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Gemini 3.1 Pro Preview

Google · released 2026-02-19 · 2 offers

Output 132 tokens/sFirst token 12 sContext 1M tokens

Top 1 cheapest providers (Adjusted $/task)

Within the active global provider, residency and confidentiality filters.

#ProviderAdjusted $/task
1Googlevia OpenRouter — Price via OpenRouter: OpenRouter's price for Google's endpoint (https://openrouter.ai/google/gemini-3.1-pro-preview/providers), collected 2026-11-03.

Composite

4 of 7 inputs · 2 from the model family6 radar axes: DesignArena's two boards share one

38.1

includes −6.2 for its Benchmaxxing signal (from 44.2; why, switch off in Options)

Benchmaxxing signal +6.2, medium Benchmaxxing tag, uncertain: The 80 % interval reaches below zero — treat this tag as uncertain · medium report →The 80 % interval reaches below zero — treat this tag as uncertain.

AA Coding v4.xCoding Agent v1.4AA Intelligence (est.)AA AgenticEpoch ECISoftware ECIDesignArenaAA Coding v4.x: percentile 78AA Intelligence (est.): percentile 80AA Agentic: percentile 45DesignArena: percentile 23

AA Coding v4.x 68.8Coding Agent v1.4 —AA Intelligence (est.) 18.0AA Agentic 10.3Epoch ECI —Software ECI —DesignArena 1112/1068

Radar: percentile among all models measured on each input; a gap means not measured.

Benchmark sheet

45 of 319 registered benchmark versions · bars show the percentile among all models measured on each benchmark.

Composite attachments (used in the score, not counted as exact benchmarks):
  • DesignArena Web Apps (agentic) · attached
  • DesignArena Full-Stack · attached
Compare this model →

Agentic

  • AA-AnalystAgent6341.3%

    AA-AnalystAgent published 2026-09-10 → · Published board — Tests analyst tasks using agentic Python execution across fourteen domains.

  • APEX-Agents-AA7232.0%

    APEX-Agents-AA published 2026-09-10 → · Published board — Tests professional-service tasks that require agents to produce locally graded deliverables.

  • AA-Briefcase20459 Elo

    AA-Briefcase published 2026-09-10 → · Published board — Tests multi-week professional knowledge-work projects with linked tasks and large source collections.

  • GDPval-AA v243904 Elo

    GDPval-AA v2 v2 → · Published board — Tests professional knowledge-work deliverables across occupations using AA's Stirrup harness.

  • Harvey LAB-AA958.9%

    Harvey LAB-AA published 2026-09-10 → · Published board — Tests legal-work deliverables across practice areas on Harvey's private task set. Artificial Analysis' run, graded by one LLM judge against task rubrics — not the same run or scale as Vals AI's HLAB row.

  • ITBench-AA3830.3%

    ITBench-AA published 2026-09-10 → · Published board — Tests root-cause diagnosis from offline Kubernetes incident snapshots.

  • Terminal-Bench Hard (AA)9753.8%

    Terminal-Bench Hard (AA) pinned revision 74221fb → · Published board — Tests a pinned 44-task hard subset of terminal-based work using Terminus 2.

  • Terminal-Bench v2.1 (AA)7273.8%

    Terminal-Bench v2.1 (AA) v2.1 → · Published board — Tests terminal-based work on the 89-task verified refresh using Terminus 2.

  • Terminal-Bench v4.0 (AA)604.0%

    Terminal-Bench v4.0 (AA) v4.0 → · Published board — Tests terminal-based work on the 66-task release using mini-SWE-agent v2.4.6.

  • EBR-bench (Earthborne Rangers, Epoch AI)2714.3%

    EBR-bench (Earthborne Rangers, Epoch AI) published 2026-09-18 → · Published board — Learning-capability test: models repeatedly play the obscure campaign board game Earthborne Rangers with note-taking, and the score measures whether results improve across playthroughs.

  • τ²-Bench Airline (OpenRouter run)7575.3%

    τ²-Bench Airline (OpenRouter run) published 2026-09-15 → · Published board — Multi-turn service agents making tool calls under strict policy constraints. (OpenRouter's own reproducible run, as published on openrouter.ai/benchmarks.)

  • AA Agentic Index4510.3

    AA Agentic Index published 2026-09-18 → · Published board — Artificial Analysis publishes one Agentic Index per model, measured on its primary configuration and relayed by OpenRouter's Benchmarks API; the value is attached at family scope on the deterministic representative. Artificial Analysis publishes this board without a version number; we keep the date each result was retained.

Coding

  • SciCode (AA subproblems) v1.0.19358.7%

    SciCode (AA subproblems) v1.0.1 → · Published board — Tests scientific Python programming with scientist-annotated background information.

  • React Native Evals 91-evals10084.3%

    React Native Evals 91-evals → · Published board — Coding agents build React Native app features — navigation, animation, async state, lists, native APIs and Skia graphics — and an LLM judge checks the generated code against each task's written requirements.

  • AA Coding Index v4.x · frozen 2026-10-277868.8

    AA Coding Index v4.x · frozen 2026-10-27 → · Published board — Artificial Analysis withdrew the Coding Index with Intelligence Index v5.0 (2026-10-28). These are the last v4.x values, frozen with their own date (2026-10-27).

  • DesignArena Web Apps (agentic)241,112 Elo

    DesignArena Web Apps (agentic) published 2026-11-03 → · Published board — Published Elo. Exact source attachment is retained; fewer than 200 battles excludes a row from radar normalization and anomaly peers.

  • DesignArena Full-Stack251,068 Elo

    DesignArena Full-Stack published 2026-11-03 → · Published board — Published Elo. Exact source attachment is retained; fewer than 200 battles excludes a row from radar normalization and anomaly peers.

Efficiency

Instruction-following

Knowledge

Long-context

  • GDP.pdf (AA)7217.8%

    GDP.pdf (AA) published 2026-09-10 → · Published board — Tests professional reasoning over long PDFs with AA document preparation and grading.

  • AA-LCR v1.19382.0%

    AA-LCR v1.1 v1.1 → · Published board — Tests reasoning across multiple long documents with corrected answer keys and grading.

  • MLCR-AA5715.6%

    MLCR-AA published 2026-09-10 → · Published board — Tests medical-record synthesis and reasoning across long, fragmented case documents.

Math

  • FrontierMath Tier 4 v2 (Epoch AI)2526.8%

    FrontierMath Tier 4 v2 (Epoch AI) v2 → · Published board — The hardest, research-level tier of Epoch AI's unpublished FrontierMath problems, run by Epoch AI on its private v2 set.

  • FrontierMath Tiers 1–3 v2 (Epoch AI)3459.6%

    FrontierMath Tiers 1–3 v2 (Epoch AI) v2 → · Published board — Unpublished, expert-written mathematics problems from undergraduate to research level with automatically checkable answers, run by Epoch AI on its private v2 set.

  • ArXivMath 06/2026 (MathArena)2566.7%

    ArXivMath 06/2026 (MathArena) 2026-06 → · Published board — Research-level math problems with a checkable final answer, drawn from arXiv papers submitted in June 2026; each edition is restricted to papers published within the last month to reduce training-data contamination.

  • BrokenArXiv 06/2026 (MathArena)1317.6%

    BrokenArXiv 06/2026 (MathArena) 2026-06 → · Published board — Plausible but false proof statements taken from June 2026 arXiv papers; a model scores by refusing to prove them and saying the statement is false as written.

  • HMMT February 2026 (MathArena) 2026-025094.7%

    HMMT February 2026 (MathArena) 2026-02 → · Published board — The 33 final-answer problems of the February 2026 Harvard-MIT Mathematics Tournament, one of the largest high-school math competitions in the United States, run by MathArena on the contest problems.

  • Apex 2025 (MathArena)8060.9%

    Apex 2025 (MathArena) v2025 → · Published board — Twelve final-answer problems from 2025 competitions that MathArena selected because strong models of the time failed them; the selection is biased against the four models used to choose it (Grok 4, GPT-5, Gemini 2.5 Pro, GLM 4.5).

  • Apex Shortlist 2025 (MathArena)9292.0%

    Apex Shortlist 2025 (MathArena) v2025 → · Published board — 47 final-answer problems from 2025 competitions on which at least one of two reference models (Grok 4 Fast, GPT-5 mini) got at least one of four attempts wrong, run by MathArena.

  • AIME 2026 (MathArena)5098.3%

    AIME 2026 (MathArena) v2026 → · Published board — The 30 integer-answer problems of the 2026 American Invitational Mathematics Examination (AIME I and II), the qualifying exam for the USA Mathematical Olympiad, run by MathArena on the contest problems.

  • USAMO 2026 (MathArena)3374.4%

    USAMO 2026 (MathArena) v2026 → · Published board — The six proof problems of the 2026 USA Mathematical Olympiad, the final round of the American Mathematics Competitions, with each model's proofs graded by MathArena's LLM judges.

Reasoning

  • Chess Puzzles (Epoch AI)9655.0%

    Chess Puzzles (Epoch AI) published 2026-09-18 → · Published board — Best-move selection on 100 novel chess positions generated programmatically by Epoch AI, each with a single Stockfish-verified best move; probes spatial reasoning and planning.

  • SimpleBench9479.6%

    SimpleBench published 2026-09-10 → · Published board — A multiple-choice text benchmark of over 200 questions covering spatio-temporal reasoning, social intelligence, and linguistic adversarial robustness, on which a non-specialized human baseline outperforms every tested LLM.

  • SimpleBench9479.6%

    SimpleBench published 2026-09-26 → · Published board — A multiple-choice text benchmark of over 200 questions covering spatio-temporal reasoning, social intelligence, and linguistic adversarial robustness, on which a non-specialized human baseline outperforms every tested LLM.

Science

Tool-use

  • AutomationBench-AA v1.0.65535.4%

    AutomationBench-AA v1.0.6 → · Published board — Tests multi-app SaaS workflows through REST tools on a held-out AutomationBench split.

  • EnterpriseOps-Gym-AA5542.2%

    EnterpriseOps-Gym-AA published 2026-09-10 → · Published board — Tests enterprise workflows through MCP tools against resettable application environments.

  • τ²-Bench Telecom (AA)9595.6%

    τ²-Bench Telecom (AA) published 2026-09-10 → · Published board — Tests dual-control telecom agents that coordinate tool use with a simulated user.

  • τ³-Banking (AA) v1.0.15621.4%

    τ³-Banking (AA) v1.0.1 → · Published board — Tests banking support agents that retrieve policies and change account state through tools.

Vision

Writing

  • EQ-Bench Creative Writing v3771,491 Elo

    EQ-Bench Creative Writing v3 v3 → · Published board — A LLM-judged creative writing benchmark with vocabulary and GPT-slop controls.

  • EQ-Bench Longform Creative Writing v1.118968.2

    EQ-Bench Longform Creative Writing v1.11 → · Published board — LLM-judged benchmark in which models plan and write a short story/novella over 8x 1000-word turns, scored 0-100 across 14 rubric dimensions.

  • LLM Creative Story-Writing Benchmark29-2.21

    LLM Creative Story-Writing Benchmark published 2026-09-10 → · Published board — Pairwise comparison of short stories written to the same constrained creative briefs, with LLM evaluator choices combined into a relative comparison score.

Unusual results

2 threshold-crossing signals flagged · 36 eligible benchmark families

How flags are calculated

Heuristic screen, not statistical significance: benchmark families are correlated and source uncertainty is unknown. Peer evidence needs ≥ 20 independently measured matched configurations from ≥ 10 distinct model families. A flag needs a directed population z-score of magnitude ≥ 1.5 and a gap of ≥ 1.5 from the leave-one-benchmark-family-out mean z in the same direction, over ≥ 5 other benchmark families.

  • unusually strong Humanity's Last Exam (AA text-only) published 2026-09-10
    Why
    Observed: 0.47034 fraction
    Peer mean 0.15894 · peer sd 0.14559 · n 623 · families 450
    Directed z 2.139 · baseline z 0.455 · gap 1.684 · profile n 35
    0.47034 fractionmeasuredobserved 2026-09-10artificialanalysis.ai ↗
    Evidence
    Axis: Humanity's Last Exam (AA text-only) · published 2026-09-10 · Published board
    Exact value: 0.470342910101946 fraction
    Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
    Observation id: aa:bbd93ebe-80da-4594-bb19-61e69d0331df:hle
  • unusually strong Terminal-Bench Hard (AA)
    Why
    Observed: 0.53788 fraction
    Peer mean 0.18472 · peer sd 0.16951 · n 432 · families 315
    Directed z 2.083 · baseline z 0.457 · gap 1.626 · profile n 35
    0.53788 fractionmeasuredobserved 2026-09-10artificialanalysis.ai ↗
    Evidence
    Axis: Terminal-Bench Hard (AA) · pinned revision 74221fb · Published board
    Exact value: 0.537878787878788 fraction
    Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
    Observation id: aa:bbd93ebe-80da-4594-bb19-61e69d0331df:terminalbenchHard
Missing coverage · 274 benchmark versions

No result does not mean a zero, or that the model was never tested. Collection failures and disputed versions retain their distinct status.

Token offers by platform · 1 offer (Adjusted $/task)

Click any underlined price to see how it is estimated and where each input comes from. How we calculate adjusted cost.

1 offer within the active global filters, 1 more outside them; “price n/a” means the provider serves the model but publishes no direct token price we could collect — no other channel's price is shown in its place.

OpenRouter (1)

Prices via OpenRouter — what OpenRouter charges for each provider's endpoint, not the provider's own direct price. Source: openrouter.ai/google/gemini-3.1-pro-preview/providers, collected 2026-11-03.

Googleconditional
Gemini 3.1 Pro Preview — benchmarks & cost