Model comparison
Claude 3.7 Sonnet vs MiniMax-M2
Claude 3.7 Sonnet is the stronger model overall, scoring 39.5 to 37.4 on the Noometry Index.
Last verified . 16 shared benchmarks.
MiniMaxSummary
- They share 16 benchmarks with published results for both. Claude 3.7 Sonnet scores higher in 7 categories and MiniMax-M2 in 2 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in long context, where Claude 3.7 Sonnet leads 50.3 to 40.5.
- The biggest single-benchmark swing is SWE-bench Verified (bash only): 52.8% for Claude 3.7 Sonnet and 61% for MiniMax-M2.
- MiniMax-M2 has downloadable open weights; the other is API-only.
Side by side
| Claude 3.7 Sonnet | MiniMax-M2 | |
|---|---|---|
| Provider | Anthropic | MiniMax |
| Noometry Index | 39.5 | 37.4 |
| Released | 2025-02-24 | 2025-10-27 |
| Weights | Proprietary | Open |
| Context window | — | 205K |
| Max output | — | 131K |
| Input $ / M tokens | — | $0.30 |
| Output $ / M tokens | — | $1.20 |
| Results tracked | 58 | 21 |
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Category by category
Coding Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 40.6 (#136), MiniMax-M2: 39.3 (#159)
| Benchmark | Claude 3.7 Sonnet | MiniMax-M2 |
|---|---|---|
| SWE-bench Verified (bash only) | 52.8% | 61% |
| LMArena Coding | 1361 | 1370 |
| SWE-bench Verified | 61% | — |
| Aider Polyglot | 64.9% | — |
| LMArena WebDev | — | 1297 |
| GSO | 3.8% | — |
| LiveBench Coding | 74.5% | — |
| CadEval | 54% | — |
Agentic & Tool Use Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 34.1 (#50), MiniMax-M2: 25.1 (#109)
| Benchmark | Claude 3.7 Sonnet | MiniMax-M2 |
|---|---|---|
| Terminal-Bench | — | 30% |
| TheAgentCompany | 30.9% | — |
| Cybench | 20% | — |
| DeepResearch Bench | 43.6% | — |
| OSWorld | 35.8% | — |
| METR Time Horizons | 60% | — |
| Vending-Bench 2 | — | 160.6 |
Reasoning Too close to call
Claude 3.7 Sonnet: 18.6 (#277), MiniMax-M2: 19.4 (#258)
| Benchmark | Claude 3.7 Sonnet | MiniMax-M2 |
|---|---|---|
| LMArena Hard Prompts | 1333 | 1357 |
| ARC-AGI-2 | 0.9% | — |
| SimpleBench | 46.4% | — |
| Kagi LLM Benchmark | — | 57.8% |
| NYT Connections (extended) | — | 14.8% |
| ARC-AGI-1 | 28.6% | — |
| EnigmaEval | 4.2% | — |
| LiveBench Reasoning | 87.8% | — |
| LiveBench Data Analysis | 74% | — |
| Epoch Capabilities Index | 141.16 | — |
| ForecastBench | 61.8 | — |
| LiveBench | 76.1% | — |
Math Too close to call
Claude 3.7 Sonnet: 37.5 (#153), MiniMax-M2: 37.3 (#160)
| Benchmark | Claude 3.7 Sonnet | MiniMax-M2 |
|---|---|---|
| LMArena Math | 1337 | 1352 |
| OTIS Mock AIME 2024-2025 | 57.8% | — |
| Omni-MATH | 33% | — |
| LiveBench Math | 79% | — |
| MATH Level 5 | 91.2% | — |
| FrontierMath (Feb 2025 set) | 4.1% | — |
Knowledge Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 39.8 (#130), MiniMax-M2: 37.0 (#163)
| Benchmark | Claude 3.7 Sonnet | MiniMax-M2 |
|---|---|---|
| LMArena Expert | 1321 | 1337 |
| GPQA Diamond | 79.7% | — |
| Humanity's Last Exam | 8% | — |
| MMLU-Pro | 78.4% | — |
| Confabulations | 14.7% | — |
| GPQA (HELM) | 60.8% | — |
Multimodal Not comparable
Claude 3.7 Sonnet: 33.7 (#95), MiniMax-M2: —
| Benchmark | Claude 3.7 Sonnet | MiniMax-M2 |
|---|---|---|
| LMArena Vision | 1169 | — |
| GeoBench | 68% | — |
| VPCT | 39% | — |
| SpatialViz-Bench | 33.9% | — |
Multilingual MiniMax-M2 leads
Claude 3.7 Sonnet: 44.1 (#179), MiniMax-M2: 45.3 (#171)
| Benchmark | Claude 3.7 Sonnet | MiniMax-M2 |
|---|---|---|
| LMArena Non-English | 1296 | 1313 |
| LMArena Chinese | 1299 | 1366 |
| LMArena French | 1303 | 1335 |
| LMArena German | 1301 | 1355 |
| LMArena Russian | 1311 | 1331 |
| LMArena Spanish | 1298 | 1326 |
| LMArena Japanese | 1267 | — |
| LMArena Korean | 1249 | — |
Instruction Following Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 72.9 (#125), MiniMax-M2: 70.2 (#166)
| Benchmark | Claude 3.7 Sonnet | MiniMax-M2 |
|---|---|---|
| LMArena Instruction Following | 1352 | 1328 |
| LiveBench Instruction Following | 81.3% | — |
| IFEval | 83.4% | — |
Long Context Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 50.3 (#10), MiniMax-M2: 40.5 (#153)
| Benchmark | Claude 3.7 Sonnet | MiniMax-M2 |
|---|---|---|
| LMArena Longer Query | 1373 | 1331 |
| Fiction.LiveBench | 83.3% | — |
Writing & Preference Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 54.4 (#150), MiniMax-M2: 53.0 (#162)
| Benchmark | Claude 3.7 Sonnet | MiniMax-M2 |
|---|---|---|
| LMArena Text | 1314 | 1340 |
| LMArena Creative Writing | 1332 | 1286 |
| LMArena Multi-Turn | 1339 | 1361 |
| Short-Story Creative Writing | 81.1% | — |
| EQ-Bench Creative Writing | 1412 | — |
| WildBench | 81.4% | — |
| LiveBench Language | 59.9% | — |
Frequently asked questions
Is Claude 3.7 Sonnet better than MiniMax-M2?
Claude 3.7 Sonnet is the stronger model overall, scoring 39.5 to 37.4 on the Noometry Index.
Is Claude 3.7 Sonnet or MiniMax-M2 better for coding?
Claude 3.7 Sonnet scores higher on coding benchmarks: 40.6 versus 39.3 in the Noometry coding category.
How many benchmarks do Claude 3.7 Sonnet and MiniMax-M2 share?
16 benchmarks have published results for both models. Claude 3.7 Sonnet has 58 scored results on Noometry and MiniMax-M2 has 21.