Model comparison
Claude 3.7 Sonnet vs Mistral Large
Claude 3.7 Sonnet is the stronger model overall, scoring 39.4 to 31.6 on the Noometry Index.
Last verified . 39 shared benchmarks.
Mistral AISummary
- They share 39 benchmarks with published results for both. Claude 3.7 Sonnet scores higher in 9 categories and Mistral Large in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where Claude 3.7 Sonnet leads 35.7 to 17.1.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 57.8% for Claude 3.7 Sonnet and 8.5% for Mistral Large.
- Mistral Large has downloadable open weights; the other is API-only.
Side by side
| Claude 3.7 Sonnet | Mistral Large | |
|---|---|---|
| Provider | Anthropic | Mistral AI |
| Noometry Index | 39.4 | 31.6 |
| Released | 2025-02-24 | 2024-02-26 |
| Weights | Proprietary | Open |
| Context window | — | 131K |
| Max output | — | 16K |
| Input $ / M tokens | — | $2 |
| Output $ / M tokens | — | $6 |
| Results tracked | 58 | 51 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 41.1 (#120), Mistral Large: 33.8 (#240)
| Benchmark | Claude 3.7 Sonnet | Mistral Large |
|---|---|---|
| LiveBench Coding | 74.5% | 47.1% |
| LMArena Coding | 1361 | 1277 |
| SWE-bench Verified | 61% | — |
| SWE-bench Verified (bash only) | 52.8% | — |
| Aider Polyglot | 64.9% | — |
| SciCode | — | 36.2% |
| GSO | 3.8% | — |
| BigCodeBench Instruct | — | 30% |
| BigCodeBench Complete | — | 38.3% |
| CadEval | 54% | — |
| ALE-Bench | — | 264.7 |
| HumanEval+ | — | 62.2% |
| MBPP+ | — | 59.5% |
Agentic & Tool Use Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 33.9 (#46), Mistral Large: 28.4 (#83)
| Benchmark | Claude 3.7 Sonnet | Mistral Large |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 38.4% |
| TheAgentCompany | 30.9% | — |
| Cybench | 20% | — |
| DeepResearch Bench | 43.6% | — |
| OSWorld | 35.8% | — |
| METR Time Horizons | 60% | — |
Reasoning Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 18.7 (#252), Mistral Large: 15.4 (#305)
| Benchmark | Claude 3.7 Sonnet | Mistral Large |
|---|---|---|
| SimpleBench | 46.4% | 22.5% |
| LiveBench Reasoning | 87.8% | 43.5% |
| LMArena Hard Prompts | 1333 | 1257 |
| LiveBench Data Analysis | 74% | 50.1% |
| Epoch Capabilities Index | 141.16 | 128.52 |
| ForecastBench | 61.8 | 57.1 |
| LiveBench | 76.1% | 48.4% |
| ARC-AGI-2 | 0.9% | — |
| ARC-AGI-1 | 28.6% | — |
| CritPt | — | 0% |
| EnigmaEval | 4.2% | — |
| DTBench | — | 65.1% |
| LMCA | — | 16.7% |
Math Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 35.7 (#137), Mistral Large: 17.1 (#285)
| Benchmark | Claude 3.7 Sonnet | Mistral Large |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 57.8% | 8.5% |
| Omni-MATH | 33% | 28.1% |
| LiveBench Math | 79% | 42.5% |
| LMArena Math | 1336 | 1262 |
| MATH Level 5 | 91.2% | 50.3% |
| FrontierMath (Feb 2025 set) | 4.1% | 0.3% |
Knowledge Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 39.7 (#117), Mistral Large: 30.0 (#224)
| Benchmark | Claude 3.7 Sonnet | Mistral Large |
|---|---|---|
| GPQA Diamond | 79.7% | 51.3% |
| MMLU-Pro | 78.4% | 59.9% |
| Confabulations | 14.7% | 21.4% |
| GPQA (HELM) | 60.8% | 43.5% |
| LMArena Expert | 1321 | 1232 |
| Humanity's Last Exam | 8% | — |
| Vectara Hallucination Rate | — | 4.5% |
| MMLU | — | 80% |
Multimodal Not comparable
Claude 3.7 Sonnet: 33.1 (#90), Mistral Large: —
| Benchmark | Claude 3.7 Sonnet | Mistral Large |
|---|---|---|
| LMArena Vision | 1169 | — |
| GeoBench | 68% | — |
| VPCT | 39% | — |
| SpatialViz-Bench | 33.9% | — |
Multilingual Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 44.3 (#174), Mistral Large: 40.1 (#214)
| Benchmark | Claude 3.7 Sonnet | Mistral Large |
|---|---|---|
| LMArena Non-English | 1296 | 1237 |
| LMArena Chinese | 1299 | 1240 |
| LMArena French | 1302 | 1324 |
| LMArena German | 1301 | 1254 |
| LMArena Japanese | 1268 | 1187 |
| LMArena Korean | 1249 | 1202 |
| LMArena Russian | 1311 | 1257 |
| LMArena Spanish | 1299 | 1268 |
Instruction Following Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 73.1 (#120), Mistral Large: 68.1 (#186)
| Benchmark | Claude 3.7 Sonnet | Mistral Large |
|---|---|---|
| LiveBench Instruction Following | 81.3% | 67.9% |
| IFEval | 83.4% | 87.7% |
| LMArena Instruction Following | 1352 | 1249 |
Long Context Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 50.2 (#10), Mistral Large: 38.3 (#194)
| Benchmark | Claude 3.7 Sonnet | Mistral Large |
|---|---|---|
| LMArena Longer Query | 1373 | 1262 |
| Fiction.LiveBench | 83.3% | — |
Writing & Preference Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 54.6 (#145), Mistral Large: 40.9 (#237)
| Benchmark | Claude 3.7 Sonnet | Mistral Large |
|---|---|---|
| LMArena Text | 1314 | 1266 |
| LMArena Creative Writing | 1332 | 1243 |
| Short-Story Creative Writing | 81.1% | 69% |
| EQ-Bench Creative Writing | 1412 | 985 |
| WildBench | 81.4% | 80.1% |
| LMArena Multi-Turn | 1339 | 1260 |
| LiveBench Language | 59.9% | 39.4% |
Frequently asked questions
Is Claude 3.7 Sonnet better than Mistral Large?
Claude 3.7 Sonnet is the stronger model overall, scoring 39.4 to 31.6 on the Noometry Index.
Is Claude 3.7 Sonnet or Mistral Large better for coding?
Claude 3.7 Sonnet scores higher on coding benchmarks: 41.1 versus 33.8 in the Noometry coding category.
How many benchmarks do Claude 3.7 Sonnet and Mistral Large share?
39 benchmarks have published results for both models. Claude 3.7 Sonnet has 58 scored results on Noometry and Mistral Large has 51.