Model comparison
Claude 3.7 Sonnet vs Mistral Medium
Claude 3.7 Sonnet is the stronger model overall, scoring 39.5 to 36.3 on the Noometry Index.
Last verified . 24 shared benchmarks.
Mistral AISummary
- They share 24 benchmarks with published results for both. Claude 3.7 Sonnet scores higher in 5 categories and Mistral Medium in 5 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Claude 3.7 Sonnet leads 39.8 to 25.0.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 57.8% for Claude 3.7 Sonnet and 32.2% for Mistral Medium.
- Mistral Medium has downloadable open weights; the other is API-only.
Side by side
| Claude 3.7 Sonnet | Mistral Medium | |
|---|---|---|
| Provider | Anthropic | Mistral AI |
| Noometry Index | 39.5 | 36.3 |
| Released | 2025-02-24 | 2023-12-11 |
| Weights | Proprietary | Open |
| Context window | — | 262K |
| Max output | — | 262K |
| Input $ / M tokens | — | $1.50 |
| Output $ / M tokens | — | $7.50 |
| Results tracked | 58 | 36 |
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Category by category
Coding Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 40.6 (#136), Mistral Medium: 34.2 (#243)
| Benchmark | Claude 3.7 Sonnet | Mistral Medium |
|---|---|---|
| LMArena Coding | 1361 | 1434 |
| SWE-bench Verified | 61% | — |
| FrontierCode | — | 8% |
| SWE-bench Verified (bash only) | 52.8% | — |
| Aider Polyglot | 64.9% | — |
| SciCode | — | 40.2% |
| GSO | 3.8% | — |
| WeirdML | — | 43.7% |
| LiveBench Coding | 74.5% | — |
| CadEval | 54% | — |
| ALE-Bench | — | 763.98 |
Agentic & Tool Use Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 34.1 (#50), Mistral Medium: 28.3 (#90)
| Benchmark | Claude 3.7 Sonnet | Mistral Medium |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 37.7% |
| TheAgentCompany | 30.9% | — |
| Cybench | 20% | — |
| DeepResearch Bench | 43.6% | — |
| OSWorld | 35.8% | — |
| METR Time Horizons | 60% | — |
Reasoning Mistral Medium leads
Claude 3.7 Sonnet: 18.6 (#277), Mistral Medium: 24.0 (#167)
| Benchmark | Claude 3.7 Sonnet | Mistral Medium |
|---|---|---|
| LMArena Hard Prompts | 1333 | 1426 |
| ARC-AGI-2 | 0.9% | — |
| SimpleBench | 46.4% | — |
| Kagi LLM Benchmark | — | 50% |
| ARC-AGI-1 | 28.6% | — |
| CritPt | — | 0% |
| EnigmaEval | 4.2% | — |
| LiveBench Reasoning | 87.8% | — |
| DTBench | — | 75.5% |
| LiveBench Data Analysis | 74% | — |
| LMCA | — | 26.1% |
| Surface Evolver Bench | — | 26.9% |
| Epoch Capabilities Index | 141.16 | — |
| ForecastBench | 61.8 | — |
| LiveBench | 76.1% | — |
Math Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 37.5 (#153), Mistral Medium: 28.1 (#245)
| Benchmark | Claude 3.7 Sonnet | Mistral Medium |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 57.8% | 32.2% |
| LMArena Math | 1337 | 1408 |
| MATH Level 5 | 91.2% | 81.6% |
| FrontierMath (Feb 2025 set) | 4.1% | 0.3% |
| ProofBench | — | 9% |
| Omni-MATH | 33% | — |
| LiveBench Math | 79% | — |
Knowledge Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 39.8 (#130), Mistral Medium: 25.0 (#265)
| Benchmark | Claude 3.7 Sonnet | Mistral Medium |
|---|---|---|
| GPQA Diamond | 79.7% | 59.5% |
| Humanity's Last Exam | 8% | 4.5% |
| LMArena Expert | 1321 | 1408 |
| MMLU-Pro | 78.4% | — |
| Confabulations | 14.7% | — |
| Vectara Hallucination Rate | — | 22.7% |
| GPQA (HELM) | 60.8% | — |
Multimodal Mistral Medium leads
Claude 3.7 Sonnet: 33.7 (#95), Mistral Medium: 35.3 (#88)
| Benchmark | Claude 3.7 Sonnet | Mistral Medium |
|---|---|---|
| LMArena Vision | 1169 | 1172 |
| GeoBench | 68% | — |
| VPCT | 39% | — |
| SpatialViz-Bench | 33.9% | — |
Multilingual Mistral Medium leads
Claude 3.7 Sonnet: 44.1 (#179), Mistral Medium: 52.1 (#91)
| Benchmark | Claude 3.7 Sonnet | Mistral Medium |
|---|---|---|
| LMArena Non-English | 1296 | 1408 |
| LMArena Chinese | 1299 | 1447 |
| LMArena French | 1303 | 1459 |
| LMArena German | 1301 | 1432 |
| LMArena Japanese | 1267 | 1378 |
| LMArena Korean | 1249 | 1380 |
| LMArena Russian | 1311 | 1411 |
| LMArena Spanish | 1298 | 1433 |
Instruction Following Too close to call
Claude 3.7 Sonnet: 72.9 (#125), Mistral Medium: 73.7 (#116)
| Benchmark | Claude 3.7 Sonnet | Mistral Medium |
|---|---|---|
| LMArena Instruction Following | 1352 | 1398 |
| LiveBench Instruction Following | 81.3% | — |
| IFEval | 83.4% | — |
Long Context Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 50.3 (#10), Mistral Medium: 42.9 (#114)
| Benchmark | Claude 3.7 Sonnet | Mistral Medium |
|---|---|---|
| LMArena Longer Query | 1373 | 1406 |
| Fiction.LiveBench | 83.3% | — |
Writing & Preference Mistral Medium leads
Claude 3.7 Sonnet: 54.4 (#150), Mistral Medium: 60.0 (#103)
| Benchmark | Claude 3.7 Sonnet | Mistral Medium |
|---|---|---|
| LMArena Text | 1314 | 1424 |
| LMArena Creative Writing | 1332 | 1391 |
| Short-Story Creative Writing | 81.1% | 77.3% |
| LMArena Multi-Turn | 1339 | 1418 |
| EQ-Bench Creative Writing | 1412 | — |
| WildBench | 81.4% | — |
| LiveBench Language | 59.9% | — |
Frequently asked questions
Is Claude 3.7 Sonnet better than Mistral Medium?
Claude 3.7 Sonnet is the stronger model overall, scoring 39.5 to 36.3 on the Noometry Index.
Is Claude 3.7 Sonnet or Mistral Medium better for coding?
Claude 3.7 Sonnet scores higher on coding benchmarks: 40.6 versus 34.2 in the Noometry coding category.
How many benchmarks do Claude 3.7 Sonnet and Mistral Medium share?
24 benchmarks have published results for both models. Claude 3.7 Sonnet has 58 scored results on Noometry and Mistral Medium has 36.