Model comparison
Claude 3.5 Sonnet vs Mistral Large
Claude 3.5 Sonnet is the stronger model overall, scoring 34.6 to 31.9 on the Noometry Index.
Last verified . 45 shared benchmarks.
Mistral AISummary
- They share 45 benchmarks with published results for both. Claude 3.5 Sonnet scores higher in 8 categories and Mistral Large in 1 category; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Claude 3.5 Sonnet leads 52.9 to 40.7.
- The biggest single-benchmark swing is BigCodeBench Complete: 58.6% for Claude 3.5 Sonnet and 38.3% for Mistral Large.
- Mistral Large has downloadable open weights; the other is API-only.
Side by side
| Claude 3.5 Sonnet | Mistral Large | |
|---|---|---|
| Provider | Anthropic | Mistral AI |
| Noometry Index | 34.6 | 31.9 |
| Released | 2024-06-20 | 2024-02-26 |
| Weights | Proprietary | Open |
| Context window | — | 131K |
| Max output | — | 16K |
| Input $ / M tokens | — | $2 |
| Output $ / M tokens | — | $6 |
| Results tracked | 60 | 51 |
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Category by category
Coding Claude 3.5 Sonnet leads
Claude 3.5 Sonnet: 39.0 (#165), Mistral Large: 34.3 (#240)
| Benchmark | Claude 3.5 Sonnet | Mistral Large |
|---|---|---|
| BigCodeBench Instruct | 46.8% | 30% |
| LiveBench Coding | 67.1% | 47.1% |
| LMArena Coding | 1342 | 1277 |
| BigCodeBench Complete | 58.6% | 38.3% |
| HumanEval+ | 81.7% | 62.2% |
| MBPP+ | 74.3% | 59.5% |
| Aider Polyglot | 51.6% | — |
| SciCode | — | 36.2% |
| GSO | 4.6% | — |
| WeirdML | 40% | — |
| CadEval | 48% | — |
| ALE-Bench | — | 264.7 |
Agentic & Tool Use Claude 3.5 Sonnet leads
Claude 3.5 Sonnet: 32.3 (#67), Mistral Large: 28.6 (#89)
| Benchmark | Claude 3.5 Sonnet | Mistral Large |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 38.4% |
| TheAgentCompany | 24% | — |
| Cybench | 17.5% | — |
| BALROG | 32.6% | — |
| METR Time Horizons | 45.2% | — |
Reasoning Claude 3.5 Sonnet leads
Claude 3.5 Sonnet: 23.1 (#183), Mistral Large: 15.8 (#310)
| Benchmark | Claude 3.5 Sonnet | Mistral Large |
|---|---|---|
| SimpleBench | 41.4% | 22.5% |
| LiveBench Reasoning | 56.7% | 43.5% |
| LMArena Hard Prompts | 1305 | 1257 |
| DTBench | 67.8% | 65.1% |
| LiveBench Data Analysis | 55% | 50.1% |
| Epoch Capabilities Index | 133.55 | 128.52 |
| ForecastBench | 60.7 | 57.1 |
| LiveBench | 59% | 48.4% |
| CritPt | — | 0% |
| EnigmaEval | 0.9% | — |
| LMCA | — | 16.7% |
Math Too close to call
Claude 3.5 Sonnet: 19.2 (#288), Mistral Large: 18.2 (#291)
| Benchmark | Claude 3.5 Sonnet | Mistral Large |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 8.5% | 8.5% |
| Omni-MATH | 27.6% | 28.1% |
| LiveBench Math | 52.3% | 42.5% |
| LMArena Math | 1307 | 1262 |
| MATH Level 5 | 56.9% | 50.3% |
| FrontierMath (Feb 2025 set) | 2.1% | 0.3% |
| FrontierMath Tier 4 (v1) | 0% | — |
Knowledge Mistral Large leads
Claude 3.5 Sonnet: 28.6 (#245), Mistral Large: 30.1 (#230)
| Benchmark | Claude 3.5 Sonnet | Mistral Large |
|---|---|---|
| GPQA Diamond | 55.3% | 51.3% |
| MMLU-Pro | 77.7% | 59.9% |
| Confabulations | 19.9% | 21.4% |
| GPQA (HELM) | 56.5% | 43.5% |
| LMArena Expert | 1265 | 1232 |
| MMLU | 87.3% | 80% |
| Humanity's Last Exam | 4.1% | — |
| Vectara Hallucination Rate | — | 4.5% |
Multimodal Not comparable
Claude 3.5 Sonnet: 26.5 (#120), Mistral Large: —
| Benchmark | Claude 3.5 Sonnet | Mistral Large |
|---|---|---|
| LMArena Vision | 1125 | — |
| Video-MME | 60% | — |
| GeoBench | 62% | — |
| VPCT | 33% | — |
Multilingual Claude 3.5 Sonnet leads
Claude 3.5 Sonnet: 43.2 (#185), Mistral Large: 40.0 (#219)
| Benchmark | Claude 3.5 Sonnet | Mistral Large |
|---|---|---|
| LMArena Non-English | 1283 | 1237 |
| LMArena Chinese | 1272 | 1240 |
| LMArena French | 1305 | 1325 |
| LMArena German | 1297 | 1254 |
| LMArena Japanese | 1234 | 1188 |
| LMArena Korean | 1200 | 1202 |
| LMArena Russian | 1306 | 1257 |
| LMArena Spanish | 1290 | 1268 |
Instruction Following Too close to call
Claude 3.5 Sonnet: 68.8 (#182), Mistral Large: 67.9 (#191)
| Benchmark | Claude 3.5 Sonnet | Mistral Large |
|---|---|---|
| LiveBench Instruction Following | 69.3% | 67.9% |
| IFEval | 85.5% | 87.7% |
| LMArena Instruction Following | 1297 | 1249 |
Long Context Claude 3.5 Sonnet leads
Claude 3.5 Sonnet: 39.9 (#167), Mistral Large: 38.3 (#199)
| Benchmark | Claude 3.5 Sonnet | Mistral Large |
|---|---|---|
| LMArena Longer Query | 1311 | 1261 |
Writing & Preference Claude 3.5 Sonnet leads
Claude 3.5 Sonnet: 52.9 (#164), Mistral Large: 40.7 (#242)
| Benchmark | Claude 3.5 Sonnet | Mistral Large |
|---|---|---|
| LMArena Text | 1298 | 1266 |
| LMArena Creative Writing | 1292 | 1243 |
| Short-Story Creative Writing | 80.3% | 69% |
| EQ-Bench Creative Writing | 1451 | 985 |
| WildBench | 79.2% | 80.1% |
| LMArena Multi-Turn | 1326 | 1260 |
| LiveBench Language | 53.8% | 39.4% |
Frequently asked questions
Is Claude 3.5 Sonnet better than Mistral Large?
Claude 3.5 Sonnet is the stronger model overall, scoring 34.6 to 31.9 on the Noometry Index.
Is Claude 3.5 Sonnet or Mistral Large better for coding?
Claude 3.5 Sonnet scores higher on coding benchmarks: 39.0 versus 34.3 in the Noometry coding category.
How many benchmarks do Claude 3.5 Sonnet and Mistral Large share?
45 benchmarks have published results for both models. Claude 3.5 Sonnet has 60 scored results on Noometry and Mistral Large has 51.