Updated daily at 05:00 UTC
Vision-language
Gemini 3.1 Pro
- Released
- 19 Feb 2026
- Status
- Current
- Context
- 1M
- Max output
- 65.5K
- Input per 1M tokens
- $2.00
- Output per 1M tokens
- $12.00
- Open weights
- No
- License
- proprietary
- Parameters
- —
- Knowledge cutoff
- Jan 2025
- Reasoning
- Yes
- Modalities
- text, image, video, audio, pdf → text
Category scores
Out of 100, from independent and third-party results only, by method category-2026-09-29.1.
| Category | Score | Rank | Coverage |
|---|---|---|---|
| Knowledge & reasoning | 51.4 | 14 | 4 of 4 |
| Coding & software engineering | 14.4 | 9 | 3 of 5 |
| Agentic tool use | 52.4 | 1 | 2 of 2 |
| Vision & multimodal understanding | 0.0 | Not ranked | 1 of 3 |
| Factuality & hallucination | 73.5 | 2 | 1 of 1 |
| Human preference | 52.6 | 22 | 4 of 5 |
Benchmark results
Every result we hold for this model, with who ran it and where it was published.
Knowledge & reasoning
| Benchmark | Metric | Value | Provenance | Setting | Evaluated | Source |
|---|---|---|---|---|---|---|
| Chess Puzzles | Puzzles solved | 55.0% | Independent | — | 19 Feb 2026 | Epoch AI |
| Chess Puzzles | Puzzles solved | 49.0% | Independent | high | 6 Aug 2026 | Epoch AI |
| DTBench (Decision Theory Benchmark) | Accuracy (capability questions) | 97.1% | Third party | medium | — | https://conceptualreasoning.ai/dtbench via Epoch AI |
| DTBench (Decision Theory Benchmark) | Accuracy (capability questions) | 95.5% | Third party | high | — | https://conceptualreasoning.ai/dtbench via Epoch AI |
| DTBench (Decision Theory Benchmark) | Accuracy (capability questions) | 94.9% | Third party | low | — | https://conceptualreasoning.ai/dtbench via Epoch AI |
| Earthborne Rangers (EBR-bench) | Objectives reached | 14.3% | Independent | — | 25 Jun 2026 | Epoch AI |
| LMCA (Language Model Conceptual Argumentation) | Correlation with expert ratings (Pearson r) | 0.5382 | Third party | high | — | https://conceptualreasoning.ai/lmca via Epoch AI |
| LMCA (Language Model Conceptual Argumentation) | Correlation with expert ratings (Pearson r) | 0.528 | Third party | medium | — | https://conceptualreasoning.ai/lmca via Epoch AI |
| LMCA (Language Model Conceptual Argumentation) | Correlation with expert ratings (Pearson r) | 0.5118 | Third party | low | — | https://conceptualreasoning.ai/lmca via Epoch AI |
| Mystery Game Puzzles | Puzzles solved | 34.0% | Independent | high | 27 Jul 2026 | Epoch AI |
| Mystery Game Puzzles | Puzzles solved | 32.0% | Independent | medium | 6 Aug 2026 | Epoch AI |
| Mystery Game Puzzles | Puzzles solved | 29.0% | Independent | low | 6 Aug 2026 | Epoch AI |
| SimpleBench | Score (AVG@5) | 79.6% | Third party | — | — | https://lmcouncil.ai/benchmarks via Epoch AI |
Scientific reasoning
| Benchmark | Metric | Value | Provenance | Setting | Evaluated | Source |
|---|---|---|---|---|---|---|
| GPQA Diamond | Accuracy | 94.4% | Independent | high | 6 Aug 2026 | Epoch AI |
| GPQA Diamond | Accuracy | 94.1% | Independent | — | 20 Feb 2026 | Epoch AI |
Mathematics
| Benchmark | Metric | Value | Provenance | Setting | Evaluated | Source |
|---|---|---|---|---|---|---|
| FrontierMath Tier 4 | Accuracy | 26.8% | Independent | — | 11 Jun 2026 | Epoch AI |
| FrontierMath Tier 4 (v1) | Accuracy | 16.7% | Independent | — | 19 Feb 2026 | Epoch AI |
| FrontierMath Tiers 1-3 | Accuracy | 59.6% | Independent | — | 11 Jun 2026 | Epoch AI |
| FrontierMath Tiers 1-3 (v1) | Accuracy | 36.9% | Independent | — | 19 Feb 2026 | Epoch AI |
| OTIS Mock AIME 2024-2025 | Accuracy | 95.6% | Independent | — | 20 Feb 2026 | Epoch AI |
| OTIS Mock AIME 2024-2025 | Accuracy | 95.6% | Independent | high | 6 Aug 2026 | Epoch AI |
Coding & software engineering
| Benchmark | Metric | Value | Provenance | Setting | Evaluated | Source |
|---|---|---|---|---|---|---|
| DeepSWE | Pass@1 | 11.7% | Third party | — | — | https://deepswe.datacurve.ai/ via Epoch AI |
| ExploitBench | Mean capability | 26.1% | Source not stated | — | — | Epoch AI via Epoch AI |
| ExploitBench | Mean capability | 15.7% | Source not stated | — | — | Epoch AI via Epoch AI |
| GSO | OPT@1 | 22.6% | Third party | — | — | https://gso-bench.github.io/index.html via Epoch AI |
| METR Time Horizons | Average task success (Epoch's column) | 77.0% | Third party | — | — | https://metr.org/blog/2025-03-19-measuring-ai-ability-to-complete-long-tasks/ via Epoch AI |
| MirrorCode | Score | 8.9% | Independent | high | 10 Aug 2026 | Epoch AI |
| PostTrainBench | Average score | 22.0% | Source not stated | — | — | Epoch AI via Epoch AI |
| SWE-bench Verified | % resolved | 75.6% | Independent | — | 24 Feb 2026 | Epoch AI |
| Terminal-Bench 2.0 | Accuracy (mean over trials) | 80.2% | Third party | — | — | https://www.tbench.ai/leaderboard/terminal-bench/2.0 via Epoch AI |
| Terminal-Bench 2.0 | Accuracy (mean over trials) | 78.4% | Third party | — | — | Terminal-Bench v2 Leaderboard via Epoch AI |
| Terminal-Bench 2.0 | Accuracy (mean over trials) | 78.4% | Third party | — | — | https://www.tbench.ai/leaderboard/terminal-bench/2.0 via Epoch AI |
| Terminal-Bench 2.0 | Accuracy (mean over trials) | 74.8% | Third party | — | — | https://www.tbench.ai/leaderboard/terminal-bench/2.0 via Epoch AI |
| Terminal-Bench 2.0 | Accuracy (mean over trials) | 59.4% | Third party | — | — | https://www.tbench.ai/leaderboard/terminal-bench/2.0 via Epoch AI |
| WeirdML (v2) | Average accuracy | 72.1% | Third party | — | — | https://htihle.github.io/weirdml.html via Epoch AI |
Agentic tool use
| Benchmark | Metric | Value | Provenance | Setting | Evaluated | Source |
|---|---|---|---|---|---|---|
| BALROG | Average progress | 57.0% | Third party | — | — | Balrog Leaderboard via Epoch AI |
| BALROG | Average progress | 56.9% | Third party | — | — | Balrog Leaderboard via Epoch AI |
| Deep Research Bench (FutureSearch) | Average score | 47.8% | Third party | high | — | https://evals.futuresearch.ai/#drb via Epoch AI |
| Deep Research Bench (FutureSearch) | Average score | 44.5% | Third party | low | — | https://evals.futuresearch.ai/#drb via Epoch AI |
Professional knowledge work
| Benchmark | Metric | Value | Provenance | Setting | Evaluated | Source |
|---|---|---|---|---|---|---|
| APEX-Agents | Pass@1 (all rubric criteria met) | 35.3% | Source not stated | — | — | Epoch AI via Epoch AI |
Long context
| Benchmark | Metric | Value | Provenance | Setting | Evaluated | Source |
|---|---|---|---|---|---|---|
| CL-bench | Tasks solved | 20.8% | Source not stated | — | — | Epoch AI via Epoch AI |
| CL-bench Life | Tasks solved | 16.9% | Source not stated | — | — | Epoch AI via Epoch AI |
Vision & multimodal understanding
| Benchmark | Metric | Value | Provenance | Setting | Evaluated | Source |
|---|---|---|---|---|---|---|
| Furniture Assembly | Score | 26.7% | Independent | high | 10 Sep 2026 | Epoch AI |
Factuality & hallucination
| Benchmark | Metric | Value | Provenance | Setting | Evaluated | Source |
|---|---|---|---|---|---|---|
| SimpleQA Verified | Accuracy (% correct) | 73.5% | Independent | high | 10 Aug 2026 | Epoch AI |
Human preference
| Benchmark | Metric | Value | Provenance | Setting | Evaluated | Source |
|---|---|---|---|---|---|---|
| Code Arena: WebDev (arena.ai) | Arena score (Elo scale) | 1446 | Independent | — | 25 Sep 2026 | Arena |
| Code Arena: WebDev (arena.ai) | Votes | 24363 | Independent | — | 25 Sep 2026 | Arena |
| Document Arena (arena.ai) | Arena score (Elo scale) | 1459 | Independent | — | 13 Sep 2026 | Arena |
| Document Arena (arena.ai) | Votes | 49457 | Independent | — | 13 Sep 2026 | Arena |
| Text Arena (arena.ai) | Arena score (Elo scale) | 1487 | Independent | — | 25 Sep 2026 | Arena |
| Text Arena (arena.ai) | Votes | 119196 | Independent | — | 25 Sep 2026 | Arena |
| Vision Arena (arena.ai) | Arena score (Elo scale) | 1280 | Independent | — | 28 Sep 2026 | Arena |
| Vision Arena (arena.ai) | Votes | 45204 | Independent | — | 28 Sep 2026 | Arena |
Other Gemini Pro versions
- Gemini 3 Pro18 Nov 2025
- Gemini 2.5 Pro25 Mar 2025
- Gemini 2.0 Pro6 Dec 2024
- Gemini 1.5 Pro15 Feb 2024
- Gemini 1.0 Pro Vision13 Dec 2023
- Gemini 1.0 Pro6 Dec 2023
Sources
- https://ai.google.dev/gemini-api/docs/models/gemini-3.1-pro-preview
- https://ai.google.dev/gemini-api/docs/gemini-3
- https://ai.google.dev/gemini-api/docs/pricing
- https://ai.google.dev/gemini-api/docs/deprecations
- https://ai.google.dev/gemini-api/docs/changelog
- https://deepmind.google/models/model-cards/gemini-3-1-pro/