- SWE-bench Verified 69.4
- Multi-SWE-Bench 36.2
- SWE-bench Multilingual 56.5
- Terminal-Bench 46.3
- ArtifactsBench 66.8
- BrowseComp 44
- BrowseComp-zh 48.5
- GAIA (text only) 75.7
- xbench-DeepSearch 72
- Best of HLE (w/ tools) / HLE (w/o tools) (AA) 31.8
- Best of τ²-Bench / τ²-Bench-Telecom (AA) 87
- FinSearchComp-global 65.5
- AgentCompany 36
- AIME25 (AA) 78
- MMLU-Pro (AA) 82
- GPQA-Diamond (AA) 78
- LiveCodeBench (LCB) (AA) 83
- SciCode (AA) 36
- IFBench (AA) 72
- AA-LCR 61
- Terminal-Bench-Hard (AA) 24
- AA Intelligence 61
MiniMax-M2
MiniMax-M2 ranks first on ArtifactsBench.
MiniMax-M2
Open weights Flagship
- IFBench 72% #33 /80
- Terminal-Bench 2.0 30% #32 /43
- SciCode 36% #39 /49
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 | |
|---|---|---|---|---|
| MMLU-Pro | 82% | #59 of 167 | Lab model card | |
| IFBench | 72% | #33 of 80 | Lab model card | |
| Humanity's Last Exam | 31.8% | #75 of 154 | Lab model card | |
| LMArena (Elo) | 1,344 | #183 of 335 | Official leaderboard | |
| AA-LCR (Artificial Analysis Long Context Reasoning) | 61% | #23 of 38 | Lab model card | |
| Longform Creative Writing (EQ-Bench) | 46.4 | #90 of 119 | Official leaderboard | |
| WideSearch | 62.3% | #15 of 19 | Lab model card | |
| Extended NYT Connections | 14.8% | #93 of 103 | Official leaderboard |
Math and science
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| GPQA Diamond | 78% | #131 of 302 | Lab model card | |
| AIME 2025 | 78% | #97 of 143 | Lab model card | |
| SimpleBench | 25% | #92 of 106 | Official leaderboard |
Coding
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| LiveCodeBench | 83% | #9 of 54 | Lab model card | |
| ArtifactsBench | 66.8% | #1 of 5 | Lab model card | |
| SWE-bench Verified | 61% | #28 of 60 | Official leaderboard | |
| MLE-bench | 40% | #5 of 10 | Lab model card | |
| Multi-SWE-bench | 36.2% | #7 of 10 | Lab model card | |
| SciCode | 36% | #39 of 49 | Lab model card | |
| CooperBench | 14% | #5 of 6 | Official leaderboard | |
| Code Arena | 1,299 | #110 of 128 | Official leaderboard | |
| SWE-bench Multilingual | 56.5% | #63 of 73 | Lab model card | |
| WebDev Arena | 1,298 | #91 of 105 | arena.ai, via Epoch AI | |
| OctoCodingbench | 13.3% | #6 of 6 | Official leaderboard | |
| SWE-Review | 3.40% | #5 of 5 | Official leaderboard | |
| VIBE (MiniMax) | 67.5% | #5 of 5 | Official leaderboard | |
| PRDBench | 24.8% | #4 of 4 | Official leaderboard | |
| VIBE-Pro (MiniMax) | 42.4% | #3 of 3 | Lab model card |
Agents and tools
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| tau2-bench | 87% | #21 of 79 | Lab model card | |
| Elimination Game | 5 | #19 of 56 | Official leaderboard | |
| Terminal-Bench | 30% | #8 of 18 | tbench.ai, via Epoch AI | |
| SnakeBench | 24 | #93 of 188 | Official leaderboard | |
| Terminal-Bench Hard | 24% | #8 of 13 | Lab model card | |
| Terminal-Bench 2.0 | 30% | #32 of 43 | Official leaderboard | |
| GAIA | 75.7% | #4 of 5 | Lab model card | |
| BrowseComp | 44% | #69 of 81 | Lab model card | |
| BrowseComp-ZH | 48.5% | #17 of 19 | Lab model card | |
| Toolathlon | 18.8% | #29 of 29 | Lab model card | |
| xbench-DeepSearch | 72% | #3 of 3 | Lab model card |
Professional work
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| Physical-Engineering's Last Exam | 0.06 | #14 of 18 | Official leaderboard | |
| Vending-Bench 2 | $161 | #60 of 67 | Official leaderboard | |
| ProfBench | 37.7% | #66 of 72 | Official leaderboard | |
| FinSearchComp Global | 65.5% | #1 of 1 | Lab model card | |
| TheAgentCompany | 36% | #1 of 1 | Lab model card |
Safety and security
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| LiveSecBench | 66.7 | #8 of 34 | Official leaderboard |
Other
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| Artificial Analysis Intelligence Index v3 | 61.0 | #1 of 1 | Lab model card |
Its lab's numbers put it at 141.0, number 169 of 404
The Self-Reported Index fits one score to the 18 capability results MiniMax 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 139.0 to 143.0. How we compute it.
- tau2-bench 87
- LiveCodeBench 83
- MMLU-Pro 82
- AIME 2025 78
- GPQA Diamond 78
- IFBench 72
- SWE-bench Verified 69.4
- WideSearch 62.3
- AA-LCR (Artificial Analysis Long Context Reasoning) 61
- SWE-bench Multilingual 56.5
- BrowseComp-ZH 48.5
- Terminal-Bench 46.3
- BrowseComp 44
- Multi-SWE-bench 36.2
- SciCode 36
- Humanity's Last Exam 31.8
- Terminal-Bench Hard 24
- Toolathlon 18.8
Its lab's numbers next to 2 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.
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
- SWE-bench Multilingual 56.5
- Multi-SWE-bench 36.2
- VIBE-Pro (MiniMax) 42.4
- BrowseComp 44
- WideSearch 62.3
- Toolathlon 18.8
- GDPval-AA 34
- AIME 2025 78
- GPQA Diamond 78
- AA-LCR (Artificial Analysis Long Context Reasoning) 61
AI R&D risk
- MLE-bench 40