- MMLU-Pro 77.6
- LiveCodeBench (v5) (UI 10/01/2024-02/01/2025) 34.5
- Bird-SQL (Dev) 58.7
- GPQA (diamond) 60.1
- SimpleQA 29.9
- FACTS Grounding 84.6
- Global MMLU (Lite) 83.4
- MATH 90.9
- HiddenMath 63.5
- MRCR (1M) 70.5
- MMMU 71.7
- CoVoST2 (21 lang), BLEU 39
- EgoSchema (test) 71.1
Gemini 2.0 Flash Feb 2025
Gemini 2.0 Flash ranks first on 3 of the 101 benchmarks with five or more models scored.
Gemini 2.0 Flash
Feb 2025 snapshot Closed weights
- MultiChallenge 36.4% #38 /42
- ZeroBench 3.00% #57 /76
- GPQA Diamond 64.1% #132 /229
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 | |
|---|---|---|---|---|
| Vectara Hallucination Leaderboard (HHEM) | 0.70% | #1 of 148 | Official leaderboard | |
| SimpleVQA | 52.8% | #1 of 13 | Official leaderboard | |
| FaithJudge | 10.2% | #5 of 37 | Official leaderboard | |
| AidanBench | 1895.0 | #2 of 13 | Official leaderboard | |
| BIG-Bench Extra Hard | 9.80% | #2 of 11 | Official leaderboard | |
| ECLeKTic | 24.6% | #9 of 35 | Official leaderboard | |
| BBEH micro average | 23.9% | #3 of 11 | Official leaderboard | |
| BuzzBench | 54.4 | #6 of 20 | Official leaderboard | |
| IFEval | 84.1% | #23 of 60 | Official leaderboard | |
| SimpleQA | 29.9% | #24 of 60 | Lab model card | |
| MultiLoKo | 30.6% | #3 of 7 | Official leaderboard | |
| SuperGPQA | 47.7% | #26 of 59 | Official leaderboard | |
| MRCR (Michelangelo, original) | 70.5% | #4 of 9 | Lab model card | |
| FACTS Grounding | 84.6% | #7 of 15 | Lab model card | |
| Answer Factuality (Perplexity) | 78.5% | #2 of 4 | Official leaderboard | |
| LMArena (Elo) | 1,360 | #168 of 335 | Official leaderboard | |
| Fiction.LiveBench | 61.1% | #32 of 57 | Fiction.live leaderboard, via Epoch AI | |
| Global MMLU Lite | 83.4% | #9 of 16 | Lab model card | |
| MMLU-Pro | 77.6% | #94 of 167 | Lab model card | |
| HUMAINE | 26 | #29 of 50 | Official leaderboard | |
| Phare | 64.2% | #37 of 62 | Official leaderboard | |
| WritingBench | 66.8 | #29 of 45 | Official leaderboard | |
| MARS-Bench | 35.6% | #11 of 15 | Official leaderboard | |
| Creative Writing v3 | 57.0 | #91 of 120 | Official leaderboard | |
| BullshitBench V2 | 15% | #103 of 129 | Official leaderboard | |
| EQ-Bench 3 | 958 | #65 of 78 | Official leaderboard | |
| BullshitBench | 12.7% | #91 of 107 | Official leaderboard | |
| LLM Confabulation Leaderboard | 26.9% | #50 of 58 | Official leaderboard | |
| MultiChallenge | 36.4% | #38 of 42 | Official leaderboard |
Math and science
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| MATH | 90.9% | #9 of 99 | Lab model card | |
| HiddenMath | 63.5% | #3 of 11 | Lab model card | |
| MATH Level 5 | 82.2% | #26 of 94 | Epoch AI run | |
| GPQA Main | 55.6% | #29 of 60 | Official leaderboard | |
| GPQA Diamond | 64.1% | #132 of 229 | Epoch AI run | |
| MATH-500 | 89% | #24 of 38 | Official leaderboard | |
| OTIS Mock AIME 2024-2025 | 31.1% | #145 of 212 | Epoch AI run | |
| DTBench | 63.2% | #129 of 180 | Official leaderboard | |
| FrontierMath | 1.72% | #57 of 70 | Epoch AI run | |
| ARC-AGI-2 | 1.30% | #79 of 97 | Collected by Epoch AI, source not named | |
| Misguided Attention | 28.2% | #37 of 45 | Official leaderboard | |
| CORE-Bench | 11.1% | #14 of 17 | Official leaderboard | |
| AIME 2025 | 27.5% | #49 of 53 | Official leaderboard | |
| HMMT 2025 | 13.3% | #49 of 53 | Official leaderboard |
Coding
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| BigCodeBench-Hard | 28.7% | #25 of 96 | Official leaderboard | |
| Bird-SQL | 58.7% | #5 of 13 | Lab model card | |
| LiveCodeBench v5 | 34.5% | #40 of 47 | Lab model card | |
| StructEval | 62.5% | #24 of 28 | Official leaderboard | |
| SWE-bench Verified | 13.5% | #56 of 60 | Official leaderboard |
Agents and tools
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| SnakeBench | 33 | #16 of 188 | Official leaderboard | |
| Galileo Agent Leaderboard | 0.94 | #3 of 29 | Official leaderboard | |
| Berkeley Function Calling Leaderboard (BFCL) | 61.2% | #22 of 67 | Official leaderboard | |
| Factorio Learning Environment | 115782.0 | #2 of 6 | Official leaderboard | |
| Research-Eval | 54.2% | #1 of 3 | Official leaderboard | |
| LLM-WikiRace | 6.00% | #9 of 21 | Official leaderboard | |
| ToolComp | 55.6% | #18 of 32 | Official leaderboard | |
| VideoGameBench | 0% | #3 of 5 | Official leaderboard | |
| LisanBench | 197.7 | #89 of 133 | Official leaderboard | |
| VideoGameBench Lite | 0% | #4 of 5 | Official leaderboard | |
| LLM Chess | -311 | #102 of 123 | Official leaderboard | |
| BrowseComp-ZH | 6.90% | #8 of 9 | Official leaderboard | |
| GAIA | 6.31% | #59 of 64 | Official leaderboard | |
| Elimination Game | 2 | #54 of 56 | Official leaderboard |
Professional work
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| MedQA | 73% | #21 of 71 | Official leaderboard | |
| MedXpertQA | 28% | #2 of 4 | Official leaderboard | |
| LegalBench | 78.4% | #95 of 138 | Official leaderboard | |
| MortgageTax | 60.4% | #62 of 87 | Official leaderboard | |
| TaxEval v2 | 67.7% | #96 of 129 | Official leaderboard | |
| CadEval | 30% | #10 of 13 | Official leaderboard | |
| MedHELM | 36.0 | #10 of 13 | Official leaderboard | |
| Vals Finance Agent v1 | 13.2% | #37 of 47 | Official leaderboard | |
| FailureSensorIQ | 55.8% | #19 of 24 | Official leaderboard | |
| CorpFin v2 | 33.7% | #118 of 119 | Official leaderboard |
Vision, audio and robotics
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| KRETA | 85.4% | #1 of 17 | Official leaderboard | |
| OCR-Reasoning | 39.3% | #2 of 15 | Official leaderboard | |
| MathVista | 73.1% | #6 of 43 | Official leaderboard | |
| CSVQA | 44.1% | #2 of 12 | Official leaderboard | |
| AHELM | 63.3 | #2 of 10 | Official leaderboard | |
| MMMU | 71.7% | #29 of 136 | Official leaderboard | |
| VHELM | 68.1 | #10 of 41 | Official leaderboard | |
| EmoBench-M | 62.3% | #4 of 15 | Official leaderboard | |
| ERQA | 40.2% | #5 of 17 | Official leaderboard | |
| VisualPuzzles | 44.9% | #9 of 29 | Official leaderboard | |
| GeoBench | 77% | #17 of 48 | Official leaderboard | |
| CoVoST2 | 39.0 | #5 of 14 | Lab model card | |
| MathCanvas-Bench | 21.2% | #6 of 16 | Official leaderboard | |
| MMAU-Pro | 55.7% | #5 of 10 | Official leaderboard | |
| Point-Bench | 47% | #9 of 17 | Official leaderboard | |
| MATH-Vision (MathVision) | 41.3% | #59 of 105 | Official leaderboard | |
| VISTA | 39.9% | #34 of 54 | Official leaderboard | |
| Math-VR | 20.6% | #17 of 26 | Official leaderboard | |
| Vision Arena | 1,172 | #92 of 136 | Official leaderboard | |
| ZeroBench | 3.00% | #57 of 76 | Official leaderboard | |
| EgoSchema | 71.1% | #9 of 12 | Lab model card | |
| ViewSpatial-Bench | 32.6% | #6 of 7 | Official leaderboard |
Safety and security
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| Anthropic Red Team | 99.4% | #23 of 75 | Official leaderboard | |
| Video-SafetyBench | 2.00 | #6 of 15 | Official leaderboard | |
| AIR-Bench 2024 | 66.2% | #41 of 82 | Official leaderboard | |
| HELM Safety | 91.0 | #41 of 75 | Official leaderboard | |
| SimpleSafetyTests | 98.5% | #45 of 75 | Official leaderboard | |
| BaxBench | 23.3% | #21 of 34 | Official leaderboard | |
| AgentDojo | 20.8% | #13 of 20 | Official leaderboard | |
| AIRTBench | 16.9% | #6 of 9 | Official leaderboard |
Other
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| HELM Lite | 81.3 | #12 of 71 | Official leaderboard | |
| HELM Capabilities | 67.9 | #25 of 60 | Official leaderboard |
Its lab's numbers put it at 130.4, 3.6 points below its ECI
The Self-Reported Index fits one score to the 12 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 127.6 to 133.1. How we compute it.
- MATH 90.9
- FACTS Grounding 84.6
- Global MMLU Lite 83.4
- MMLU-Pro 77.6
- MMMU 71.7
- EgoSchema 71.1
- MRCR (Michelangelo, original) 70.5
- HiddenMath 63.5
- GPQA Diamond 60.1
- Bird-SQL 58.7
- LiveCodeBench v5 34.5
- SimpleQA 29.9
Its lab's numbers next to 4 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.
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. 5 of them aren't in the launch post.
Capabilities
- MMLU-Pro 77.6
- LiveCodeBench v5 34.5
- Bird-SQL 58.7
- GPQA Diamond 60.1
- SimpleQA 29.9
- FACTS Grounding 84.6
- Global MMLU Lite 83.4
- MATH 90.9
- HiddenMath 63.5
- MRCR (Michelangelo, original) 70.5
- MMMU 71.7
- CoVoST2 39
- EgoSchema 71.1