- Humanity's Last Exam 21.6
- GPQA diamond, single attempt (pass@1) 86.4
- AIME 2025, single attempt (pass@1) 88
- LiveCodeBench, UI: 1/1/2025 - 5/1/2025, single attempt
- Aider Polyglot (diff-fenced) 82.2
- SWE-bench verified, multiple attempts (single attempt = 59.6%) 67.2
- SimpleQA 54
- FACTS Grounding 87.8
- MMMU, single attempt (pass@1) 82
- Vibe-Eval (Reka) 67.2
- VideoMME (Audio, visual, subtitles) 86.9
- VideoMMMU 83.6
- Best of MRCR v2 (8-needle), 128k (average) / MRCR v2 (8-needle), 1M (pointwise) 58
- Global MMLU (Lite) 89.2
Gemini 2.5 Pro Jun 2025
Gemini 2.5 Pro ranks first on 10 of the 192 benchmarks with five or more models scored.
Gemini 2.5 Pro
Jun 2025 snapshot Closed weights Flagship
- Humanity's Last Exam 21.6% #19 /47
- SWE-bench Verified 57.6% #30 /32
- Terminal-Bench 2.0 32.6% #31 /43
Where it ranks
Its best score on each benchmark, and where that ranks among every model with a score there. We rank each model once, at its best setting.
Knowledge and language
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| RewardBench 2 | 79.5% | #2 of 42 | Official leaderboard | |
| FaithJudge | 6.65% | #2 of 37 | Official leaderboard | |
| SuperGPQA | 66% | #4 of 59 | Official leaderboard | |
| IndicGenBench | 77.1 | #1 of 13 | Official leaderboard | |
| Fiction.LiveBench | 91.7% | #5 of 57 | Fiction.live leaderboard, via Epoch AI | |
| MMLU-Pro | 86% | #26 of 212 | Official leaderboard | |
| LOFT | 87% | #1 of 8 | Lab model card | |
| Wer wird Millionär? LLM Benchmark | 266667.0 | #10 of 77 | Official leaderboard | |
| FACTS Grounding | 87.8% | #2 of 15 | Lab model card | |
| LLM Confabulation Leaderboard | 12.4% | #8 of 58 | Official leaderboard | |
| SimpleQA | 54% | #11 of 60 | Lab model card | |
| WritingBench | 79.3 | #9 of 45 | Official leaderboard | |
| LMArena (Elo) | 1,446 | #69 of 335 | Official leaderboard | |
| Vectara Hallucination Leaderboard (HHEM) | 2.60% | #35 of 148 | Official leaderboard | |
| EQ-Bench 3 | 1,523 | #19 of 78 | Official leaderboard | |
| ECLeKTic | 46.8% | #2 of 7 | Lab model card | |
| FACTS Parametric | 63.2% | #13 of 45 | Official leaderboard | |
| Vectara Hallucination Leaderboard (2025 dataset) | 7.00% | #32 of 104 | Official leaderboard | |
| Global MMLU Lite | 93.2% | #14 of 43 | Official leaderboard | |
| WideSearch | 4.30% | #2 of 6 | Official leaderboard | |
| Creative Writing v3 | 72.3 | #41 of 120 | Official leaderboard | |
| MultiNRC | 45.1% | #14 of 38 | Official leaderboard | |
| Humanity's Last Exam | 21.6% | #19 of 47 | Official leaderboard | |
| IFEval | 84% | #25 of 60 | Official leaderboard | |
| Judgemark v2.1 | 72.1 | #23 of 42 | Official leaderboard | |
| Longform Creative Writing (EQ-Bench) | 58.8 | #66 of 119 | Official leaderboard | |
| BullshitBench | 23.6% | #63 of 107 | Official leaderboard | |
| MRCR v2 | 58% | #19 of 30 | Lab model card | |
| MultiChallenge | 53.6% | #27 of 42 | Official leaderboard | |
| BullshitBench V2 | 20% | #93 of 129 | Official leaderboard | |
| FACTS Search | 63.9% | #23 of 31 | Official leaderboard | |
| Phare | 60.5% | #50 of 62 | Official leaderboard | |
| Document Arena | 1,433 | #35 of 39 | Official leaderboard |
Math and science
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| PHYBench | 45.8% | #2 of 28 | Official leaderboard | |
| GPQA Main | 74.9% | #5 of 60 | Official leaderboard | |
| HiPhO | 70.4% | #3 of 36 | Official leaderboard | |
| MATH-500 | 95.2% | #5 of 38 | Official leaderboard | |
| Misguided Attention | 57.4% | #9 of 45 | Official leaderboard | |
| miniCTX-v2 | 36.2% | #1 of 4 | Official leaderboard | |
| AMO-Bench | 38.7% | #6 of 21 | Official leaderboard | |
| SimpleBench | 62.4% | #34 of 106 | Official leaderboard | |
| ForecastBench | 0.13 | #27 of 82 | Official leaderboard | |
| IMO 2025 | 31.6% | #2 of 6 | Official leaderboard | |
| Putnam-like | 91.2% | #2 of 6 | Official leaderboard | |
| GPQA Diamond | 85.3% | #80 of 229 | Epoch AI run | |
| ATLAS (OpenCompass) | 35.3% | #2 of 5 | Official leaderboard | |
| OTIS Mock AIME 2024-2025 | 84.7% | #87 of 212 | Epoch AI run | |
| AIME 2025 | 88% | #60 of 143 | Lab model card | |
| DTBench | 82.4% | #81 of 180 | Official leaderboard | |
| HiddenMath-Hard | 80.5% | #1 of 2 | Lab model card | |
| FrontierMath | 14.1% | #29 of 55 | Official leaderboard | |
| FrontierMath Tier 4 | 4.17% | #29 of 55 | Epoch AI run | |
| SciArena | 1,010 | #18 of 34 | Official leaderboard | |
| CORE-Bench | 22.2% | #11 of 17 | Official leaderboard | |
| ARC-AGI-2 | 4.86% | #68 of 98 | Official leaderboard | |
| IMO-ProofBench | 17.6% | #14 of 20 | Official leaderboard | |
| General365 | 48.7% | #17 of 23 | Official leaderboard | |
| ARC-AGI | 41% | #71 of 95 | Official leaderboard | |
| FrontierMath Tiers 1-3 v2 | 24.6% | #71 of 86 | Official leaderboard | |
| MathArena (Apex, IMO, USAMO) | 0.52% | #41 of 47 | Official leaderboard | |
| HMMT Nov 2025 | 80% | #20 of 22 | Official leaderboard | |
| FrontierMath Tier 4 v2 | 0% | #67 of 68 | Official leaderboard | |
| IMC 2025 | 94.5% | #1 of 1 | Official leaderboard |
Coding
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| Aider Polyglot | 82.2% | #2 of 30 | Lab model card | |
| LiveCodeBench v6 | 73.6% | #3 of 21 | Official leaderboard | |
| ArtifactsBench | 57.7% | #3 of 20 | Official leaderboard | |
| LiveCodeBench | 88.9% | #4 of 21 | Official leaderboard | |
| LiveCodeBench v5 | 74% | #4 of 21 | Official leaderboard | |
| AutoCodeBench | 48.7% | #7 of 34 | Official leaderboard | |
| MLE-bench | 59.6% | #3 of 12 | Official leaderboard | |
| LiveSQLBench | 28.7% | #13 of 36 | Official leaderboard | |
| WeirdML | 54% | #42 of 112 | Official leaderboard | |
| METR Time Horizon | 40 min | #13 of 31 | Official leaderboard | |
| IOI (Vals) | 17.1% | #26 of 55 | Official leaderboard | |
| DesignArena Data Visualization | 1,220 | #56 of 118 | Official leaderboard | |
| AlgoTune | 1.51× | #11 of 18 | Official leaderboard | |
| DesignArena Website | 1,160 | #95 of 151 | Official leaderboard | |
| DesignArena Code | 1,143 | #97 of 143 | Official leaderboard | |
| DesignArena UI Component | 1,131 | #97 of 139 | Official leaderboard | |
| DesignArena Game Dev | 1,101 | #101 of 143 | Official leaderboard | |
| CodeClash | 1,124 | #6 of 8 | Official leaderboard | |
| DesignArena 3D Design | 1,063 | #104 of 136 | Official leaderboard | |
| GSO-Bench | 3.92% | #25 of 30 | Official leaderboard | |
| Vibe Code Bench v1 | 0.40% | #15 of 17 | Official leaderboard | |
| SWE-Bench Pro Private | 10.1% | #11 of 12 | Official leaderboard | |
| SWE-bench Verified | 57.6% | #30 of 32 | Epoch AI run | |
| SWE-fficiency | 3.13% | #16 of 17 | Official leaderboard | |
| Code Arena | 1,228 | #121 of 128 | Official leaderboard | |
| WebDev Arena | 1,226 | #100 of 105 | arena.ai, via Epoch AI | |
| Vibe Code Bench | 0.40% | #116 of 120 | Official leaderboard | |
| DesignArena Agentic Overall | 907 | #73 of 74 | Official leaderboard | |
| Image-to-WebDev Arena | 1,285 | #55 of 55 | Official leaderboard | |
| FrontierCS | 20.3 | #14 of 14 | Official leaderboard |
Agents and tools
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| Step Race | 4 | #7 of 59 | Official leaderboard | |
| Orak | 3.90 | #1 of 6 | Official leaderboard | |
| Meta Agents Research Environments (ARE) / Gaia2 | 25.8% | #3 of 13 | Official leaderboard | |
| SnakeBench | 29 | #45 of 188 | Official leaderboard | |
| GAIA | 66.1% | #23 of 64 | Official leaderboard | |
| Terminal-Bench | 32.6% | #7 of 18 | tbench.ai, via Epoch AI | |
| Elimination Game | 4 | #22 of 56 | Official leaderboard | |
| Galileo Agent Leaderboard v2 | 43% | #10 of 21 | Official leaderboard | |
| LisanBench | 556.0 | #66 of 133 | Official leaderboard | |
| OSWorld-Verified | 45.8% | #19 of 33 | Official leaderboard | |
| Pencil Puzzle Bench | 0% | #34 of 53 | Official leaderboard | |
| MCP-Universe | 22.1% | #20 of 30 | Official leaderboard | |
| ITBench | 42.3% | #9 of 13 | Official leaderboard | |
| DeepSearchQA | 24.6% | #7 of 10 | Official leaderboard | |
| Agent Poker Bench | 1,033 | #12 of 17 | Official leaderboard | |
| Terminal-Bench 2.0 | 32.6% | #31 of 43 | Official leaderboard | |
| PinchBench | 63.1% | #36 of 48 | Official leaderboard | |
| MCPMark | 15.8% | #21 of 28 | Official leaderboard | |
| DeepResearch Bench | 41.5% | #18 of 22 | evals.futuresearch.ai, via Epoch AI | |
| τ³-bench Banking | 13.7% | #22 of 25 | Official leaderboard | |
| CompileBench | 60% | #18 of 20 | Official leaderboard | |
| LMArena Search Arena | 1,145 | #34 of 37 | Official leaderboard | |
| Toolathlon | 10.5% | #49 of 50 | Official leaderboard | |
| LiveResearchBench | 61.6 | #7 of 7 | Official leaderboard | |
| AndroidDaily | 36.6% | #2 of 2 | Official leaderboard |
Professional work
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| MedCode | 50.6% | #17 of 96 | Official leaderboard | |
| LegalBench | 84.3% | #35 of 138 | Official leaderboard | |
| CaseLaw v2 | 63.9% | #15 of 53 | Official leaderboard | |
| FailureSensorIQ | 67% | #7 of 24 | Official leaderboard | |
| MortgageTax | 67.2% | #27 of 87 | Official leaderboard | |
| ProfBench | 52.1% | #23 of 72 | Official leaderboard | |
| TaxEval v2 | 72.9% | #55 of 129 | Official leaderboard | |
| Vals Finance Agent v1 | 29.4% | #25 of 47 | Official leaderboard | |
| CorpFin v2 | 60.8% | #64 of 119 | Official leaderboard | |
| MedHELM | 51.9 | #8 of 13 | Official leaderboard | |
| PRBench | 41.4% | #32 of 48 | Official leaderboard | |
| Vals Finance Agent | 41.6% | #39 of 49 | Official leaderboard | |
| Vending-Bench 2 | $574 | #55 of 67 | Official leaderboard | |
| Vending-Bench Arena | $773 | #27 of 32 | Official leaderboard | |
| Remote Labor Index | 0.83% | #19 of 19 | Official leaderboard |
Vision, audio and robotics
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| VHELM | 87.1 | #1 of 41 | Official leaderboard | |
| VISTA | 54.6% | #2 of 54 | Official leaderboard | |
| ERQA | 55.6% | #1 of 17 | Official leaderboard | |
| AHELM | 80.3 | #1 of 10 | Official leaderboard | |
| Math-VR | 64.7% | #3 of 26 | Official leaderboard | |
| MMMU | 82% | #12 of 103 | Lab model card | |
| ActivityNet-QA | 66.7% | #1 of 8 | Lab model card | |
| SpatialViz-Bench | 44.7% | #1 of 8 | Claim in arxiv.org, via Epoch AI | |
| LVBench | 78.7% | #5 of 31 | Lab model card | |
| Perception Test MCVQA | 78.4% | #1 of 6 | Lab model card | |
| VisualPuzzles | 49.5% | #5 of 29 | Official leaderboard | |
| VATEX | 71.3 | #1 of 5 | Lab model card | |
| MADQA | 73.1% | #4 of 18 | Official leaderboard | |
| GeoBench | 81% | #12 of 48 | Official leaderboard | |
| Blueprint-Bench | 0.42 | #2 of 8 | Official leaderboard | |
| VATEX ZH | 59.7 | #1 of 4 | Lab model card | |
| YouCook2 | 188.3 | #1 of 4 | Lab model card | |
| OCR Arena | 1,745 | #3 of 11 | Official leaderboard | |
| Video-MME | 86.9% | #15 of 51 | Lab model card | |
| VPCT | 46.4% | #9 of 27 | VPCT leaderboard, via Epoch AI | |
| Vibe-Eval | 67.2% | #3 of 9 | Lab model card | |
| BetterChartQA | 72.4% | #1 of 3 | Lab model card | |
| Vision Arena | 1,247 | #47 of 136 | Official leaderboard | |
| 1H-VideoQA | 79% | #7 of 20 | Official leaderboard | |
| RoboRewardBench | 0.90 | #8 of 22 | Official leaderboard | |
| Audio MC | 46.9% | #7 of 18 | Official leaderboard | |
| Video-MMMU | 83.6% | #15 of 36 | Lab model card | |
| CoVoST2 | 38.5 | #7 of 14 | Lab model card | |
| MINERVA | 67.6% | #3 of 6 | Lab model card | |
| Neptune | 87.3% | #1 of 2 | Lab model card | |
| ClockBench | 18.9% | #20 of 37 | Official leaderboard | |
| Math Kangaroo 2025 (MathArena) | 77.2% | #14 of 22 | Official leaderboard | |
| OmniDocBench v1.5 | 88.0 | #7 of 11 | Official leaderboard | |
| ZeroBench | 5.00% | #52 of 76 | Official leaderboard | |
| VoxelBench Image | 1,199 | #10 of 13 | Official leaderboard | |
| EgoTempo | 44.3% | #4 of 5 | Lab model card | |
| QVHighlights | 75% | #4 of 5 | Lab model card | |
| MineBench | 1,128 | #61 of 75 | Official leaderboard | |
| Drone-Bench | 33.9% | #16 of 19 | Official leaderboard | |
| VoxelBench | 1,282 | #53 of 56 | Official leaderboard | |
| DECIDE | 18.0 | #8 of 8 | Official leaderboard |
Safety and security
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| PCT (Polarized Contrastive Pairs) | 37.3% | #9 of 46 | Official leaderboard | |
| In-house CTF suite (Phuong et al. 2024) | 84.6% | #1 of 4 | Lab model card | |
| Anthropic Red Team | 99.5% | #20 of 75 | Official leaderboard | |
| AIR-Bench 2024 | 73.6% | #31 of 82 | Official leaderboard | |
| BaxBench | 33.3% | #14 of 34 | Official leaderboard | |
| WMDP Chemistry | 80% | #3 of 7 | Lab model card | |
| HELM Safety | 91.4 | #37 of 75 | Official leaderboard | |
| LAB-Bench CloningScenarios | 53% | #6 of 12 | Lab model card | |
| WMDP Biology | 86% | #4 of 8 | Lab model card | |
| GDM Stealth | 40% | #3 of 6 | Lab model card | |
| Cyber key skills benchmark v1 | 50% | #2 of 4 | Lab model card | |
| SecureBio VMQA, single choice | 56% | #2 of 4 | Lab model card | |
| Dangerous Content policy violations (from ART) | 24.3% | #1 of 2 | Lab model card | |
| Helpfulness violations (from ART) | 6.10% | #1 of 2 | Lab model card | |
| Indirect prompt injection, TAP attack | 30.8% | #1 of 2 | Lab model card | |
| BinaryAudit | 21.1% | #11 of 20 | Official leaderboard | |
| KORA | 29.1% | #28 of 42 | Official leaderboard | |
| LAB-Bench SeqQA | 71% | #8 of 12 | Lab model card | |
| LAB-Bench ProtocolQA | 74% | #11 of 16 | Lab model card | |
| Hack the Box challenge set (Google DeepMind) | 7.70% | #3 of 4 | Lab model card | |
| InterCode-CTF | 97.4% | #3 of 4 | Lab model card | |
| Spiral-Bench v1.2 | 28.3 | #16 of 21 | Official leaderboard | |
| SimpleSafetyTests | 97% | #58 of 75 | Official leaderboard | |
| Spiral-Bench v1.0 | 43.5 | #11 of 13 | Official leaderboard | |
| FORTRESS | 61.7% | #71 of 73 | Official leaderboard | |
| GDM Situational Awareness | 18.2% | #8 of 8 | Lab model card | |
| Divergence attack (extractable memorization) | 59% | #2 of 2 | Lab model card | |
| Indirect prompt injection, Actor Critic attack | 61.4% | #2 of 2 | Lab model card | |
| Indirect prompt injection, Beam Search attack | 63.8% | #2 of 2 | Lab model card |
Other
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| TutorBench | 55.6% | #3 of 20 | Official leaderboard | |
| HELM Capabilities | 74.5 | #14 of 60 | Official leaderboard | |
| Conceptual Reasoning Index | 47.5 | #79 of 151 | Official leaderboard | |
| ACCoRD | 62.7 | #82 of 152 | Official leaderboard | |
| SAGE (Vals) | 41.9% | #55 of 81 | Official leaderboard | |
| CAIS Vision Capabilities Index | 45.7 | #37 of 53 | Official leaderboard | |
| CAIS Text Capabilities Index | 22.4 | #49 of 68 | Official leaderboard | |
| CAIS Risk Index | 64.3 | #58 of 67 | Official leaderboard |
Its lab's numbers put it at 143.9, in line with its ECI
The Self-Reported Index fits one score to the 17 capability results Google DeepMind reported for this model, on the scale of the Epoch Capabilities Index. Labs choose which benchmarks to show and how to run them, so read it as the lab's claim, not an independent measurement. The 90% interval runs from 141.4 to 146.4. How we compute it.
- Global MMLU Lite 89.2
- AIME 2025 88
- FACTS Grounding 87.8
- LOFT 87
- Video-MME 86.9
- GPQA Diamond 86.4
- Video-MMMU 83.6
- Aider Polyglot 82.2
- MMMU 82
- LVBench 78.7
- SWE-bench Verified 67.2
- Vibe-Eval 67.2
- ActivityNet-QA 66.7
- MRCR v2 58
- SimpleQA 54
- Humanity's Last Exam 21.6
- ZeroBench 4.5
Its lab's numbers next to 10 leaderboards
Where the benchmark's own leaderboard, or Epoch AI's run, also has this model. Gaps mostly come from different harnesses, effort levels and task subsets. Every pair.
| Benchmark | Lab says | Board says | Gap |
|---|---|---|---|
| SWE-bench Verified | 67.2% SWE-bench verified, multiple attempts (single attempt = 59.6%) | 53.6% Leaderboard, mini-SWE-agent | +14 pts |
| ECLeKTic | 46.8% ECLeKTic (Table 3) | 36.9% Leaderboard | +9.9 pts |
| Global MMLU Lite | 89.2% Global MMLU (Lite) | 93.2% Leaderboard | −4.0 pts |
| 1H-VideoQA | 81% 1H-VideoQA, test, 0-shot (Table 6) | 79% Leaderboard | +2.0 pts |
| GPQA Diamond | 86.4% GPQA diamond, single attempt (pass@1) | 85.3% Epoch AI run | +1.1 pts |
| Aider Polyglot | 82.2% Aider Polyglot (diff-fenced) | 83.1% Leaderboard, aider, diff-fenced edits | −0.9 pts |
| ZeroBench | 4.50% ZeroBench, Gemini as judge, average of 4 runs (Table 3) | 5.00% Leaderboard | −0.5 pts |
| Humanity's Last Exam | 21.6% Humanity's Last Exam | 21.6% Leaderboard | Same |
| FACTS Grounding | 87.8% FACTS Grounding | 87.8% Leaderboard | Same |
| Video-MMMU | 83.6% VideoMMMU | 83.6% Leaderboard | Same |
Google DeepMind's models over time
Google DeepMind's models in color, against every other model on the Epoch Capabilities Index, by release date.
Source: Epoch Capabilities Index, Epoch AI (CC BY 4.0)
Its launch post
The benchmarks the lab chose to headline, with the scores it gave.
Its system card
Every result in the longer documents the lab published with it. 46 of them aren't in the launch post.
Capabilities
- LiveCodeBench
- Aider Polyglot 82.2
- SWE-bench Verified 59.6
- GPQA Diamond 86.4
- Humanity's Last Exam 21.6
- SimpleQA 54
- FACTS Grounding 87.8
- Global MMLU Lite 89.2
- ECLeKTic 46.8
- AIME 2025 88
- HiddenMath-Hard 80.5
- LOFT 87
- MRCR v2 58
- MMMU 82
- Vibe-Eval 67.2
- ZeroBench 4.5
- BetterChartQA 72.4
- FLEURS 6.66
- CoVoST2 38.5
- ActivityNet-QA 66.7
- EgoTempo 44.3
- Perception Test MCVQA 78.4
- QVHighlights 75
- Video-MMMU 83.6
- 1H-VideoQA 81
- LVBench 78.7
- Video-MME 86.9
- VATEX 71.3
- VATEX ZH 59.7
- YouCook2 188.3
- MINERVA 67.6
- Neptune 87.3
- LMArena (Elo)
- WebDev Arena
Safety
Robustness
Alignment
- GDM Stealth 40
- GDM Situational Awareness 18.2