Gemini 3.1 Pro Preview · APEX-Agents-AA ↗
Google / MODEL EVIDENCE
Gemini 3.1 Pro Preview
55 benchmarks · 74 observations · 57 sources · released 2026-02-19
Scores at a glance
55 benchmarks · large dot: Gemini 3.1 Pro Preview; small dots: closest models where reported
Gemini 3.1 Pro Preview · Harvey LAB-AA v1.1 · all-pass ↗
Gemini 3.1 Pro Preview · EnterpriseOps-Gym-AA ↗
Gemini 3.1 Pro Preview · GPQA Diamond · AA implementation ↗
2 more reported results
94.44% · Gemini 3.1 Pro Preview · GPQA diamond · Best score (across scorers) · % · Epoch AI · GPQA diamond ↗
94.1% · Gemini 3.1 Pro Preview · GPQA diamond · Best score (across scorers) · % · Epoch AI · GPQA diamond ↗
Gemini 3.1 Pro Preview · MMMU-Pro · AA implementation ↗
Gemini 3.1 Pro Preview · IFBench · AA implementation ↗
Gemini 3.1 Pro Preview · Terminal-Bench Hard ↗
Gemini 3.1 Pro Preview · τ²-Bench Telecom ↗
Gemini 3.1 Pro Preview · Global-MMLU-Lite ↗
Gemini 3.1 Pro Preview · FrontierMath-2025-02-28-Private · Best score (across scorers) · % ↗
Gemini 3.1 Pro Preview · FrontierMath-Tier-4-2025-07-01-Private · Best score (across scorers) · % ↗
Gemini 3.1 Pro Preview · FrontierMath-Tiers-1-3-v2-Private · Best score (across scorers) · % ↗
Gemini 3.1 Pro Preview · FrontierMath-Tier-4-v2-Private · Best score (across scorers) · % ↗
Gemini 3.1 Pro Preview · OTIS Mock AIME 2024-2025 · Best score (across scorers) · % ↗
1 more reported result
95.56% · Gemini 3.1 Pro Preview · OTIS Mock AIME 2024-2025 · Best score (across scorers) · % · Epoch AI · OTIS Mock AIME 2024-2025 ↗
Gemini 3.1 Pro Preview · SWE-Bench verified · Best score (across scorers) · % ↗
Gemini 3.1 Pro Preview · SimpleQA Verified · Best score (across scorers) · % ↗
Gemini 3.1 Pro Preview · Chess Puzzles · Best score (across scorers) · % ↗
Gemini 3.1 Pro Preview · EBR-bench · Best score (across scorers) · % ↗
Gemini 3.1 Pro Preview · Mystery Game Puzzles · Best score (across scorers) · % ↗
2 more reported results
32% · Gemini 3.1 Pro Preview · Mystery Game Puzzles · Best score (across scorers) · % · Epoch AI · Mystery Game Puzzles ↗
29% · Gemini 3.1 Pro Preview · Mystery Game Puzzles · Best score (across scorers) · % · Epoch AI · Mystery Game Puzzles ↗
Gemini 3.1 Pro Preview · MirrorCode · Best score (across scorers) · % ↗
Gemini 3.1 Pro Preview · ARC-AGI · Score · % ↗
Gemini 3.1 Pro Preview · Balrog · Average progress · % ↗
1 more reported result
56.9% · Gemini 3.1 Pro Preview · Balrog · Average progress · % · Epoch AI · Balrog ↗
Gemini 3.1 Pro Preview · DeepResearch Bench · Average score · % ↗
1 more reported result
44.5% · Gemini 3.1 Pro Preview · DeepResearch Bench · Average score · % · Epoch AI · DeepResearch Bench ↗
Gemini 3.1 Pro Preview · GSO-Bench · Score OPT@1 · % ↗
Gemini 3.1 Pro Preview · SimpleBench · Score (AVG@5) · % ↗
Gemini 3.1 Pro Preview · Terminal Bench · Accuracy mean · % ↗
4 more reported results
78.4% · Gemini 3.1 Pro Preview · Terminal Bench · Accuracy mean · % · Epoch AI · Terminal Bench ↗
74.83% · Gemini 3.1 Pro Preview · Terminal Bench · Accuracy mean · % · Epoch AI · Terminal Bench ↗
61.42% · Gemini 3.1 Pro Preview · Terminal Bench · Accuracy mean · % · Epoch AI · Terminal Bench ↗
78.4% · Gemini 3.1 Pro Preview · Terminal Bench · Accuracy mean · % · Epoch AI · Terminal Bench ↗
Gemini 3.1 Pro Preview · WeirdML · Accuracy · % ↗
Gemini 3.1 Pro Preview · APEX-Agents · Pass@1 score · % ↗
Gemini 3.1 Pro Preview · ARC-AGI-2 · Score · % ↗
1 more reported result
77.08% · Gemini 3.1 Pro Preview · ARC-AGI-2 · Score · % · Epoch AI · ARC-AGI-2 ↗
Gemini 3.1 Pro Preview · HLE · Accuracy · % ↗
Gemini 3.1 Pro Preview · PostTrainBench · Average (%) · % ↗
Gemini 3.1 Pro Preview · GBAEval · Overall score · % ↗
Gemini 3.1 Pro Preview · CritPt · Accuracy · % ↗
Gemini 3.1 Pro Preview · ExploitBench · Mean capability · % ↗
1 more reported result
15.7% · Gemini 3.1 Pro Preview · ExploitBench · Mean capability · % · Epoch AI · ExploitBench ↗
Gemini 3.1 Pro Preview · CL-bench · Overall · % ↗
Gemini 3.1 Pro Preview · CL-bench Life · Overall · % ↗
Gemini 3.1 Pro Preview · METR task performance & time horizons · Average task accuracy ↗
1 more reported result
384.14743 minutes · Gemini 3.1 Pro Preview · METR task performance & time horizons · 50% success task horizon · METR-Horizon-v1.1 · Epoch AI · METR Autonomy / Task-Horizon Suite · public result data ↗
Gemini 3.1 Pro Preview · DeepSWE · Pass@1 · % ↗
Gemini 3.1 Pro Preview · ProofBench · Accuracy · % ↗
Gemini 3.1 Pro Preview · LMCA · Score · % ↗
2 more reported results
52.8% · Gemini 3.1 Pro Preview · LMCA · Score · % · Epoch AI · LMCA ↗
51.18% · Gemini 3.1 Pro Preview · LMCA · Score · % · Epoch AI · LMCA ↗
Gemini 3.1 Pro Preview · DTBench · Accuracy · % ↗
2 more reported results
95.47% · Gemini 3.1 Pro Preview · DTBench · Accuracy · % · Epoch AI · DTBench ↗
94.93% · Gemini 3.1 Pro Preview · DTBench · Accuracy · % · Epoch AI · DTBench ↗
Gemini 3.1 Pro Preview · Furniture Assembly · Best score (across scorers) · % ↗
Gemini 3.1 Pro Preview · GDP.pdf · GDP.pdf score · % ↗
Gemini 3.1 Pro Preview · SciCode · Score · % ↗
Gemini 3.1 Pro Preview · WebDev Arena · Elo ↗
Gemini 3.1 Pro Preview · Blueprint-Bench 2 · Score · % ↗
Gemini 3.1 Pro Preview · EnigmaEval · Accuracy · % ↗
gemini-3.1-pro-preview (high) · Scale Labs · Score ↗
gemini-3.1-pro-preview · Scale Labs · large ↗
gemini-3.1-pro-preview · Scale Labs · Risk elicitation score ↗
gemini-3.1-pro-preview · Scale Labs · Score ↗
gemini-3.1-pro-preview · Scale Labs · Score ↗
Gemini 3.1 Pro Preview · OfficeQA Pro · OfficeQA Pro v1 ↗
Gemini 3.1 Pro Preview (high) · Harmonic-mean speedup ↗
gemini-3.1-pro-preview† · Overall difficulty-adjusted Brier index ↗
Closest models by score
Similar positions on shared benchmark leaderboards. Smaller gaps are closer.
17 of 24 shared benchmark comparisons
How similarity is measured
Mean absolute gap in percentile positions on shared benchmark settings; lower is closer. At least 60% overlap is required, with a minimum of three when available. Independent evaluations are used when there are at least three; otherwise published report comparisons are used. Repeated model observations within one setting are averaged before ranking. Writing-style traits and composite indices are excluded. This describes similarity, not an overall quality ranking.
Sources
Every plotted observation links to its evaluation. Reported configurations, benchmark versions and task subsets can differ; similarity describes shared scores, not training lift.
- Blueprint-Bench 2 | Andon Labs ↗
- ARC Prize - Leaderboard ↗
- Arena leaderboard — WebDev evaluation ↗
- APEX-Agents-AA Benchmark | Artificial Analysis ↗
- EnterpriseOps-Gym-AA Benchmark | Artificial Analysis ↗
- Global-MMLU-Lite Benchmark | Artificial Analysis ↗
- GPQA Diamond Benchmark | Artificial Analysis ↗
- Harvey LAB-AA v1.1 Benchmark | Artificial Analysis ↗
- IFBench Benchmark | Artificial Analysis ↗
- MMMU-Pro Benchmark | Artificial Analysis ↗
- SciCode Benchmark | Artificial Analysis ↗
- 𝜏²-Bench Telecom Benchmark | Artificial Analysis ↗
- Terminal-Bench Hard Benchmark | Artificial Analysis ↗
- OfficeQA Pro: An Enterprise Benchmark for End-to-End Grounded Reasoning — published result table ↗
All 13 authors
Opsahl-Ong, Krista, Singhvi, Arnav, Collins, Jasmine, Zhou, Ivan, Wang, Cindy, Baheti, Ashutosh, Oertell, Owen, Portes, Jacob, Havens, Sam, Elsen, Erich, Bendersky, Michael, Zaharia, Matei, Chen, Xing
- BALROG: Benchmarking Agentic LLM and VLM Reasoning On Games ↗
All 13 authors
Paglieri, Davide, Cupiał, Bartłomiej, Coward, Samuel, Piterbarg, Ulyana, Wolczyk, Maciej, Khan, Akbir, Pignatelli, Eduardo, Kuciński, Łukasz, Pinto, Lerrel, Fergus, Rob, Foerster, Jakob Nicolaus, Parker-Holder, Jack, Rocktäschel, Tim
- DTBench — Conceptual Reasoning Index ↗
- LMCA — Conceptual Reasoning Index ↗
- DeepSWE ↗
- Algotune — methodology and published results ↗
- APEX-Agents ↗
- ARC-AGI-2 ↗
- Chess Puzzles ↗
- CL-bench ↗
- CL-bench Life ↗
- CritPt v1 ↗
- Earthborne Rangers (EBR-bench) ↗
- ExploitBench v0.1 ↗
- Forecastbench — methodology and published results ↗
- FrontierMath Tier 4 (v1, old) ↗
- FrontierMath Tier 4 (v2) ↗
- FrontierMath Tiers 1-3 (v1, old) ↗
- FrontierMath Tiers 1-3 (v2) ↗
- Furniture Assembly Benchmark ↗
- GPQA Diamond ↗
- Humanity's Last Exam ↗
- MirrorCode ↗
- Mystery Game Puzzles ↗
- OTIS Mock AIME 2024-2025 ↗
- PostTrainBench v1.1 ↗
- SimpleQA Verified ↗
- SWE-bench Verified ↗
- Terminal-Bench 2.0 ↗
- FutureSearch Evals ↗
- Gemini 3.1 Pro Preview — GBA Eval ↗
- GSO: Challenging Software Optimization Tasks for Evaluating SWE-Agents ↗
- WeirdML ↗
- EnigmaEval ↗
- Scale Labs — evaluation methodology and results ↗
- Scale Labs — evaluation methodology and results ↗
- Scale Labs — evaluation methodology and results ↗
- Scale Labs — evaluation methodology and results ↗
- Scale Labs — evaluation methodology and results ↗
- AI Model Benchmarks — LM Council ↗
- Measuring AI Ability to Complete Long Software Tasks ↗
- GDP.pdf Benchmark | Surge AI ↗
- Terminal-Bench 2.0 leaderboard ↗
- ProofBench — evaluation methodology and results ↗
Names used in source tables
Gemini 3.1 Pro Preview · Gemini 3.1 Pro Preview (high) · gemini-3.1-pro-preview · gemini-3.1-pro-preview (high) · gemini-3.1-pro-preview†