- AIME'25 (cons@64; pass@1 = 82.0) [Grok 3 mini Think] 90.8
- AIME'24 (cons@64; pass@1 = 89.5) [Grok 3 mini Think] 95.8
- GPQA (cons@64; pass@1 = 80.3) [Grok 3 mini Think] 84
- LCB (Code Generation: 10/1/2024 - 2/1/2025) (cons@64; pass@1 = 74.8) [Grok 3 mini Think]
- MMLU-pro [Grok 3 mini, non-reasoning table] 78.9
- LOFT (128k) [Grok 3 mini, non-reasoning table] 83.1
- SimpleQA [Grok 3 mini, non-reasoning table] 21.7
- MMMU [Grok 3 mini, non-reasoning table] 69.4
- EgoSchema [Grok 3 mini, non-reasoning table] 74.3
Grok-3 mini
Grok-3 mini ranks first on 2 of the 67 benchmarks with five or more models scored.
Grok-3 mini
Closed weights
- GPQA Diamond 76.3% #107 /229
- SimpleQA Verified 20.2% #41 /56
- FrontierMath 5.86% #38 /55
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 | |
|---|---|---|---|---|
| IFEval | 95.1% | #1 of 60 | Official leaderboard | |
| LLM Confabulation Leaderboard | 10.8% | #4 of 58 | Official leaderboard | |
| Vectara Hallucination Leaderboard (HHEM) | 3.30% | #52 of 148 | Official leaderboard | |
| LOFT | 83.1% | #3 of 8 | Lab model card | |
| Fiction.LiveBench | 66.7% | #24 of 57 | Fiction.live leaderboard, via Epoch AI | |
| LMArena (Elo) | 1,364 | #166 of 335 | Official leaderboard | |
| MMLU-Pro | 78.9% | #88 of 167 | Lab model card | |
| ECLeKTic | 17.1% | #20 of 35 | Official leaderboard | |
| FACTS Grounding | 75% | #22 of 34 | Official leaderboard | |
| SimpleQA | 21.7% | #39 of 60 | Lab model card | |
| EQ-Bench 3 | 1,088 | #57 of 78 | Official leaderboard | |
| SimpleQA Verified | 20.2% | #41 of 56 | Official leaderboard | |
| Phare | 60% | #51 of 62 | Official leaderboard | |
| Global MMLU Lite | 67.3% | #40 of 43 | Official leaderboard |
Math and science
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| Misguided Attention | 73.7% | #1 of 45 | Official leaderboard | |
| AIME 2024 | 95.8% | #3 of 88 | Lab model card | |
| MATH Level 5 | 90.9% | #16 of 94 | Epoch AI run | |
| GPQA Main | 67.5% | #14 of 60 | Official leaderboard | |
| MATH-500 | 94.2% | #10 of 38 | Official leaderboard | |
| AIME 2025 | 90.8% | #46 of 143 | Lab model card | |
| IneqMath | 6.00% | #14 of 34 | Official leaderboard | |
| OTIS Mock AIME 2024-2025 | 77.8% | #99 of 212 | Epoch AI run | |
| GPQA Diamond | 76.3% | #107 of 229 | Epoch AI run | |
| PolyMath | 32.3% | #19 of 38 | Official leaderboard | |
| HMMT 2025 | 74.2% | #29 of 53 | Official leaderboard | |
| GSM8K Platinum Initial 268 | 98.5% | #12 of 19 | Official leaderboard | |
| FrontierMath | 5.86% | #38 of 55 | Official leaderboard | |
| BRUMO 2025 | 85% | #32 of 42 | Official leaderboard | |
| SMT 2025 | 78.8% | #31 of 40 | Official leaderboard | |
| CMIMC 2025 | 68.1% | #28 of 33 | Official leaderboard | |
| ARC-AGI | 16.5% | #82 of 95 | Official leaderboard | |
| ARC-AGI-2 | 0.42% | #88 of 98 | Official leaderboard | |
| PutnamBench | 0% | #12 of 12 | Official leaderboard |
Coding
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| BigCodeBench-Hard | 31.1% | #16 of 96 | Official leaderboard | |
| LiveCodeBench | 82.9% | #10 of 21 | Official leaderboard | |
| LiveCodeBench v6 | 66.7% | #10 of 21 | Official leaderboard | |
| Aider Polyglot | 49.3% | #22 of 46 | Official leaderboard | |
| LiveCodeBench v5 | 68.4% | #11 of 21 | Official leaderboard | |
| WeirdML | 42.6% | #69 of 112 | Official leaderboard | |
| DesignArena Website | 922 | #140 of 151 | Official leaderboard | |
| DesignArena 3D Design | 938 | #128 of 136 | Official leaderboard | |
| DesignArena Game Dev | 940 | #135 of 143 | Official leaderboard | |
| DesignArena Code | 921 | #138 of 143 | Official leaderboard | |
| DesignArena UI Component | 881 | #135 of 139 | Official leaderboard | |
| DesignArena Data Visualization | 875 | #118 of 118 | Official leaderboard |
Agents and tools
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| Elimination Game | 6 | #6 of 56 | Official leaderboard | |
| Step Race | 3 | #16 of 59 | Official leaderboard | |
| LLM Chess | 430 | #46 of 123 | Official leaderboard | |
| LisanBench | 849.3 | #59 of 133 | Official leaderboard | |
| lmgame-Bench | 29.0 | #11 of 23 | Official leaderboard | |
| TextQuests | 17.8 | #15 of 28 | Official leaderboard | |
| Berkeley Function Calling Leaderboard (BFCL) | 53% | #41 of 67 | Official leaderboard |
Professional work
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| TaxEval v2 | 73% | #54 of 129 | Official leaderboard | |
| LegalBench | 83.1% | #58 of 138 | Official leaderboard | |
| Vals Finance Agent v1 | 31.7% | #22 of 47 | Official leaderboard | |
| CorpFin v2 | 61.1% | #59 of 119 | Official leaderboard |
Vision, audio and robotics
Safety and security
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| Anthropic Red Team | 99.5% | #18 of 75 | Official leaderboard | |
| SimpleSafetyTests | 99.3% | #30 of 75 | Official leaderboard | |
| Human Pathogen Capabilities Test v2 (HPCT v2) | 51.6% | #39 of 71 | Official leaderboard | |
| HELM Safety | 90.2 | #46 of 75 | Official leaderboard | |
| AIR-Bench 2024 | 53.5% | #60 of 82 | Official leaderboard | |
| Human Pathogen Capabilities Test | 40.9% | #69 of 86 | Official leaderboard | |
| LiveSecBench | 28.4 | #29 of 34 | Official leaderboard | |
| Molecular Biology Capabilities Test | 37.5% | #82 of 90 | Official leaderboard |
Other
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| HELM Capabilities | 67.9 | #24 of 60 | Official leaderboard |
Its lab's numbers put it at 138.7, 1.2 points below its ECI
The Self-Reported Index fits one score to the 8 capability results xAI 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 135.0 to 142.3. How we compute it.
Its lab's numbers next to 3 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 |
|---|---|---|---|
| AIME 2025 | 90.8% AIME'25 (cons@64; pass@1 = 82.0) [Grok 3 mini Think] | 81.7% Leaderboard, high | +9.1 pts |
| GPQA Diamond | 84% GPQA (cons@64; pass@1 = 80.3) [Grok 3 mini Think] | 76.3% Epoch AI run, low | +7.7 pts |
| MMLU-Pro | 78.9% MMLU-pro [Grok 3 mini, non-reasoning table] | 83% Leaderboard | −4.1 pts |
xAI's models over time
xAI'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.