2023 – 2026

Gemini Versions

Google's current Gemini frontier is Gemini 4 Argon, Stable GA since October 13, 2026 — the first Gemini 4 model, a fresh pre-training run with a unified 1M-token window, at an introductory $2 / $10 per 1M. It took the Pro slot from Gemini 3.1 Pro (February 19, 2026 preview) after Google dropped the announced Gemini 3.5 Pro; the Flash slot is Gemini 3.8 Flash (Stable GA September 2, 2026) and the cost-efficient slot Gemini 3.5 Flash-Lite (Stable GA July 21, 2026). I track every Gemini release here — from Bard's March 2023 launch and Gemini 1.0 in December 2023 onward — with API model strings, ship dates, and the major changes per version. Below the table: the Bard–to–Gemini rename, the Brain × DeepMind merger, the February 2024 image-generation incident, the DOJ search-monopoly remedies that explicitly cover the Gemini app, the $40B Anthropic investment, and the Project Astra / Live / Mariner agentic surfaces.

Family & status

Family

Pro — flagship reasoning models, including the original Gemini 1.0 Ultra tier
Flash — speed- and cost-optimized chat models, including Flash-Lite and Flash-8B
Specialized — on-device (Nano) and dedicated image / multimodal output models
Pre-Gemini — PaLM 2 and the original LaMDA-based Bard, before the December 2023 Gemini rebrand

Status

Current — actively recommended; the latest in its family
Available — still served via API but superseded
Legacy — deprecated or sunset; no longer the recommended surface

Gemini version table

Model
Gemini 4 Argon
gemini-4-argon
Pro
Current
Oct 13, 2026
The first Gemini 4 model and Google's new flagship — a new pre-training run, not a fine-tune. Unified 1M-token input-plus-output window with decodes up to 1M tokens. Announced September 30 to Fairwind cyber defenders; Stable GA October 13 at an introductory $2 / $10 per 1M. Takes the Pro slot from Gemini 3.1 Pro; the planned Gemini 3.5 Pro was dropped.
  • Released October 13, 2026 as the Stable GA gemini-4-argon; the GA entry is under the October 13, 2026 heading of the Gemini API changelog and the model page lists the id as Stable. It was announced two weeks earlier, on September 30, 2026, by Koray Kavukcuoglu (SVP, Google DeepMind and Chief AI Architect, Google) at blog.google, when access was limited to trusted cyber defenders in the Fairwind Program while Google took part in the US government's voluntary pre-release model-access process; the general-availability post, also by Kavukcuoglu, is at blog.google. This page dates the row from the changelog, per its usual convention.
  • A new model, not a post-training iteration. The model card (published October 13, 2026) says Gemini 4 Argon “is not a modification or a fine-tune of a prior model” — a sparse mixture-of-experts transformer trained on TPUs with JAX and ML Pathways, with a March 2026 knowledge cutoff. A Google spokesperson told Reuters it is larger than the company's previous Pro models, and that Google no longer plans to release Gemini 3.5 Pro, the model Sundar Pichai had said would ship in June (Reuters, via Khaleej Times, October 1, 2026). This is the “most ambitious pre-training run yet, for Gemini 4” that the July 21 Flash launch post and Pichai's Q2 earnings remarks had trailed.
  • Envelope per the model page and the latest-model developer guide: a unified 1,048,576-token limit shared by input, thinking, and output (earlier Gemini models counted a 1M input window and a separate 64K output cap); a synchronous response still stops at 65,536 tokens, but long decode via background execution continues in hops of up to 64K each, to 1M tokens minus the input. Text, image, video, audio, and PDF in; text out. Thinking is tunable across low / medium (default) / high — minimal and thinking_budget return an error — and temperature / top_p / top_k are ignored. Explicit context caching is not supported; implicit caching discounts repeated prefixes by 95%. Agentic video understanding is GA, computer use is in preview, and the Live API is not supported. Migration guidance says to raise max_output_tokens to at least 32,768, because the model spends more of the limit on thinking.
  • Priced per the pricing page at an introductory $2.00 / $10.00 per million input / output tokens through November 30, 2026, doubling to $4.00 / $20.00 on December 1, 2026; cached input is $0.10 (then $0.20), Batch and Flex are half the standard rate, and Priority is 1.8×. Not available on the free tier — the first Gemini flagship to launch paid-only on the Gemini API.
  • Vendor-stated results, from the model card's table (text this time, not a chart image): 77.9% on DeepSWE v1.1, 68.9% on the Vals Index, 51.3% on AutomationBench, 65.4% on Vals Finance Agent v2, 91.7% on LVBench, 84.2% on GraphWalks at 256K–1M, 68.0% on CWE-bench v1 (tied), and 87% on the ERQA embodied-reasoning benchmark per the DeepMind robotics post. The same table shows it trailing on FrontierSWE v2 (55.0% against GPT-6 Astra's 65.5%), Terminal-bench 4.0 (57.4% against Claude Opus 5.5's 66.4%), Terminal-Bench Science (57.6%), and PostTrainBench — Reuters' summary was that Argon was behind on two of the four coding benchmarks Google chose to publish. Google's framing of the model: it “works longer and harder” on hard problems, and “answers questions more directly with less hedging.”
  • Safety, per the card and the companion post by Anca Dragan (VP, AI Safety & Behavior) and Raluca Ada Popa (Head of Gemini Security) at blog.google: under the Frontier Safety Framework Google cannot rule out that Argon reaches the biological CCL, the cybersecurity CCL, or the Stealth and Situational Awareness TCL (it passes 14 of 15 of Google's challenges in that domain), so it ships under safety cases and a residual-risk assessment rather than a clean “no level reached” result — a first for a Gemini row on this page. Google also cites 0.7% attack success on Gray Swan's indirect-prompt-injection benchmark and a 2% rate of task-shortcut attempts on coding benchmarks, and says it does not penalize chain-of-thought content during training so the reasoning stays monitorable.
  • Surfaces at GA: the Gemini API paid tier in Google AI Studio and Android Studio; Google Antigravity and AI Studio for Google AI Ultra subscribers; the Gemini app and AI Mode in Search for AI Pro and Ultra subscribers; and Gemini for business. The Antigravity managed agent (antigravity-preview-09-2026) accepts model: gemini-4-argon. On the enterprise side the Gemini Enterprise Agent Platform page lists it as Launch stage: GA with an October 13, 2026 release date and a retirement date of October 13, 2027 or later, alongside a Gemini 4 Argon Cyber Permissive variant — the guardrails-off build for vulnerability discovery and patching, available behind an allowlist as a “Google Frontier Cyber Model” under Section 31 of the Service Specific Terms. Google is also offering 10,000 scientists six months of Antigravity's top usage tier free, and expanding Fairwind to hundreds of additional partners. The deprecations table had not yet grown a Gemini 4 block at its October 12, 2026 stamp.
Model
Gemini 3.8 Flash TTS (and Flash-Lite TTS)
gemini-3.8-flash-tts, gemini-3.8-flash-lite-tts
Specialized
Available
Sep 22, 2026
A GA text-to-speech pair — one studio-fidelity creative tier, one high-throughput tier — plus a new /v1beta/voices endpoint, prompt-designed custom voices, and consent-verified voice replication. Replaces Gemini 3.1 Flash TTS.
  • Released September 22, 2026 as two generally available ids: gemini-3.8-flash-tts, the flagship creative tier, and gemini-3.8-flash-lite-tts, the cost-efficient tier that Google explicitly builds “to replace gemini-3.1-flash-tts-preview for high-throughput production.” The GA entry is under the September 22, 2026 heading of the Gemini API changelog and the deprecations table dates both to September 22, 2026 with no shutdown announced. The announcement post, by Leland Rechis (Group Product Manager) and Alan Cowen (Director, Research Science, on behalf of the Gemini Audio Team), went up a day later at blog.google — this page dates the row from the changelog, per its usual convention.
  • Both are based on Gemini 3 Pro, not on 3.8 Flash. The shared Gemini 3.8 Audio model card — retitled since the September 15 Live launch to cover all four 3.8 audio models — defers its architecture, training-data, hardware, and software sections to the Gemini 3 Pro card, and gives the same January 2025 knowledge cutoff. Envelope per the API docs: text in, audio out, an 8,192-token input limit and a 16,384-token output limit on each id — the model pages label that output cap a Gemini API serving limit, and the model card gives the models themselves 64K; thinking, function calling, and structured outputs are all unsupported, while caching, Batch, Flex, and Priority inference are.
  • The headline feature is a voice studio rather than a fixed preset list: a new GET /v1beta/voices endpoint, generative Voice design (build a voice from a natural-language prompt across 100+ languages and dialects), an Extended Voice Library the launch post puts at 2,000+ production-ready voices against the 30 it shipped before (the changelog entry for the same release says the endpoint queries “150+ prebuilt and custom voices”), and Voice replication from a 30-second sample. Replication is gated on a verbal consent recording from the voice owner that must match the reference speaker, and every clip carries SynthID watermarking plus C2PA credentials. Voice remixing is announced as “coming soon.”
  • The two ids share an API schema and differ on language coverage and price: 130 languages for Flash TTS, 101 for Flash-Lite TTS, per the model pages. Migration off gemini-3.1-flash-tts-preview is a breaking change — input text is now treated as a verbatim transcript, so turn-level direction moves into a structured speech_metadata block (speaker, style) and only point-in-time vocal events (<laugh>, <sigh>, <short pause>) stay inline in angle brackets.
  • Priced per the pricing page at an introductory $0.50 per 1M text input tokens for both, with audio output at $9.00 per 1M for Flash TTS and $6.00 for Flash-Lite TTS, through December 31, 2026; every one of those rates doubles on January 1, 2027. Free of charge on the free tier.
  • Vendor-stated results: Flash TTS takes the #1 overall spot on Hume AI's Voice Design Benchmark at 71.4, and 60.8 on accent modeling; the two ids take #1 and #2 on Hume AI's Overall Quality Index. Google also cites top placements in blind human preference tests on Voice Arena across Japanese, Brazilian Portuguese, Vietnamese, Modern Standard Arabic, Mexican Spanish, and Hindi.
  • Surfaces at launch: both ids in the Gemini API and Google AI Studio (which gained an audio playground the same day), Flash TTS in Gemini Notebook and Flash-Lite TTS in Google Vids, with Gemini Enterprise “coming soon” for both. Both ids reached the Vertex AI roster by its October 15, 2026 stamp, filed under Preview there even though the Gemini API calls them Stable. This is a Specialized audio row: it did not change the Pro or Flash tier.
Model
Gemini 3.8 Live (and Live Extended Thinking)
gemini-3.8-live, gemini-3.8-live-extended-thinking
Specialized
Available
Sep 15, 2026
A GA audio-to-audio pair for the Live API — one low-latency default, one high-reasoning variant that thinks in the background while it keeps talking. 97 languages, near-real-time visual input, asynchronous tool calls. Supersedes Gemini 3.1 Flash Live.
  • Released September 15, 2026 as two generally available audio-to-audio ids for the Live API: gemini-3.8-live, the default for low-latency voice agents, and gemini-3.8-live-extended-thinking, which reasons in the background while continuing to stream speech. The announcement, by Tom Ouyang (Principal Engineer) and Malini Jaganathan (Member of Technical Staff, on behalf of the Gemini Audio Team), is at blog.google; the GA entry is under the September 15, 2026 heading of the Gemini API changelog, and the deprecations table dates both to September 15, 2026 with no shutdown announced. Neither id carries a -preview suffix and each model's doc page lists it under Stable, so this page treats both as GA.
  • Both are built on Gemini 3 Pro, not on 3.8 Flash. The shared Gemini 3.8 Audio model card defers its architecture, training-data, hardware, and software sections to the Gemini 3 Pro card. Envelope per the API docs: 131,072-token input context, 65,536-token output, audio and text out, audio / image / video / text in, and a January 2025 knowledge cutoff. thinking_level is not supported on gemini-3.8-live (it uses interleaved reasoning instead); the Extended Thinking id supports thinking and async-only function calling.
  • Vendor-stated results: 3.8 Live Extended Thinking takes the #1 overall spot on Artificial Analysis' Speech to Speech Quality Index at 82.6, with 68.6% on τ-Voice, 35.1% on Sierra's τ-Voice-banking benchmark, and 97.7% on Big Bench Audio; 3.8 Live placed second in the Speech Agent Arena. Google also cites ServiceNow's EVA-Bench, noting that run was done on the Live API on the Gemini Enterprise Agent Platform.
  • Behavioral headlines for 3.8 Live: it processes visual input in near real time, automatically detects and switches between 97 languages mid-conversation, and executes tools and API calls in the background while the conversation continues. Extended Thinking reasons and speaks simultaneously, using verbal cues (“Let me check that…”) and live progress narration during multi-step background work.
  • Migrating off gemini-3.1-flash-live-preview is a breaking change, per the model page: asynchronous function calling (behavior: NON_BLOCKING) is now the default, proactive audio is permanently enabled (setting it false returns an error), affective dialogue has been removed from the API, and turn coverage defaults to including video activity. The deprecations table now names gemini-3.8-live as the recommended replacement for both gemini-3.1-flash-live-preview and gemini-2.5-flash-native-audio-preview-12-2025, and the API models page now describes 3.1 Flash Live as a “legacy audio-to-audio preview model.” Both predecessors have since acquired a shutdown date of November 17, 2026 on the deprecations table (at its October 12, 2026 stamp); until then they are still served, so 3.1 Flash Live keeps an Available badge here.
  • Priced per the pricing page on one shared table: paid-tier input at $0.75 per 1M text tokens, $3.00 (~$0.005/min) audio, $1.00 (~$0.002/min) image or video, and output at $4.50 per 1M text tokens, $12.00 (~$0.018/min) audio; free of charge on the free tier. All generated audio is watermarked with SynthID.
  • Surfaces at launch: 3.8 Live in the Gemini API, Google AI Studio, and Search Live, with private preview in Gemini Enterprise; Extended Thinking in the API and AI Studio, in Gemini Live in the Gemini app, and across Workspace — Docs Live for Google AI Pro and Ultra subscribers, Gmail and Keep for all Google AI subscribers. gemini-3.8-live reached the Vertex AI roster's generally-available block by its September 24, 2026 stamp; at the roster's October 15, 2026 stamp Extended Thinking is still absent from it, even though the model card lists the Gemini Enterprise Agent Platform as a distribution channel for both. This is a Specialized audio row: it did not change the Pro or Flash tier.
  • Live Avatar arrived nine days later, on September 24, 2026 — a feature of 3.8 Live rather than a new model id, pairing near-real-time video generation with the live dialogue stream so the model answers as an animated visual persona with lip-sync, expressions, and turn-taking. It keeps the 97-language mid-conversation switching and the background tool calls, adds custom avatars generated from a reference image (enterprise allowlist only), and watermarks both the audio and the video with SynthID. Availability is Gemini Enterprise only at launch. The model card notes the Avatar path trades output budget and duration for the video — 24K output tokens instead of 64K, and “a few minutes of continuous interaction, rather than extended hours.” The announcement, by Shuo-yiin Chang (Research Scientist) and CJ Zheng (Software Engineer, on behalf of the Gemini Audio Team), is at blog.google; it still has no changelog entry as of the changelog's October 14, 2026 stamp.
Model
Gemini 3.8 Flash
gemini-3.8-flash
Flash
Current
Sep 2, 2026
Stable GA three weeks after 3.7 Flash — Google's third Flash release in six weeks. A post-training iteration on 3.7 Flash aimed at long-horizon software engineering and autonomous agents, at the same $0.75 / $3.75 introductory price.
  • Released September 2, 2026 as the Stable GA gemini-3.8-flash — the third Flash release in six weeks (3.6 Flash July 21, 3.7 Flash August 13, 3.8 Flash September 2). The announcement, by Tulsee Doshi (Senior Director, Product Management) and Raluca Ada Popa (Gemini Security Lead, Google DeepMind), is at blog.google; the GA entry is under the September 2, 2026 heading of the Gemini API changelog.
  • The model card states plainly that Gemini 3.8 Flash is based on Gemini 3.7 Flash — architecture, training dataset, and hardware sections all defer to the 3.7 Flash card, so this is a post-training iteration rather than a new pre-training run. Same envelope: 1M-token input context, 64K output cap, March 2026 knowledge cutoff, text-only output. Thinking is tunable across low / medium / high with medium as the default; minimal is not supported and returns an error.
  • Priced at an introductory $0.75 / $3.75 per million input / output tokens — the same rate 3.7 Flash launched at, not a further cut — through December 31, 2026, reverting to $1.50 / $7.50 on January 1, 2027. Per the latest-model developer guide, that introductory rate covers 3.8, 3.7, and 3.6 Flash across Google AI Studio and the Gemini Enterprise Agent Platform.
  • Takes the default-agent slot from 3.7 Flash: the Antigravity agent in Gemini Managed Agents, and the Antigravity SDK, now both run on 3.8 Flash by default. The agent itself was re-cut two weeks later — on September 17, 2026 Google released antigravity-preview-09-2026, which replaced and deprecated antigravity-preview-05-2026 (shut down October 5, 2026); see the agentic-surfaces section below for the built-in-tool changes that rode along. Since October 13, 2026 the same agent also accepts Gemini 4 Argon as its model.
  • Vendor-stated results: 54.9% on HLE-Verified, plus claimed leads over 3.7 Flash and other frontier models on DeepSWE v1.1 (long-horizon software engineering), Vals Finance Agent v2, and Harvey's Legal Agent Benchmark. Worth flagging for anyone checking the work: the comparison tables in both the launch post and the model card are published as chart images rather than text, so HLE-Verified is the only figure quotable from a machine-readable source. The evaluation-methodology document names the full benchmark set — DeepSWE v1.1, Terminal-Bench 2.1 and 4.0, GDPVal-AA v2, Vals Finance Agent v2, Harvey's Legal Agent Benchmark, GDP.PDF, CharXiv Reasoning, LVBench, GDM-MRCR v2, OSWorld 2.0, HLE-Verified, BioMysteryBench, and LABBench2 — and confirms all Gemini scores are pass@1 single-attempt.
  • The design tradeoff is stated openly: 3.8 Flash “works harder,” taking extra reasoning steps and calling tools iteratively, so it can burn more tokens on complex work — Google's own guidance at launch was to lower the effort level or stay on 3.7 Flash, which “remains fully supported,” for efficiency-first workloads — advice that lasted five weeks, until Google deprecated 3.7 Flash on October 8, 2026 and began routing its requests to 3.8 Flash. Available in Google Antigravity, the Gemini API via AI Studio and Android Studio, Stitch, and Gemini Enterprise; consumers reach it on Google AI Pro and Ultra across the Gemini app, AI Mode in Search, and Gemini in Google Sheets. It ships with CBRN and cyber-offense safeguards under the Frontier Safety Framework, and the model card reports it does not reach any Tracked or Critical Capability Levels.
  • The Pro tier was unchanged by this release. Gemini 3.1 Pro was still the top Pro model, and neither Gemini 3.5 Pro nor Gemini 4 had a public model id on the September 2, 2026 API models page or Vertex AI roster. Four weeks later Google announced Gemini 4 Argon and dropped 3.5 Pro; the Argon row above has the current state, and the 3.6 Flash row below tracks what Google had said publicly about both before that.
Model
Gemini 3.8 Flash Cyber
gemini-3.8-flash-cyber — GA behind an allowlist (Fairwind Program)
Specialized
Available
Sep 2, 2026
Security-specialized sibling of 3.8 Flash for vulnerability discovery and automated patching. Gated to trusted defenders through the new Fairwind Program, paired with the CodeMender harness.
  • Announced September 2, 2026 in the same post as Gemini 3.8 Flash, at blog.google. Its delivery vehicle, the Fairwind Program, launched the same day in a companion post by Google VP of Security and Privacy Four Flynn at blog.google.
  • Same foundational intelligence as 3.8 Flash with a more permissive set of cyber mitigations. Google says the shared coding and reasoning gains in the 3.8 line were driven in part by “rigorous training in the highly demanding domain of cybersecurity,” and that it prioritized vulnerability fixing over offensive capabilities such as exploitation.
  • Vendor-stated performance: frontier-level autonomous vulnerability discovery on CyberGym, surpassing both 3.5 Flash Cyber and significantly larger frontier models; a success rate exceeding 70% on an internal benchmark spanning 20 programming languages; and 47.2% pass@1 on CWE-Bench (run by Collinear) against a leading frontier model's 47.8%, at what Google calls significantly lower cost.
  • Three internal deployment figures Google published: Chrome Security reported 2.6× more correct patches to Chrome vulnerabilities than the best much-larger commercial models; Wiz reported 7.5–9.7 percentage points higher recall on its internal penetration-testing benchmark at 2.3–5.2× lower cost; and Google's Cloud Vulnerability Research team found a critical foundational vulnerability in under two hours, work it says normally takes months.
  • Access is deliberately gated, as with 3.5 Flash Cyber before it. Fairwind is a limited-access program staged to governments and national cyber authorities, critical-infrastructure operators, and core technology platforms — more than 650 participating partners at launch — and participants agree to restrict use to internal cybersecurity, incident-response, or penetration-testing teams and to deploy protections such as multi-factor authentication. The model pairs with DeepMind's CodeMender harness to produce deployment-ready patches inside the customer's own cloud environment. Google Cloud customers outside Fairwind can still run CodeMender against publicly available models on the Gemini Enterprise Agent Platform.
  • It now has a public model id, on the enterprise side only: gemini-3.8-flash-cyber, listed among the generally available Gemini models on the Vertex AI / Gemini Enterprise Agent Platform roster since its September 24, 2026 stamp (still there at October 15), with a model page that describes it as “a post-training version of the Gemini 3.8 Flash model” and as “available in GA behind an allowlist,” requestable through your Google account team or the Fairwind Program. Envelope: 1,048,576-token context, 65,536-token output, text / image / audio / video in and text out, thinking and structured output supported, function calling and grounding not supported. It is subject to Section 31(a) of Google Cloud's Service Specific Terms as a “Gemini Cyber” model. It remains absent from the consumer-facing Gemini API models page and the deprecations table, so there is still no self-serve route to it. Its predecessor, Gemini 3.5 Flash Cyber, never got an id at all. Its successor arrived quickly: Gemini 4 Argon was announced on September 30, 2026 through the same Fairwind channel, Google says it beats 3.8 Flash Cyber on vulnerability discovery (CWE-bench v1 68% against the v0 result cited here, plus Wiz's black-box benchmark), and the Vertex roster now carries a Gemini 4 Argon Cyber Permissive variant next to this one.
Model
Gemini 3.5 Transcribe
gemini-3.5-transcribe, gemini-3.5-transcribe-live
Specialized
Available
Aug 26, 2026
A dedicated speech-to-text pair — one file endpoint, one Live-API streaming endpoint. 85+ languages with auto-detection, speaker diarization, word-level timestamps, and custom-vocabulary biasing. Replaces Chirp 3.
  • Released August 26, 2026 as two GA speech-to-text ids built on Gemini's audio understanding: gemini-3.5-transcribe for pre-recorded audio over the Interactions API and gemini-3.5-transcribe-live for bidirectional streaming over the Live API. The announcement, by Diego Melendo Casado (Senior Director, Engineering, Gemini Audio) and Luke Leonhard, is at blog.google; the GA entry is under the August 26, 2026 heading of the Gemini API changelog.
  • Vendor-stated accuracy, measured by Artificial Analysis: 4.0% average word error rate streaming, 2.6% non-streaming, and 5.50% / 5.04% respectively on the multilingual FLEURS benchmark. Google frames it against its own prior transcription model, Chirp 3, with time-to-final-transcription improved by 70%.
  • The two endpoints do not carry the same feature set, per the model page: word-level timestamps and speaker diarization (up to eight speakers; attribution beyond three is experimental) are file-endpoint only, and the streaming session caps at 10 minutes against 1 hour per file request — 30 minutes when diarization or timestamps are on. Custom-vocabulary biasing accepts up to 1,000 terms on both.
  • “Smart transcription” is the headline behavioral change: the model resolves spoken self-corrections (“let's meet Tuesday — no, Wednesday”), strips filler words, and formats alphanumeric entities such as postal codes and order IDs inline rather than emitting a raw transcript. It can also function-call out to other Gemini models for image generation or file analysis, initially only in the Gemini app on macOS.
  • Priced per the pricing page at $2.00 per million audio input tokens (about $0.003 per minute) for the file endpoint and $3.50 (about $0.005 per minute) for the streaming one, both free of charge on the free tier.
  • Consumer surfaces shipped alongside the API: Rambler in Gboard on Android, dictation in the Gemini app on macOS, screen-context-aware transcription in Google Antigravity, and voice input in AI Studio's Build mode, with Chrome “coming soon.” One source disagreement worth recording: the changelog, the API models page (which badges it New Stable), and the deprecations table all treat the ids as generally available, while the launch post's “Start using” block calls developer access “public preview.” The ids carry no -preview suffix, so this page follows the API docs.
Model
Gemini 3.7 Flash
gemini-3.7-flash — deprecated Oct 8, 2026; requests route to gemini-3.8-flash
Flash
Legacy
Aug 13, 2026
Stable GA three weeks after 3.6 Flash. Built on 3.6 Flash with algorithmic reasoning changes; big coding, web-dev, and enterprise-workflow gains at half the introductory price ($0.75 / $3.75 per 1M). Deprecated October 8, 2026, eight weeks after launch.
  • Released August 13, 2026 as the Stable GA gemini-3.7-flash — three weeks after Gemini 3.6 Flash, which Google attributes to developer feedback and algorithmic innovations rather than a new pre-training run. The announcement, by Tulsee Doshi (Senior Director, Product Management) on behalf of the Gemini team, is at blog.google; the GA entry is under the August 13, 2026 heading of the Gemini API changelog.
  • Priced at an introductory $0.75 / $3.75 per million input / output tokens — half of 3.6 Flash's launch price, and Google applied the same cut to 3.6 Flash. Both revert to $1.50 / $7.50 on January 1, 2027, per the latest-models developer guide.
  • Vendor-stated gains over 3.6 Flash from the model card: Artificial Analysis Intelligence Index 56 vs. 52; FrontierCode 1.1 Main 43.6% vs. 34.4%; DeepSWE v1.1 65.3% vs. 48.6%; Terminal-bench 2.1 85.8% vs. 78.0%; AutomationBench 30.4% vs. 17.0%; GDP.pdf document comprehension 34.0% vs. 22.0%; OSWorld-2.0 computer use 47.9% vs. 33.8%; Code Arena web-dev Elo 1588 vs. 1538. CharXiv is the one listed regression (84.5% vs. 85.2% without tools).
  • Same envelope as 3.6 Flash: 1,048,576-token input context, 65,536-token output cap, March 2026 knowledge cutoff, text-only output. Thinking is tunable across low / medium / high with medium as the default — minimal is not supported and returns an error, a change from 3.5 Flash-Lite.
  • Became the default model behind the Antigravity agent (antigravity-preview-05-2026), taking that slot from 3.6 Flash and holding it until Gemini 3.8 Flash took it over on September 2, 2026, and the model behind Gemini Spark — the always-on personal agent in the Gemini app for Google AI Pro and Ultra subscribers in 160+ countries. Also available in Google AI Studio, Android Studio, the Gemini API, the Gemini Enterprise app, and the Gemini Enterprise Agent Platform. For five weeks after 3.8 Flash it “remain[ed] fully supported,” with Google's own guidance pointing efficiency-first workloads back at it.
  • Deprecated October 8, 2026 — eight weeks after it shipped. The entry under that date in the Gemini API changelog says gemini-3.7-flash “is no longer available to select in Google AI Studio, and API requests … are automatically routed to gemini-3.8-flash”; the deprecations table gives the shutdown date as “N/A” because the endpoint itself is not shutting down, and the model page carries a deprecation banner. The id has also disappeared from the pricing page. Two surfaces have not followed: the Vertex AI roster still lists 3.7 Flash under Generally available at its October 15, 2026 stamp, with a Gemini Enterprise Agent Platform retirement date of January 28, 2027, and the models page's “Previous models” table does not list it. This page follows the changelog: the row is Legacy, the same treatment Gemini 3 Pro got when its id began redirecting.
  • Picked up agentic video understanding on September 1, 2026 — see the agentic-surfaces section below — and ships with updated CBRN and cyber-offense Frontier Safety safeguards; the model card, published the same day as the model, is on the DeepMind site. Gemini 3.5 Pro never shipped: it had no public model id on any Google surface while 3.7 Flash was current, and on September 30, 2026 Google told Reuters it no longer planned to release it, announcing Gemini 4 Argon instead (see the Argon row above).
Model
Gemini 3.6 Flash
gemini-3.6-flash
Flash
Available
Jul 21, 2026
The workhorse Flash for three weeks. 17% fewer output tokens than 3.5 Flash at a lower price; superseded by 3.7 Flash on August 13, 2026 and repriced to match it.
  • Released July 21, 2026 as the Stable GA gemini-3.6-flash, announced alongside Gemini 3.5 Flash-Lite and the limited-access Gemini 3.5 Flash Cyber; the announcement is at blog.google and the Stable listing is on the API models page.
  • 17% fewer output tokens than 3.5 Flash on the Artificial Analysis Index (up to 65% on DeepSWE), with fewer reasoning steps and tool calls per multi-step workflow — priced at launch at $1.50 / $7.50 per million input / output tokens (3.5 Flash output was $9). On August 13, 2026 Google cut 3.6 Flash to the same introductory $0.75 / $3.75 as 3.7 Flash, reverting to $1.50 / $7.50 on January 1, 2027.
  • Vendor-stated gains over 3.5 Flash: DeepSWE 49% vs. 37%; MLE-Bench 63.9% vs. 49.7%; GDPval-AA v2 1421 vs. 1349; OSWorld-Verified 83.0% vs. 78.4%. Computer use is a built-in tool; the knowledge cutoff advances to March 2026. 1,048,576-token input context; 65,536-token output cap.
  • Was the default model powering the Antigravity agent until 3.7 Flash took that slot on August 13, 2026; available day one in the Gemini app, AI Studio, Android Studio, Antigravity, and the Gemini Enterprise Agent Platform. Ships with strengthened CBRN / cyber-offense Frontier Safety safeguards; the model card is on the DeepMind site.
  • Starting with 3.6 Flash and 3.5 Flash-Lite, the API deprecates the temperature / top_p / top_k sampling parameters and rejects prefilled model turns, per the latest-models developer guide.
  • Gemini 3.5 Pro did not ship alongside it. Bloomberg reported July 16, 2026 that the rollout was delayed after the model fell short of internal performance goals; the launch post says it is “currently testing with partners” and will ship “as soon as it's ready.” The same post says Google has “started our most ambitious pre-training run yet, for Gemini 4.” Sundar Pichai repeated both points a day later on the Alphabet Q2 2026 earnings call (July 22, 2026): “Gemini 3.5 Pro is currently in testing. And our team is already building the next generation of models.” Hassabis went a step further on August 5, 2026, telling Google DeepMind staff he was “excited about the great progress we're making with our new models including Gemini 4” (blog.google). Neither Gemini 3.5 Pro nor Gemini 4 had a public model id when Gemini 3.7 Flash shipped three weeks later. The resolution came on September 30, 2026: Google announced Gemini 4 Argon and said 3.5 Pro would not ship at all — see the Argon row above.
Model
Gemini 3.5 Flash-Lite
gemini-3.5-flash-lite
Flash
Available
Jul 21, 2026
Fastest, cheapest 3.5-family model — 350 output tokens/s, $0.30 / $2.50 per 1M. Replaces 3.1 Flash-Lite as the recommended high-throughput tier. Rolling out in Google Search.
  • Released July 21, 2026 as the Stable GA gemini-3.5-flash-lite, in the same announcement as Gemini 3.6 Flash; the post is at blog.google and the model page at ai.google.dev.
  • 350 output tokens per second (Artificial Analysis) at $0.30 / $2.50 per million input / output tokens — the fastest model in the 3.5 series, positioned for agentic search, document processing, and high-volume subagent execution.
  • Vendor-stated gains over 3.1 Flash-Lite: Terminal-Bench 2.1 54% vs. 31%; GDM-MRCR v2 long-context 72.2% vs. 60.1%; GDPval-AA v2 1140 vs. 642. It also beats Gemini 3 Flash on SWE-Bench Pro (54.2% vs. 49.6%) and OSWorld-Verified (74.0% vs. 65.1%).
  • Computer use built in as a native tool; configurable thinking levels with a minimal default for maximum throughput. Available in the Gemini app, AI Studio, Android Studio, and the Gemini Enterprise Agent Platform, and rolling out in Google Search.
  • The model card is on the DeepMind site.
Model
Gemini 3.5 Flash Cyber
no public API id — limited-access pilot via CodeMender
Specialized
Available
Jul 21, 2026
Security-specialized 3.5 Flash fine-tune for finding, validating, and patching code vulnerabilities. Limited-access pilot for governments and trusted partners via CodeMender.
  • Announced July 21, 2026 alongside Gemini 3.6 Flash and 3.5 Flash-Lite; the announcement is at blog.google, with a DeepMind companion post at deepmind.google.
  • Built on Gemini 3.5 Flash and fine-tuned for finding and fixing cybersecurity vulnerabilities at a lower price per token than larger models; competitive at the frontier on the CyberGym benchmark (vendor-stated) when run as multiple agents inside CodeMender.
  • CodeMender — DeepMind's code-security agent — orchestrates multiple 3.5 Flash Cyber agents into a single combined vulnerability report.
  • Access is deliberately gated. Google says the model will be “exclusively available to governments and trusted partners” via CodeMender as a limited-access pilot program, citing the dual-use nature of the capability. It has no public API model id and is absent from the API models page; this row records the announcement, not a generally available surface.
  • Superseded on September 2, 2026 by Gemini 3.8 Flash Cyber, which Google says surpasses it on the CyberGym vulnerability-discovery benchmark and which moved the access channel from the CodeMender pilot to the named Fairwind Program.
Model
Gemini 3.5 Live Translate
gemini-3.5-live-translate-preview
Specialized
Available
Jun 9, 2026
Low-latency audio-to-audio speech translation in 70+ languages. Shipping to Google Meet and the Google Translate app on Android / iOS.
  • Released June 9, 2026 in preview as gemini-3.5-live-translate-preview; the announcement is at blog.google. Documented at ai.google.dev.
  • Near real-time speech-to-speech translation with 70+ source and target languages, enabling 2,000+ bidirectional language combinations with high accuracy and natural voice output.
  • Uses the Gemini Live API for low-latency audio-to-audio streaming; designed for conversational translation use cases including video calls and in-person real-time translation.
  • Rolling out to Google Meet for spoken-conversation translation and to the Google Translate app (Android and iOS) for the Live translate feature; all audio output watermarked with SynthID.
  • A Specialized sibling to gemini-3.1-flash-live-preview and gemini-3.1-flash-tts-preview in the 3.x audio stack, purpose-built for the translation use case rather than general dialogue.
Model
Gemini 3.5 Flash
gemini-3.5-flash — deprecated Oct 8, 2026; requests route to gemini-3.6-flash
Flash
Legacy
May 19, 2026
Frontier-class Flash that outperformed Gemini 3.1 Pro on hard coding and agentic benchmarks. Kicked off the 3.5 family at Google I/O. Superseded as the workhorse by Gemini 3.6 Flash on July 21, 2026; deprecated October 8, 2026.
  • Released May 19, 2026 at Google I/O as the generally available (GA) gemini-3.5-flash; the announcement is at blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-5 and the Stable label is on the API models page.
  • Outperforms Gemini 3.1 Pro on hard coding and agentic benchmarks — the first Flash tier to beat the prior generation's Pro flagship at frontier evaluation suites.
  • Roughly 4× faster output tokens per second than other frontier models (vendor-stated); the default agentic coding model on Google surfaces until Gemini 3.6 Flash took over the Antigravity-agent default on July 21, 2026.
  • Powers Gemini Spark, Google's new always-on personal AI agent, and is the default behind the Gemini app and Search AI Mode.
  • Computer use became a built-in tool in 3.5 Flash on June 24, 2026 — the standalone Gemini 2.5 computer-use model folded natively into the main Flash model, letting developers build agents that see, reason, and act across browser, mobile, and desktop; the announcement is at blog.google.
  • Superseded as Google's workhorse Flash by gemini-3.6-flash on July 21, 2026, and deprecated on October 8, 2026. Per the entry under that date in the Gemini API changelog, gemini-3.5-flash can no longer be selected in Google AI Studio and API requests to it are automatically routed to gemini-3.6-flash; the deprecations table gives the shutdown date as “N/A” because the endpoint keeps answering, under the other model. The Vertex AI roster still lists it as generally available at its October 15, 2026 stamp. Same treatment as 3.7 Flash, deprecated the same day: Legacy here.
  • Gemini 3.5 Pro was announced at the same event and never shipped. The I/O post said Google was “hard at work on 3.5 Pro,” that it was “already being used internally,” and that Google looked forward to “rolling it out next month” — i.e. June 2026. It never acquired a public model id on the API models page or the Vertex AI roster, and on September 30, 2026 a Google spokesperson told Reuters the company no longer planned to release it; the Pro slot went instead to Gemini 4 Argon on October 13, 2026 (the delay is detailed in the Gemini 3.7 and 3.6 Flash rows above). Gemini Omni Flash — a multimodal “any-input, any-output” model anchored on video — was announced alongside, reached developers as gemini-omni-flash-preview on June 30, 2026, and went stable GA as gemini-omni-1.1-flash on August 27, 2026 (covered in the Imagen / Veo section below).
Model
Gemini 3.1 Flash TTS
gemini-3.1-flash-tts-preview
Specialized
Available
Apr 15, 2026
Cost-efficient, expressive, steerable text-to-speech. Adds new expressive audio tags for precise narration control over Gemini 2.5 Flash TTS. Superseded by the Gemini 3.8 TTS pair on September 22, 2026.
  • Released April 15, 2026 in preview; the launch is recorded in the Gemini API changelog entry for that date.
  • Powerful, low-latency speech generation with natural outputs, steerable prompts, and new expressive audio tags for precise narration control — the 3.1-family successor to gemini-2.5-flash-preview-tts.
  • Documented alongside the broader speech-generation stack at ai.google.dev/gemini-api/docs/speech-generation; sits as a Specialized sibling to the Flash-Live audio-to-audio model.
  • Available via the Gemini API in Google AI Studio.
  • Superseded on September 22, 2026 by the Gemini 3.8 TTS pair. The API models page now describes it as a “legacy TTS preview model” and the deprecations table names gemini-3.8-flash-tts or gemini-3.8-flash-lite-tts as the recommended replacement, and since its October 12, 2026 stamp gives the id a November 17, 2026 shutdown date (the same day as gemini-3.1-flash-live-preview and the 2.5-era audio previews). It is still served until then, so the id keeps an Available badge here. One source disagreement worth recording: the deprecations table dates this id to February 26, 2026 in its Gemini 3 block, against the April 15, 2026 changelog heading this row uses. The table used to carry a second entry for it in its audio block, dated April 13, 2026; that entry is gone at the table's September 24, 2026 stamp.
Model
Gemini 3.1 Flash Live
gemini-3.1-flash-live-preview
Specialized
Available
Mar 26, 2026
High-quality, low-latency audio-to-audio (A2A) model for real-time dialogue and voice-first AI apps. Backs the Live API on Gemini 3.1.
  • Released March 26, 2026 in preview as the latest audio-to-audio (A2A) model; the launch is recorded in the Gemini API changelog entry for that date.
  • Designed for real-time dialogue and voice-first AI applications — the 3.1-family successor to gemini-2.5-flash-native-audio-preview-12-2025, sitting under the Live API.
  • Documented alongside the broader Live API surface at ai.google.dev/gemini-api/docs/live-api; sits as a Specialized sibling to Flash TTS in the audio-output stack.
  • Available via the Gemini API in Google AI Studio.
  • Superseded by Gemini 3.8 Live on September 15, 2026. The API models page now describes this id as a “legacy audio-to-audio preview model” and points at gemini-3.8-live, which the deprecations table also lists as the recommended replacement. The deprecations table now gives it a shutdown date of November 17, 2026 (at its October 12, 2026 stamp); it keeps an Available badge here until then, because it is still served and still listed under a live section rather than the models page's shut-down “Previous models” table. Note that migrating is not a drop-in swap — see the 3.8 Live row for the function-calling, proactive-audio, and affective-dialogue breaking changes.
Model
Gemini 3.1 Flash-Lite
gemini-3.1-flash-lite
Flash
Available
Mar 3, 2026
First Flash-Lite in the Gemini 3 series. Cost-efficient tier below 3 Flash for high-throughput / low-latency. GA on May 7, 2026.
  • Released March 3, 2026 in preview as gemini-3.1-flash-lite-preview; the announcement is at blog.google.
  • GA on May 7, 2026 as gemini-3.1-flash-lite; the preview snapshot gemini-3.1-flash-lite-preview was shut down on May 25, 2026 per the Gemini API changelog.
  • First Flash-Lite tier in the Gemini 3 series — the cost-efficient companion to Gemini 3 Flash, sitting below it on price/performance and replacing the 2.5 Flash-Lite lineage as the cheapest production tier.
  • Available via the Gemini API in Google AI Studio and via Vertex AI for enterprise customers.
  • The Vertex AI model card sits at docs.cloud.google.com.
  • Superseded by Gemini 3.5 Flash-Lite on July 21, 2026. The stable gemini-3.1-flash-lite id is still listed as Stable and served, but now carries an announced shutdown date of May 7, 2027 with gemini-3.5-flash-lite as the recommended replacement, per the Gemini API deprecations page.
Model
Gemini 3.1 Pro
gemini-3.1-pro-preview
Pro
Available
Feb 19, 2026
Reasoning + agentic refresh of Gemini 3 Pro. ARC-AGI-2 jumped from 31.1% to 77.1%. 1M input / 65K output. Held the Pro slot for eight months, until Gemini 4 Argon on October 13, 2026.
  • Released February 19, 2026; the announcement is at blog.google. Replaced gemini-3-pro-preview, which was deprecated on March 9, 2026.
  • ARC-AGI-2 jumped from 31.1% to 77.1% over the 3 Pro baseline; agentic-benchmark gains in the 45–80% range across coding, browser, and tool-use evals (vendor-stated).
  • 1,048,576-token input context; 65,536-token output cap. Multimodal across text, audio, images, video, and full code repositories.
  • Available across the Gemini app (AI Pro and AI Ultra tiers), NotebookLM, Google AI Studio, the Antigravity agent platform, Vertex AI, Gemini Enterprise, the Gemini CLI, and Android Studio at launch.
  • Deep Think mode now sits on top of 3.1 Pro. Google DeepMind describes Gemini 3.1 Deep Think as “our most specialized reasoning mode… built on top of Gemini 3.1 Pro,” carrying forward the parallel-thinking pattern that started with Gemini 2.5 Deep Think and continued in Gemini 3 Deep Think.
  • The model card is published on the DeepMind site.
  • Superseded by Gemini 4 Argon on October 13, 2026. Its successor was never the announced Gemini 3.5 Pro, which Google dropped; see the Argon row above. gemini-3.1-pro-preview is still served and still priced at $2 / $12 per 1M, with no shutdown date announced on the deprecations table, and it remains in Public preview on the Vertex AI roster.
Model
Gemini 3 Flash
gemini-3-flash-preview
Flash
Available
Dec 17, 2025
Was the default model in the Gemini app and Search AI Mode until Gemini 3.5 Flash GA in May 2026. “Pro-grade reasoning at Flash speed.” $0.50 / $3 per 1M tokens.
  • Released December 17, 2025; the announcement is at blog.google/products/gemini/gemini-3-flash.
  • Replaced Gemini 2.5 Flash as the default in the Gemini app and in Search's AI Mode.
  • Pricing $0.50 / $3.00 per million input / output tokens at launch.
  • Available simultaneously across the Gemini API, AI Studio, Antigravity, the Gemini CLI, Android Studio, Vertex AI, and Gemini Enterprise.
  • Marketed as “Pro-grade reasoning at Flash-level speed”; the smaller, cheaper companion to Gemini 3 Pro and (later) 3.1 Pro.
Model
Gemini 3 Pro
gemini-3-pro-preview — shut down 2026-03-09
Pro
Legacy
Nov 18, 2025
First Google model launched simultaneously into Search, Gemini app, AI Studio, Vertex AI, and the Gemini CLI on day one. Top of LMArena at 1501 Elo at launch.
  • Released November 18, 2025; the announcement is at blog.google/products/gemini/gemini-3.
  • Day-one rollout across Search, Gemini app, AI Studio, Vertex AI, and the Gemini CLI — Google's first model launched simultaneously into Search.
  • Topped the LMArena Text Arena at 1501 Elo at launch; 37.5% on Humanity's Last Exam (no tools); 91.9% GPQA Diamond.
  • Introduced the Gemini 3 Deep Think mode, gated to AI Ultra subscribers and safety-tester cohorts. The mode generalized the parallel-thinking pattern from Gemini 2.5 Deep Think.
  • Superseded by Gemini 3.1 Pro on February 19, 2026; gemini-3-pro-preview was shut down on March 9, 2026 and the id now redirects to gemini-3.1-pro-preview per the Gemini API deprecations page.
Model
Gemini 2.5 Flash Image (“Nano Banana”)
gemini-2.5-flash-image
Specialized
Available
Aug 26, 2025
Image generation and natural-language editing inside the Gemini API. Character consistency, scene blending, local edits. SynthID watermarked.
  • Released August 26, 2025; the announcement is at developers.googleblog.com. Documented at ai.google.dev.
  • Character consistency, scene blending, and natural-language local edits — remove people, change pose, colorize, restyle — without the round-trip to a dedicated image-generation app.
  • Codenamed Nano Banana in pre-release testing; the codename stuck in much of the developer-community framing of the launch.
  • All output watermarked with SynthID; pricing approximately $30 per million output tokens (~$0.039 / image).
  • Distinct from the Imagen model line; covered briefly in the Imagen / Veo prose section below.
  • Superseded by the Nano Banana 2 lineage. gemini-2.5-flash-image is still served. Its announced shutdown date was October 2, 2026, but the Gemini API deprecations page now gives March 15, 2027 (at its October 12, 2026 stamp), with gemini-3.1-flash-lite-image (Nano Banana 2 Lite) as the recommended replacement; the id also stays in the access-limited 2.5 block on the models page.
Model
Gemini 2.5 Deep Think
mode toggle within gemini-2.5-pro — AI Ultra only
Pro
Available
Aug 1, 2025
Parallel-thinking mode on top of Gemini 2.5 Pro. Generates and cross-evaluates many candidate solutions. AI Ultra subscribers only at $249.99/mo.
  • Released August 1, 2025; the announcement is at blog.google/products/gemini/gemini-2-5-deep-think. Model card at storage.googleapis.com (PDF).
  • Parallel thinking — the model generates many candidate ideas, considers them simultaneously, and revises or combines them before answering, rather than producing a single chain-of-thought trace.
  • Available only on the Google AI Ultra tier ($249.99/month) at launch, with a fixed daily prompt cap; first teased at Google I/O 2025.
  • State-of-the-art on LiveCodeBench V6 at launch; the same pattern was generalized into the gated Gemini 3 Deep Think mode on Gemini 3 Pro.
Model
Gemini 2.5 Flash-Lite
gemini-2.5-flash-lite
Flash
Available
Jul 22, 2025
Cheapest, fastest member of the 2.5 family. $0.10 / $0.40 per 1M tokens. 1M context. Routine recommendation for high-volume cheap-tier work.
  • Preview shipped June 17, 2025 alongside the 2.5 Pro / Flash GA; stable GA on July 22, 2025. The announcement is at developers.googleblog.com.
  • $0.10 / $0.40 per million input / output tokens at launch — the cheapest tier in the 2.5 family.
  • 1M-token context window; optimized for high-volume, low-latency workloads (classification, routing, summarization, agent steps).
  • Updated preview gemini-2.5-flash-lite-preview-09-2025 shipped September 25, 2025 with quality improvements; the stable id remained gemini-2.5-flash-lite.
Model
Gemini 2.5 Flash
gemini-2.5-flash
Flash
Available
Jun 17, 2025
The Flash sibling to 2.5 Pro. Default Gemini-app model from Google I/O 2025 until 3 Flash took over in December. Native audio output. Project Mariner computer use.
  • Preview unveiled at Google I/O 2025 on May 20, 2025; stable GA on June 17, 2025. The I/O announcement is at blog.google; thinking-mode updates at developers.googleblog.com.
  • Default Gemini-app model from I/O 2025 until Gemini 3 Flash took over the slot in December 2025.
  • 20–30% fewer tokens used in evals vs. the prior preview SKU; native audio output and “thought summaries” for enterprise auditability.
  • First Flash-tier model with Project Mariner computer-use capabilities folded in.
Model
Gemini 2.5 Pro
gemini-2.5-pro
Pro
Available
Mar 25, 2025
First Gemini family member to ship as a thinking model. Built-in chain-of-thought reasoning with a controllable thinking budget. 1M context.
  • Experimental released March 25, 2025; stable GA on June 17, 2025 after preview snapshots gemini-2.5-pro-preview-03-25, -05-06, and -06-05. The announcement is at blog.google.
  • First Gemini family member to ship reasoning as a default capability rather than a separate Thinking-Experimental SKU — built-in chain-of-thought, with a controllable thinkingBudget parameter.
  • 63.8% on SWE-Bench Verified at launch; 18.8% on Humanity's Last Exam (no tools).
  • 1M-token context window at launch; the 2M expansion that 1.5 Pro pioneered remained on Google's roadmap rather than shipping immediately.
  • The Deep Think mode on top of 2.5 Pro shipped four months later (August 1, 2025) on the AI Ultra tier; the page row above covers it.
  • The whole 2.5 line went access-limited on September 18, 2026 — not deprecated. Google now serves the 2.5 models only to “users who have actively used them in the past,” pointing new projects at 3.5 Flash-Lite or 3.8 Flash and citing capacity. The notice sits on the API models page above every 2.5 section and under the September 18, 2026 heading of the changelog, which says the models “will continue to be served until further notice.” No 2.5 id has a shutdown date on the deprecations table, so the 2.5 rows on this page keep their Available badges — but the id is no longer reachable from a new API project.

The reasoning era — March 25, 2025. Above this line: the 2.5 and 3.x generations, where reasoning, multi-agent collaboration, native image generation, and agentic surfaces (Astra, Mariner, Antigravity) became first-class capabilities and the Gemini app moved to a one-launch-everywhere release pattern. Below: the 2.0 family's Thinking-Experimental separate-SKU era, and before that the 1.5 long-context era, the original 1.0 Ultra / Pro / Nano line, and the pre-Gemini PaLM 2 / Bard era.

Model
Gemini 2.0 Pro Experimental
gemini-2.0-pro-exp-02-05
Pro
Legacy
Feb 5, 2025
Largest context window of the era at 2M tokens. Top coding and world-knowledge model when shipped.
  • Released February 5, 2025 alongside 2.0 Flash GA and 2.0 Flash-Lite. The announcement is at blog.google.
  • 2,000,000-token context window — matched the 1.5 Pro 2M expansion of June 2024 and remained the largest Gemini context for several months.
  • Top of Google's coding and world-knowledge benchmarks for the 2.x family at launch; superseded by Gemini 2.5 Pro seven weeks later.
  • Shipped only as an Experimental SKU; never reached a stable gemini-2.0-pro id.
Model
Gemini 2.0 Flash + Flash-Lite
gemini-2.0-flash, gemini-2.0-flash-lite — shut down Jun 1, 2026
Flash
Legacy
Feb 5, 2025
2.0 Flash GA. 2.0 Flash-Lite as the cost-optimized sibling. Outperformed 1.5 Pro at twice the speed.
  • Both stable ids shipped February 5, 2025; the developer-side announcement is at developers.googleblog.com.
  • Outperformed Gemini 1.5 Pro on most benchmarks at twice the speed by Google's accounting at launch.
  • 1M-token context window across both SKUs.
  • 2.0 Flash-Lite was positioned as the cost-optimized variant for high-volume work; later superseded by the 2.5 Flash-Lite family in July 2025.
  • gemini-2.0-flash and gemini-2.0-flash-lite (including -001 aliases) were shut down June 1, 2026 per the Gemini API changelog; use gemini-3.5-flash or gemini-3.1-flash-lite instead.
Model
Gemini 2.0 Flash Thinking Experimental
gemini-2.0-flash-thinking-exp-1219
Flash
Legacy
Dec 19, 2024
Google's first reasoning model. Visible “thinking process” in the response. The OpenAI o1 response, three months after o1-preview.
  • Released December 19, 2024; competitive with OpenAI's o1 family that had launched September–December 2024.
  • Visible “thinking process” — the response surface exposed the model's chain-of-thought, the same pattern that Gemini 2.5 Pro later folded into the default Pro tier.
  • 32,767-token context at launch — substantially smaller than the 1M-token 2.0 Flash family it sat alongside.
  • Free in Google AI Studio at launch with a 2 RPM / 50 RPD limit; superseded by the integrated reasoning in Gemini 2.5 Pro three months later.
Model
Gemini 2.0 Flash (Experimental)
gemini-2.0-flash-exp
Flash
Legacy
Dec 11, 2024
Project Astra, Project Mariner, and Jules debut alongside. Native multimodal output (image, multilingual TTS) and Multimodal Live API.
  • Released December 11, 2024 in the “agentic era” framing post; the announcement is at blog.google.
  • Project Astra (universal AI agent prototype), Project Mariner (browser-controlling agent), and Jules (developer agent) all debuted alongside this release.
  • Native multimodal output: image generation and steerable, multilingual text-to-speech in a single API call.
  • Native tool use including Google Search and code execution; first model to expose the Multimodal Live API for real-time audio and video conversations.
  • Superseded by the GA gemini-2.0-flash on February 5, 2025.
Model
Gemini 1.5 Flash-8B
gemini-1.5-flash-8b
Flash
Legacy
Oct 3, 2024
Lowest cost-per-intelligence in the 1.5 family. 8B-parameter Flash sibling. 1M context.
  • Experimental released September 2024; stable GA on October 3, 2024. The announcement is at developers.googleblog.com.
  • Smallest Gemini SKU to ship a public API id at launch; positioned for the highest-volume cheap-tier agent steps.
  • 1M-token context window despite the smaller parameter count; superseded by the 2.0 / 2.5 Flash-Lite line.
Model
Gemini 1.5 — 2M context, “002” refresh
gemini-1.5-pro-002, gemini-1.5-flash-002
Pro
Legacy
Sep 24, 2024
2M context for 1.5 Pro (June 27, 2024). Stable “002” refresh of Pro and Flash with reduced 1.5 Pro pricing (September 24, 2024).
  • Two consecutive milestones rolled into one row. 2,000,000-token context for 1.5 Pro shipped June 27, 2024 alongside code execution; the announcement is at developers.googleblog.com.
  • “002” stable refresh of both 1.5 Pro and 1.5 Flash on September 24, 2024 with reduced 1.5 Pro pricing and increased rate limits; developer-blog post.
  • The 2M context expansion was the first time any production frontier model went beyond 1M; the milestone became the routine framing for “long-context” through 2024 and most of 2025.
Model
Gemini 1.5 Flash
gemini-1.5-flash, gemini-1.5-flash-001
Flash
Legacy
May 14, 2024
First Flash-tier release. 1M context. Multimodal text+image+audio+video input. Debuted at Google I/O 2024.
  • Released May 14, 2024 at Google I/O; the announcement is at blog.google.
  • First Flash-tier Gemini — the cheaper, faster sibling pattern that has been the routine recommendation for high-volume work in every Gemini generation since.
  • 1M-token context window; multimodal text + image + audio + video input on the same surface as 1.5 Pro.
  • Project Astra was first demoed at the same I/O; covered in the prose history section below.
Model
Gemini 1.5 Pro
gemini-1.5-pro, gemini-1.5-pro-001
Pro
Legacy
Feb 15, 2024
First Mixture-of-Experts in the family. 128K standard context, 1M in private preview. Equal or better to 1.0 Ultra at substantially less compute.
  • Announced February 15, 2024; the post is at blog.google. Public preview on Vertex AI followed April 9, 2024.
  • First Mixture-of-Experts model in the Gemini family — the architecture choice that made the 1M / 2M context expansions practical.
  • 128,000-token standard context at launch with 1,000,000-token context in private preview — the first production frontier model to ship a 1M-token surface.
  • Equal or better to Gemini 1.0 Ultra on most evaluations at substantially less inference compute, by Google's accounting.
Model
Gemini 1.0 Ultra (“Gemini Advanced”)
gemini-ultra — primarily product-only
Pro
Legacy
Feb 8, 2024
The largest and most capable Gemini 1.0 tier. Launch of Gemini Advanced subscription. Bard renamed to Gemini the same day.
  • Announced December 6, 2023 alongside the rest of the Gemini 1.0 family; general availability on February 8, 2024 via the new Gemini Advanced subscription on the $19.99/month Google One AI Premium plan. The announcement is at blog.google.
  • Reported 90.0% on MMLU at launch — Google's framing was that Ultra was the “first to outperform human experts” on the benchmark.
  • 32,768-token context window; primarily exposed through the consumer Gemini Advanced surface rather than as a routine API model.
  • Gemini Advanced was rebranded to Google AI Pro at I/O 2025 alongside the higher-priced AI Ultra tier ($249.99/month). The Bard–to–Gemini rename, also February 8, 2024, is covered in the prose history below.
Model
Gemini 1.0 Pro
gemini-pro, gemini-1.0-pro
Pro
Legacy
Dec 6, 2023
First public Gemini API model. Powered Bard from day one (170 countries, English). API GA December 13, 2023.
  • Announced December 6, 2023; the announcement is at blog.google/technology/ai/google-gemini-ai. Public API GA on December 13, 2023.
  • Powered Bard from day one in 170 countries (English at launch) — the model behind Bard for the two months between the December 6 launch and the February 8 Bard–to–Gemini rename.
  • 32,768-token context window; the first Gemini SKU developers could call from the public Gemini API.
  • Superseded by the Mixture-of-Experts 1.5 line two months later; deprecated through 2024.
Model
Gemini 1.0 Nano (and successors)
gemini-nano — on-device, AICore / ML Kit GenAI APIs
Specialized
Available
Dec 6, 2023
First Gemini on-device. Pixel 8 Pro at launch (Smart Reply, Summarize). Expanded across Pixel 8 / 8a / 9 / 10 and Chrome through 2024–2025.
  • Released December 6, 2023 on the Pixel 8 Pro Feature Drop — the first phone to run a frontier-lab model on-device. The post is at blog.google/products/pixel.
  • Initial features: Smart Reply in Gboard (WhatsApp at launch) and Summarize in Recorder; on Tensor G3 silicon.
  • Developer preview to Pixel 8 in April 2024; experimental access generally available across Android via AICore + ML Kit GenAI APIs in October 2024.
  • Expanded across Pixel 9 (multimodal Nano, August 2024), Pixel 8a, and Pixel 10 (August 2025) with successive on-device feature additions; later wired into Chrome's Built-in AI Prompt API.
  • This row consolidates the full on-device Nano lineage rather than splitting per-device-feature drops; treat it as the open-ended Specialized track within the Gemini family.

The Gemini era — December 6, 2023. Above this line: the natively-multimodal Gemini family, Google's response to ChatGPT and to the Brain × DeepMind merger of April 2023. Below: the Pre-Gemini era — PaLM 2 in May 2023 as Bard's underlying model, and the original LaMDA-based Bard launched in March 2023 as Google's reactive answer to ChatGPT.

Model
PaLM 2
chat-bison, text-bison, code-bison — deprecated
Pre-Gemini
Legacy
May 10, 2023
Replaced LaMDA as Bard's underlying model. Four sizes (Gecko / Otter / Bison / Unicorn). 100+ languages. Med-PaLM 2 and Sec-PaLM specialty variants.
  • Announced May 10, 2023 at Google I/O 2023; the Bard-related framing is at blog.google.
  • Replaced LaMDA as the model underlying Bard; supported 100+ natural languages and 20+ programming languages.
  • Four internal size codenames — Gecko, Otter, Bison, Unicorn — exposed via the PaLM API as chat-bison, text-bison, code-bison, etc.
  • Foundation for the Med-PaLM 2 medical and Sec-PaLM security specialty models.
  • Deprecated entirely once Gemini 1.0 shipped in December 2023; the PaLM API was sunset alongside.
Model
Bard (LaMDA-based)
never had a public API; product-only
Pre-Gemini
Legacy
Mar 21, 2023
Google's initial ChatGPT response. LaMDA-based at launch. Renamed to Gemini on February 8, 2024.
  • Released March 21, 2023 in early access to US and UK users; the post is at blog.google/innovation-and-ai/products/try-bard.
  • LaMDA-based at launch; framed as “a complement to Search,” not a replacement.
  • Followed Google's February 2023 ChatGPT-response announcement and the widely-reported Bard demo gaffe (the “James Webb Telescope first exoplanet image” error in the launch demo video).
  • Initial rollout blocked in the EU over GDPR concerns; came online there in July 2023.
  • Renamed Gemini on February 8, 2024 alongside the Gemini Advanced subscription launch — bard.google.com began redirecting to gemini.google.com that day.

Click any row to expand. Each row has a stable id for sharing — e.g. /ai/gemini/versions/#gemini-3-1-pro, #gemini-2-5-pro, #bard. The current model list is at ai.google.dev/gemini-api/docs/models; release notes at ai.google.dev/gemini-api/docs/changelog; Vertex AI roster at cloud.google.com/vertex-ai.

The Bard launch (March 2023) and the Bard–to–Gemini rename (February 2024)

Google's reactive answer to ChatGPT was announced on February 6, 2023 and shipped to early-access US and UK users on March 21, 2023 as Bard, an experimental conversational AI service backed by LaMDA. The launch demo's well-publicized error — the model misattributed the first exoplanet image to the James Webb Space Telescope — helped frame the early-2023 narrative that Google was caught flat-footed by OpenAI's November 2022 ChatGPT release. EU access was blocked initially over GDPR concerns and came online in July 2023.

At Google I/O on May 10, 2023, Bard's underlying model swapped from LaMDA to PaLM 2. Specialty variants — Med-PaLM 2 for medical question answering, Sec-PaLM for security — followed. Duet AI for Workspace shipped at $30/user/month on August 29, 2023 as the productivity-suite analog. The PaLM API was deprecated entirely once Gemini 1.0 shipped in December 2023.

The Bard–to–Gemini rename happened on February 8, 2024, the same day Gemini 1.0 Ultra reached general availability via the new Gemini Advanced subscription on the $19.99/month Google One AI Premium plan. bard.google.com began redirecting to gemini.google.com; Duet AI for Workspace was rebranded Gemini for Workspace; a new Android Gemini app shipped that day. The post is at blog.google. Gemini Advanced was itself rebranded Google AI Pro at I/O 2025 on May 20, 2025 alongside the higher-priced Google AI Ultra tier ($249.99/month).

The rebrand pattern continued on July 16, 2026, when Google renamed NotebookLM to Gemini Notebook — folding the research tool that launched as Project Tailwind at I/O 2023 into the Gemini brand. Google's post says it “remains a standalone product focused on being your premier research tool” while doing more across the Google ecosystem, and cites more than 30 million people and over 600,000 organizations using it. Shipping alongside the rename: a secure cloud computer per notebook that lets Gemini Notebook write and execute code natively against your sources (available at launch to Google AI Ultra users and Workspace customers with AI Ultra / AI Expanded Access, rolling out to all Pro users on the web), full cross-app syncing between the Gemini app and the standalone notebook experience, and a stated plan to bring notebooks into AI Mode in Search. The announcement, by Google Labs / Gemini app VP Josh Woodward, is at blog.google.

The Brain × DeepMind merger (April 2023)

On April 20, 2023, Sundar Pichai announced the merger of Google Brain and DeepMind into a single unit, Google DeepMind, with Demis Hassabis (DeepMind cofounder, then CEO) named CEO of the combined entity. The announcement is at blog.google/technology/ai/april-ai-update; DeepMind's side is at deepmind.google/blog/announcing-google-deepmind.

Jeff Dean, previously the Google Brain lead, was named Chief Scientist of Google + Alphabet, reporting directly to Pichai. The combined unit's accomplishments cited in the announcement: AlphaGo, the original Transformer paper, word2vec, WaveNet, AlphaFold, seq2seq, deep reinforcement learning, TensorFlow, and JAX. The merger is the corporate-side throughline that explains why Gemini was framed in December 2023 as “natively multimodal trained from the ground up” — Google's first model assembled by the unified post-merger team.

Demis Hassabis and DeepMind's John Jumper were jointly awarded the 2024 Nobel Prize in Chemistry with David Baker for AlphaFold's protein-structure-prediction work. The DeepMind announcement is at deepmind.google. Hassabis led Google DeepMind as CEO until August 5, 2026, when he became Chair of Google DeepMind and Chief Scientist of Alphabet and Koray Kavukcuoglu took over day-to-day leadership of the unit as SVP; that reshuffle, and Jeff Dean's departure in the same announcement, are covered in the people section below.

The February 2024 Gemini image-generation incident

Within days of the Bard–to–Gemini rename, users posted historically inaccurate images Gemini's image generator produced — racially diverse Nazi soldiers, multi-ethnic US Founding Fathers, Black female popes — that drew sharp criticism. Google paused people-image generation in Gemini on February 22, 2024. The explainer post by then-SVP for Search Prabhakar Raghavan said directly: “we got it wrong.”

On February 28, 2024 Pichai's internal memo — reported in NPR — called the outputs “completely unacceptable” and committed to structural changes, updated guidelines, and red-teaming. People-image generation was restored on August 28, 2024 with Imagen 3, gradually rolled out starting with Gemini Advanced / Business / Enterprise; TechCrunch coverage.

The episode is recorded here factually because it bears on the Gemini-1.0 / Imagen-2 rollout window and on Google's subsequent moderation framing for image generation. This page does not litigate the underlying decisions or their handling.

The Anthropic investments

Google has been one of Anthropic's two major cloud and capital partners alongside Amazon, which remains Anthropic's primary cloud provider. The October 27, 2023 $2 billion commitment ($500M upfront, $1.5B over time) was reported in CNBC, alongside Anthropic's $3B Google Cloud commitment over four years and adoption of TPU v5e for Claude inference.

On April 24, 2026, Google announced an additional commitment of up to $40 billion in Anthropic — $10B initial, with the remaining $30B contingent on performance milestones — at Anthropic's then-latest valuation of $380 billion. Coverage in TechCrunch, CNBC, and Bloomberg, which first reported the deal.

On the compute side, Anthropic announced on April 6, 2026 a new agreement with Google and chip partner Broadcom for multiple gigawatts of next-generation TPU capacity expected to come online starting in 2027 — 5 gigawatts over five years per CNBC — which Anthropic called “our most significant compute commitment to date” in its own announcement. That post also notes that Amazon remains Anthropic's primary cloud provider and training partner; Google is a capital partner and one of three platforms Claude runs on. A widely-circulated figure putting Anthropic's Google Cloud spend at $200 billion over five years originates with The Information (May 5, 2026) and was relayed by Reuters, which noted it could not verify the report and that neither company commented; neither Google nor Anthropic has confirmed it, so it is recorded here as reported, not confirmed. The scale of the bet surfaced in Alphabet's Q2 2026 results, reported July 22, 2026: roughly $99 billion in quarterly gains on equity investments — primarily the Anthropic and SpaceX stakes, after Anthropic's May 2026 raise at a $965 billion valuation — drove a record $112.1 billion net-income quarter, per Fortune; Bloomberg reported July 23 that Alphabet's SEC filing valued its private-company investments — primarily the Anthropic stake — at roughly $124.3 billion as of June 30, 2026. The Anthropic relationship is the corporate-strategy counterweight to the in-house Gemini line.

Project Astra, Gemini Live, and Project Mariner

Project Astra — the “universal AI agent” prototype with the smart-glasses demo — was first unveiled at Google I/O on May 14, 2024 as a research preview. The DeepMind page is at deepmind.google/models/project-astra. Astra's multimodal real-time understanding capabilities folded into Gemini Live (consumer) and into Search's AI Mode (May 2025).

Gemini Live, the conversational voice surface (10 voices, interruptible, runs in background), launched alongside the Pixel 9 series on August 13, 2024, initially as a Gemini Advanced subscriber feature. Camera and screen-sharing capabilities followed in 2025 as Astra's surface migrated into the Gemini app. On August 26, 2026 Google gave Live its own agentic upgrade: it now hands multi-step, long-running jobs off to Gemini Spark (which works across Docs, Sheets, Drive, and the web and keeps running across days or weeks), reads out a spoken Daily Brief assembled from Gmail and Calendar, and searches, summarizes, stars, archives, or deletes mail hands-free. Google says 63% of Gemini users talk to it out loud; the post is at blog.google. On September 15, 2026 the surface got a new engine: Gemini Live in the app now runs on Gemini 3.8 Live Extended Thinking, which reasons in the background while it keeps speaking, and the same release put Gemini 3.8 Live behind Search Live and Extended Thinking behind Workspace's Docs, Gmail, and Keep Live surfaces — see the Gemini 3.8 Live row above. On October 1, 2026 Live gained Guided Vision on compatible Android devices: with the camera shared, it describes the surroundings, answers follow-ups, and speaks reframing cues (“pan slowly to the right”) — built with the blind and low-vision community and trained with Aira's visual interpreters, per the post by Isha Sheth and Scott Adams at blog.google.

Project Mariner — the Gemini 2.0–powered research-prototype Chrome extension that controls the browser (cursor, clicks, forms) — was announced December 11, 2024 alongside the Gemini 2.0 Flash Experimental release. Single-tab and foreground-only at launch; 83.5% on the WebVoyager benchmark. Mariner's computer-use capability was folded into Gemini 2.5 Flash by I/O 2025 and into the Antigravity agent platform that launched alongside Gemini 3 Pro. Antigravity has since grown a multi-agent framework in which autonomous teams of agents critique and iterate on one problem over hours or days; on August 31, 2026 Google reported running it on Gemini 3.7 Flash to close seven open problems in math and theoretical computer science — among them Knuth's Cycles Conjecture, with a 40-plus-page proof machine-verified in Lean — alongside 71% on TCSBench, a cycle-accurate out-of-order RISC-V simulator that boots xv6, and accepted upstream optimizations to Eigen and ParlayHash. All figures vendor-stated; the post is at blog.google. The same agentic-loop pattern reached video on September 1, 2026, when Google shipped agentic video understanding for Gemini 3.7 Flash, 3.6 Flash, and 3.5 Flash-Lite: instead of ingesting a video at a fixed frame rate (1 FPS by default), the model decides what to watch, at what speed, and through which modality — frames, audio, or transcript — calling an internal tool to load only the segments it needs. Vendor-stated gains across standard video benchmarks are up to 88% fewer tokens, 66% lower cost, and 7% better accuracy, concentrated on long-form video; it is enabled by setting the API configuration to “agentic” in Google AI Studio or the Gemini Enterprise Agent Platform. The announcement, by Rohan Doshi (Senior Product Manager) and Mario Lučić (Research Director), both of Google DeepMind, is at blog.google. The managed agent itself was re-cut on September 17, 2026: antigravity-preview-09-2026 replaced and deprecated antigravity-preview-05-2026, which shut down October 5, 2026. Remote-sandbox callers reading only output_text or model_output need nothing but the new agent string, but anyone running tools locally or parsing function_call steps faces a rewritten built-in toolset — PascalCase parameters instead of snake_case, line-range replacements (replace_file_content) instead of full-file rewrites, and new find_by_name / grep_search tools where agents previously shelled out; shell execution and Google Search are unchanged. The change is recorded under the September 17, 2026 heading of the Gemini API changelog. Since October 13, 2026 the agent can also run on Gemini 4 Argon (set model in agent_config), and the same day Google put Antigravity's agentic coding interface directly into the Gemini macOS app and added a chat-to-tasks toggle in the main chat window, per the Gemini app post; Google says Argon in Antigravity raised its own engineers' agentic code submissions by more than 35% while cutting rollbacks by nearly a third (vendor-stated).

At Google I/O 2026 on May 19, 2026, Google launched Gemini Spark — a 24/7 personal AI agent that runs on Gemini 3.5 Flash via the Antigravity platform. Spark operates in the background and is designed to take actions on the user's behalf (scheduling, web tasks, custom sub-agents, authorized payments) while surfacing confirmations before major actions; the announcement is at blog.google. The initial rollout was to trusted testers and Google AI Ultra subscribers in the US at the end of May 2026; Spark began rolling out to Google AI Pro subscribers in the US on July 23, 2026, with other countries to follow, per 9to5Google. On the July 22, 2026 Alphabet Q2 earnings call, Sundar Pichai described Spark as “now available in the U.S. and internationally” (transcript). On July 30, 2026 Google widened both the surface and the geography: Spark gained a Chrome auto-browse integration that, with permission, uses the visitor's logged-in accounts and saved passwords to run web errands end to end — handing sensitive steps such as payments back to the user and screening for prompt injection — and AI Pro access opened in 160+ additional countries; the Chrome capability is US-only at launch, per blog.google. On September 9, 2026 Google added a Google Photos connection next to the Chrome one — Spark can now edit photos and curate albums on request — still scoped to Google AI Pro and Ultra subscribers in the US, per the fall plan-update post at blog.google. On September 30, 2026 the reusable-instruction mechanism Spark already used, skills, rolled out into Gemini chat globally (invoked with a leading slash, stackable, and now able to carry reference files), with Google saying skills will replace Gems in the coming weeks, per blog.google. Gemini Spark is the consumer-facing instantiation of the agentic direction that Astra and Mariner prototyped in 2024–2025.

The agentic pattern reached physical robots on July 30, 2026 with Gemini Robotics ER 2, Google DeepMind's embodied-reasoning model — framed in the announcement as “a high-level brain for robots” that talks to humans, plans multi-step tasks, natively calls tools such as Google Search, and hands motor execution off to a lower-level vision-language-action (VLA) model. It is built on Gemini 3.5 Flash and ships as two preview endpoints, gemini-robotics-er-2-preview and the Live-API streaming variant gemini-robotics-er-2-streaming-preview, publicly available to developers through the Gemini API and Google AI Studio and in private preview on the Gemini Enterprise Agent Platform. The headline gains over Gemini Robotics ER 1.6 (April 14, 2026) are continuous-video progress tracking — 57.4% on progress classification, 91.3% accuracy and 0.96s mean absolute distance on moment-finding, all vendor-stated — and multi-robot collaboration, demonstrated with Boston Dynamics' Spot and with Apptronik's Apollo 2 working alongside a Franka F3 Duo. gemini-robotics-er-1.6-preview shut down on August 31, 2026 per the deprecations page, leaving the two ER 2 endpoints as the only served embodied-reasoning ids — though the summary models page has not caught up: at its October 13, 2026 stamp it still lists ER 1.6 as a served specialized-task model, six weeks after the shutdown date the deprecations page gives — so this is a stale roster entry rather than a rebuild lag. The announcement is at blog.google, the model card on the DeepMind site, and the developer guide at ai.google.dev. ER 2 was one of three robotics models announced that day: Gemini Robotics 2, the vision-language-action model that converts vision and language input into motor control and is the first in the line to drive a full humanoid “from feet to fingertips” as well as bi-arm robots; Gemini Robotics On-Device 2, the efficiency-optimized VLA that runs locally on robot hardware and adapts to an entirely new robot embodiment in a few hours of data; and ER 2 itself, the reasoning layer that sits above them. Only ER 2 is publicly available — both VLA models are limited to early-access partners — per the DeepMind post at deepmind.google. Robotics models are deliberately not enumerated as rows in the version table above — same convention as the embedding and other specialty lines.

Imagen and Veo

The image and video lines under the Gemini umbrella ship on a parallel cadence to the chat models. Imagen 1 (May 2022) was a Google Brain research model; Imagen 2 (December 2023) powered Bard's image generation and was the model behind the February 2024 incident; Imagen 3 (announced May 14, 2024 at I/O; ImageFX rollout August 15, 2024; people-image return August 28, 2024) introduced the photorealistic-rendering jump. Imagen 4 shipped at I/O 2025 (May 20, 2025) in Standard, Fast, and Ultra variants with major text-rendering improvements and up to 2K resolution; Workspace Docs / Slides / Vids integration followed. The Imagen 4 line is now deprecated — imagen-4.0-generate-001, -fast-generate-001, and -ultra-generate-001 shut down August 17, 2026, announced in the June 15, 2026 Gemini API changelog entry; the deprecations page now names gemini-nano-banana-2.1 as the recommended replacement for all three.

Nano Banana Pro (November 20, 2025; preview id gemini-3-pro-image-preview, stable GA id gemini-3-pro-image released May 28, 2026) followed Gemini 2.5 Flash Image as a professional design engine with a reasoning core — studio-quality 4K visuals, complex layouts, and precise text rendering, framed as the high-end successor to the original Nano Banana model. Nano Banana 2 (February 26, 2026; preview id gemini-3.1-flash-image-preview, stable GA id gemini-3.1-flash-image released May 28, 2026) shipped as the speed-and-volume sibling on the 3.1 base — high-efficiency production-scale visual creation, optimized for the rapid-iteration use cases the original Nano Banana shape was named for. Both preview ids are deprecated and shut down June 25, 2026 per the Gemini API deprecations page; the stable ids are documented at ai.google.dev/gemini-api/docs/image-generation. Nano Banana 2 Lite (gemini-3.1-flash-lite-image, stable GA released June 30, 2026) followed as the efficiency specialist of the family — ultra-low latency (text-to-image in ~4 seconds), $0.034 per 1K-resolution image, and 1K output only — and is now Google’s recommended replacement for the original Nano Banana (gemini-2.5-flash-image) on high-volume, cost-sensitive pipelines; the announcement is at blog.google. Nano Banana 2.1 (gemini-nano-banana-2.1, stable GA October 6, 2026) is the first image id to drop the Gemini-version prefix from its string. Google describes it as an update to Nano Banana 2 at Flash-level speed and cost, with better visual quality, prompt adherence, multi-turn character consistency, and text rendering; fixed tiling artifacts on the 1:4, 4:1, 1:8, and 8:1 panoramic aspect ratios at 2K and 4K; fusion of up to 14 reference images; Google Web and Image Search grounding; and configurable thinking (minimal / medium / high). Priced at $30 per million image output tokens — about $0.0336 per 1K image, $0.0504 per 2K, $0.113 per 4K — per the pricing page. It landed quietly: the entry under the October 6, 2026 heading of the Gemini API changelog, the model page, and a generally-available listing on the Vertex AI roster, with no launch post on blog.google. The same changelog entry deprecates gemini-3.1-flash-image (Nano Banana 2) with no shutdown date and points it at 2.1; the deprecations table now also names 2.1, rather than Nano Banana 2, as the replacement for the retired Imagen 4 ids and the old image previews. The Nano Banana shape now runs from the 2.5 Flash Image table row above through Pro, 2, 2 Lite, and 2.1 in this prose section — the original codename, the professional tier, the balanced workhorse, the speed/cost tier, and the workhorse's refresh.

Veo 1 debuted as a Vertex research preview at I/O 2024. Veo 2 (December 16, 2024) brought 4K resolution and clips up to two minutes. Veo 3 at I/O 2025 was the first Veo with native synchronized audio — dialogue, sound effects, and ambient sound generated in the same pass — available initially through the AI Ultra tier and via the Google Flow filmmaking surface. Veo 3.1 Lite Preview (veo-3.1-lite-generate-preview, March 31, 2026) is the cost-efficient, developer-first addition to the Veo 3.1 family for rapid iteration and high-volume applications, per the Gemini API changelog. The whole Veo 3.1 preview trio on the Gemini API — veo-3.1-generate-preview, veo-3.1-fast-generate-preview, and veo-3.1-lite-generate-preview — now carries an October 22, 2026 shutdown date on the deprecations page, with gemini-omni-1.1-flash as the recommended replacement — which, if it holds, leaves the Gemini API with no Veo id at all and Omni as the only video line there. The earlier veo-2.0-generate-001, veo-3.0-generate-001, and veo-3.0-fast-generate-001 ids shut down June 30, 2026 (June 15, 2026 changelog entry); the Veo 3.1 preview ids and the GA models on the Gemini Enterprise Agent Platform are the recommended replacements.

At Google I/O 2026 on May 19, 2026, Google introduced Gemini Omni Flash, a multimodal “any-input, any-output” video generation and editing model that accepts text, image, video, and audio inputs and generates high-quality video output. The I/O announcement is at blog.google. Omni Flash is designed for creative workflows — scene transformation, action reimagining, multi-turn conversational video refinement, and avatar-based video creation — and is built on Gemini’s world knowledge for physically plausible scene generation. On June 30, 2026, Google brought Omni Flash to developers for the first time as gemini-omni-flash-preview (public preview) via the Gemini API, Google AI Studio, and the Gemini Enterprise Agent Platform, alongside the Gemini app and Google Flow; it is priced at $0.10 per second of video output (matching Veo 3.1 Fast) and generates 10-second clips at launch, with SynthID watermarking on all output. The joint developer-availability post is at blog.google; the developer docs are at ai.google.dev/gemini-api/docs/omni. Image and video models are deliberately not enumerated as separate rows in the version table above (Gemini 2.5 Flash Image is the one row exception); if either line grows substantially, a dedicated /ai/gemini/image-models/ sibling page is in scope.

Omni Flash reached general availability on August 27, 2026 as gemini-omni-1.1-flash, announced by Google DeepMind product managers Anish Nangia and Alisa Fortin at blog.google, with the GA entry under the August 27, 2026 heading of the Gemini API changelog. The 1.1 release is about control rather than a new base model: scene extension in 10-second increments to a cumulative 40 seconds, reading up to 10 seconds of prior context where earlier models referenced only the final second; first-and-last-frame interpolation for generating the footage between two keyframes; a resolution parameter covering 360p, 720p (default), 1080p, and 4K, with the two top rungs produced by upscaling; and video references of up to three seconds in the multimodal input for character consistency. The 360p tier is the draft mode — Google states up to 60% faster generation and a third of the 720p cost. Billing moved to tokens: $1.50 per million input tokens and $17.50 per million video output tokens, which at 5,792 tokens per second of 720p video works out to roughly the same $0.10 per second the preview charged, per the pricing page. Google names Adobe (Firefly), Figma Weave, Runway, and GMI Cloud as production users. The preview id gemini-omni-flash-preview is deprecated; its shutdown, originally set for September 30, 2026, was pushed to October 22, 2026 on the deprecations page, the same day as the Veo 3.1 previews. Note the split availability: the Gemini API lists gemini-omni-1.1-flash as Stable GA while the Vertex AI roster still files both Omni ids under Preview at its October 15, 2026 stamp.

People who shaped Gemini

Sundar Pichai — CEO of Google since 2015, CEO of Alphabet since December 2019. The 2023 ChatGPT-response framing, the Brain × DeepMind merger, the December 2023 Gemini 1.0 launch, the February 2024 image-generation memo, and the strategy around the DOJ search remedies all run through Pichai's office.

Demis Hassabis — CEO of Google DeepMind from the April 2023 merger until August 5, 2026, and Chair of Google DeepMind and Chief Scientist of Alphabet since. DeepMind cofounder. 2024 Nobel laureate in Chemistry (jointly with then-DeepMind colleague John Jumper and David Baker) for AlphaFold. The technical-leadership face of the post-merger Gemini program.

Google restructured its AI leadership on August 5, 2026. In a joint note to Google DeepMind staff published at blog.google, Pichai wrote that Hassabis would hand over his day-to-day operational responsibilities to become Chair of Google DeepMind and Chief Scientist of Alphabet while continuing to lead Isomorphic Labs, and that Koray Kavukcuoglu — Google DeepMind's Chief Technology Officer and Google's Chief AI Architect, at DeepMind for 13 years and a lead on WaveNet and DQN — would step up as SVP of Google DeepMind, reporting directly to Pichai, overseeing Gemini model development, Frontier AI research, and the Gemini app and developer teams. The same note announced that Jeff Dean is leaving Google after 27 years, together with Google Senior Fellow Sanjay Ghemawat, to launch an independent public benefit corporation aimed at accelerating discoveries in machine learning, science, and engineering; Pichai said Google will continue with them “as a founding investor and Cloud partner.” Dean named the company Discovery Loop in a follow-up post on X, per CNBC.

Google's note named two of the four Discovery Loop founders. Dean's own announcement the same day, and the company's site, add Oriol Vinyals — VP of research at Google DeepMind, AlphaStar co-lead, and a Gemini co-technical lead — and Quoc V. Le, a Google Brain cofounder whose work centered on automating model design. Both posted their own farewells to Google DeepMind on August 5, 2026; Vinyals wrote that Dean, who had recruited him to Google 13 years earlier, was “challenging me to take the next leap.” That detail matters to this page because Dean and Vinyals were the two people publicly identified as Gemini's co-technical leads, and both left on the day Kavukcuoglu was given the next flagship. The company is a public benefit corporation aimed at automating the research loop — starting with machine-learning research itself — and its seed round was co-led by Radical Ventures and Khosla Ventures, with Lightspeed, Kleiner Perkins, Doerr Capital, and Alphabet participating; Radical's Jordan Jacobs took a board seat and Google supplies the first year of compute. Reporting: The New York Times, Steven Levy's founder interviews in Wired, and TNW, which first flagged the gap between Google's two-name memo and the startup's four-name masthead. No party has disclosed the round size or valuation. This page records the departures; it does not handicap what they mean for the lab.

Two senior departures landed in June 2026. Noam Shazeer — VP of engineering and a co-lead of the Gemini models, co-author of the 2017 “Attention Is All You Need” paper that introduced the Transformer, and cofounder of Character.AI — announced on June 17, 2026 that he was leaving for OpenAI, less than two years after Google brought him back in the reported $2.7B Character.AI licensing deal of August 2024; CNBC covered the move. Days later, John Jumper — the AlphaFold lead who shared the 2024 Nobel with Hassabis — announced he was leaving Google DeepMind for Anthropic, per Fortune (June 23, 2026). Neither has publicly stated a reason. Recorded here because both sat at the technical center of the Gemini and AlphaFold programs; this page does not handicap what the departures mean for the lab.

Jeff Dean — Chief Scientist, Google + Alphabet from the April 2023 merger until his August 2026 departure, reporting directly to Pichai. Previously co-led Google Brain. Sissie Hsiao led the Bard product through the rename. Eli Collins (VP, Google DeepMind product) co-launched Bard alongside Hsiao. Prabhakar Raghavan (then SVP, Search) authored the February 2024 image-generation explainer; he transitioned out of Search leadership in October 2024.

Current leadership beyond Pichai / Hassabis / Kavukcuoglu shifts more frequently and should be re-verified at each refresh run; the Musk v. Altman–style governance episode that has played out at OpenAI does not have a Google analog.

The competitive landscape

Gemini competes most directly with OpenAI's ChatGPT (the line that Bard was Google's reactive response to in 2023; see ChatGPT Versions), Anthropic's Claude (Google's primary capital and cloud partner alongside Amazon; see Claude Versions), xAI's Grok (see Grok Versions), and Meta's Llama. Gemini's distinguishing positioning has been the integration into Search, Workspace, Pixel devices, and Chrome alongside the standalone Gemini app, and the on-device Nano line that no other major frontier lab has matched at scale. This page does not attempt a benchmark roundup or a ranking.

Use Gemini

The browser cannot detect which Gemini model you've used or are using — there's no fingerprint or header that exposes it. The block below carries the practical information instead: the current model strings, a copy-paste API call, and the surfaces where Gemini is available.

Current model strings

Use these in the model field of an API request. Verify against ai.google.dev/gemini-api/docs/models for the freshest list.

# Flagship — Gemini 4 Argon, Stable GA (Oct 13, 2026); paid tier only; $2 / $10 per 1M through Nov 30, 2026
gemini-4-argon

# Latest Flash — Stable GA workhorse (Sep 2, 2026); $0.75 / $3.75 per 1M through Dec 31, 2026
gemini-3.8-flash

# Prior Flash workhorse — Stable GA (Jul 21, 2026); repriced to match 3.8 Flash
gemini-3.6-flash

# Deprecated Flash ids (Oct 8, 2026) — endpoints stay up but route elsewhere; update your model string
gemini-3.7-flash                     # routes to gemini-3.8-flash
gemini-3.5-flash                     # routes to gemini-3.6-flash

# Prior Pro flagship (preview) — superseded by gemini-4-argon; still served, no shutdown date
gemini-3.1-pro-preview

# Cost-efficient Lite — Stable GA (Jul 21, 2026); fastest 3.5-family model
gemini-3.5-flash-lite

# Prior Lite — Stable GA (May 7, 2026); still served
gemini-3.1-flash-lite

# Flash 3 (preview) — still served; recommended replacement is gemini-3.6-flash
gemini-3-flash-preview

# Specialized 3.8 audio — Live API audio-to-audio (GA Sep 15, 2026); built on Gemini 3 Pro
gemini-3.8-live                      # default low-latency voice agent; 97 languages, no thinking_level
gemini-3.8-live-extended-thinking    # background reasoning while streaming speech; async tool calls

# Specialized 3.5 audio — speech-to-speech translation (70+ languages)
gemini-3.5-live-translate-preview

# Specialized 3.8 audio — text-to-speech (GA Sep 22, 2026); text in, audio out, 8K input cap
gemini-3.8-flash-tts                 # creative tier; 130 languages, voice design + replication
gemini-3.8-flash-lite-tts            # high-throughput tier; 101 languages, same schema

# Specialized 3.1 audio — legacy TTS and A2A previews (both shut down Nov 17, 2026)
gemini-3.1-flash-tts-preview         # legacy; replacement is gemini-3.8-flash-tts / -lite-tts
gemini-3.1-flash-live-preview        # legacy; replacement is gemini-3.8-live (breaking changes)

# Specialized 3.5 audio — speech-to-text (GA Aug 26, 2026)
gemini-3.5-transcribe                # pre-recorded audio; diarization + word timestamps
gemini-3.5-transcribe-live           # streaming transcription over the Live API

# Specialized image — Nano Banana lineage (image generation / editing)
gemini-nano-banana-2.1              # Nano Banana 2.1 (stable GA Oct 6, 2026); recommended workhorse
gemini-3-pro-image                  # Nano Banana Pro (stable GA May 28, 2026; preview shut down Jun 25)
gemini-3.1-flash-image              # Nano Banana 2 (deprecated Oct 6, 2026, no shutdown date; migrate to 2.1)
gemini-3.1-flash-lite-image         # Nano Banana 2 Lite (stable GA Jun 30, 2026; fastest / cheapest)
gemini-2.5-flash-image              # original Nano Banana (legacy; shuts down Mar 15, 2027; upgrade to 2 Lite)

# Specialized video — Omni Flash (video gen + conversational editing)
gemini-omni-1.1-flash               # stable GA (Aug 27, 2026); extend / interpolate / 4K; replaces the Veo 3.1 previews
gemini-omni-flash-preview           # deprecated preview; shuts down Oct 22, 2026

# Specialized embodied reasoning — Gemini Robotics ER (built on 3.5 Flash)
gemini-robotics-er-2-preview            # ER 2 (Jul 30, 2026); replaces gemini-robotics-er-1.6-preview
gemini-robotics-er-2-streaming-preview  # ER 2 via the Live API, for low-latency robot agents

# 2.5 family — stable GA, but access-limited since Sep 18, 2026 to prior users
gemini-2.5-pro
gemini-2.5-flash
gemini-2.5-flash-lite

# On-device
gemini-nano   # on-device via AICore / ML Kit GenAI APIs

Quick API call

Drop in your GEMINI_API_KEY and run. The generateContent endpoint is the canonical entry point.

$ curl "https://generativelanguage.googleapis.com/v1beta/models/gemini-3.8-flash:generateContent" \
    -H "x-goog-api-key: $GEMINI_API_KEY" \
    -H "Content-Type: application/json" \
    -d '{
      "contents": [{
        "parts": [{ "text": "Hello, Gemini." }]
      }]
    }'

Where to access Gemini

Multiple surfaces, same models underneath. Pick whichever fits the task.

# Standalone consumer app — free + Google AI Pro / Ultra
https://gemini.google.com/

# Developer surfaces
https://ai.google.dev/                         # Gemini API + AI Studio
https://aistudio.google.com/
https://cloud.google.com/vertex-ai/             # Vertex AI (enterprise)

# Built-in surfaces
Search (AI Mode + AI Overviews)
Workspace (Gmail, Docs, Sheets, Slides, Meet)   # formerly Duet AI
Pixel + Android (on-device Gemini Nano)
Chrome (Built-in AI Prompt API powered by Nano)
Gemini Notebook (research tool)                 # renamed from NotebookLM Jul 16, 2026

# Native apps
Gemini for iOS, Android
Gemini for macOS, Windows                       # desktop app; Windows shipped Sep 10, 2026 (Alt + Space)
https://gemini.google/desktop

Model lifecycle

Google publishes a changelog alongside each new model id; preview ids are eventually replaced with stable equivalents. Pin a dated id only when you need bit-for-bit reproducibility; otherwise prefer the un-dated alias so you migrate forward automatically.

# Changelog and lifecycle
https://ai.google.dev/gemini-api/docs/changelog

# Stable id — served until Google announces a shutdown date (or, as with gemini-3.7-flash, quietly re-routes it)
"model": "gemini-4-argon"

# Dated preview id — frozen cut, and the first thing to be retired
# e.g. gemini-2.5-pro-preview-06-05, shut down December 2, 2025
"model": "gemini-2.5-computer-use-preview-10-2025"

Sources: Gemini API model docs; Gemini API changelog; Vertex AI model docs; per-release announcement posts at blog.google and developers.googleblog.com; US v. Google (D.D.C. 1:20-cv-03010) and the ad-tech case (E.D. Va. 1:23-cv-00108) on CourtListener; contemporaneous reporting in NYT, WSJ, Bloomberg, The Information, CNBC, NPR, NBC News, TechCrunch, and 9to5Google. Last updated October 19, 2026.

Mungomash LLC · More AI pages