Model comparison
Claude Sonnet 4 vs Mistral Medium 3.5
Claude Sonnet 4 and Mistral Medium 3.5 score almost the same on the Noometry Index (40.8 vs 40.2), so choose on price, context window or the category you care about most.
Last verified . 19 shared benchmarks.
Mistral AISummary
- They share 19 benchmarks with published results for both. Claude Sonnet 4 scores higher in 4 categories and Mistral Medium 3.5 in 5 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in multimodal, where Mistral Medium 3.5 leads 38.3 to 26.2.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 73% for Claude Sonnet 4 and 41.4% for Mistral Medium 3.5.
- Mistral Medium 3.5 is cheaper at $1.50 / $7.50 per million input/output tokens, against $3 / $15 for Claude Sonnet 4.
- Mistral Medium 3.5 accepts more context: 262K tokens versus 200K.
- Mistral Medium 3.5 has downloadable open weights; the other is API-only.
Side by side
| Claude Sonnet 4 | Mistral Medium 3.5 | |
|---|---|---|
| Provider | Anthropic | Mistral AI |
| Noometry Index | 40.8 | 40.2 |
| Released | 2025-05-22 | — |
| Weights | Proprietary | Open |
| Context window | 200K | 262K |
| Max output | 64K | 210K |
| Input $ / M tokens | $3 | $1.50 |
| Output $ / M tokens | $15 | $7.50 |
| Results tracked | 58 | 22 |
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Category by category
Coding Claude Sonnet 4 leads
Claude Sonnet 4: 43.5 (#88), Mistral Medium 3.5: 36.0 (#213)
| Benchmark | Claude Sonnet 4 | Mistral Medium 3.5 |
|---|---|---|
| LMArena Coding | 1414 | 1461 |
| SWE-bench Verified (bash only) | 64.9% | — |
| Aider Polyglot | 61.3% | — |
| LMArena WebDev | — | 1264 |
| SciCode | 40% | — |
| GSO | 4.9% | — |
| WeirdML | 46.1% | — |
| ALE-Bench | 655.35 | — |
Agentic & Tool Use Not comparable
Claude Sonnet 4: 38.5 (#31), Mistral Medium 3.5: —
| Benchmark | Claude Sonnet 4 | Mistral Medium 3.5 |
|---|---|---|
| TheAgentCompany | 33.1% | — |
| Cybench | 35% | — |
| DeepResearch Bench | 46.6% | — |
| OSWorld | 43.9% | — |
| METR Time Horizons | 62% | — |
Reasoning Claude Sonnet 4 leads
Claude Sonnet 4: 22.9 (#187), Mistral Medium 3.5: 17.3 (#295)
| Benchmark | Claude Sonnet 4 | Mistral Medium 3.5 |
|---|---|---|
| Kagi LLM Benchmark | 73% | 41.4% |
| LMArena Hard Prompts | 1372 | 1436 |
| Epoch Capabilities Index | 141.69 | 141.35 |
| ARC-AGI-2 | 5.9% | — |
| SimpleBench | 45.5% | — |
| NYT Connections (extended) | — | 12.9% |
| ARC-AGI-1 | 40% | — |
| CritPt | 0.3% | — |
| EnigmaEval | 3.1% | — |
| DTBench | 77.1% | — |
| LMCA | 29% | — |
| ForecastBench | 60.2 | — |
Math Claude Sonnet 4 leads
Claude Sonnet 4: 43.3 (#80), Mistral Medium 3.5: 39.1 (#113)
| Benchmark | Claude Sonnet 4 | Mistral Medium 3.5 |
|---|---|---|
| LMArena Math | 1375 | 1431 |
| OTIS Mock AIME 2024-2025 | 71.1% | — |
| Omni-MATH | 60.2% | — |
| MATH Level 5 | 84.4% | — |
| FrontierMath (Feb 2025 set) | 4.1% | — |
| FrontierMath Tier 4 (v1) | 0% | — |
Knowledge Claude Sonnet 4 leads
Claude Sonnet 4: 41.8 (#108), Mistral Medium 3.5: 40.0 (#126)
| Benchmark | Claude Sonnet 4 | Mistral Medium 3.5 |
|---|---|---|
| LMArena Expert | 1372 | 1432 |
| GPQA Diamond | 79.2% | — |
| Humanity's Last Exam | 7.8% | — |
| MMLU-Pro | 84.3% | — |
| Confabulations | 13.2% | — |
| Vectara Hallucination Rate | 10.3% | — |
| GPQA (HELM) | 70.6% | — |
Multimodal Mistral Medium 3.5 leads
Claude Sonnet 4: 26.2 (#121), Mistral Medium 3.5: 38.3 (#65)
| Benchmark | Claude Sonnet 4 | Mistral Medium 3.5 |
|---|---|---|
| LMArena Vision | 1191 | 1223 |
| GeoBench | 37% | — |
| VPCT | 34% | — |
| MindCube | 44.8% | — |
Multilingual Mistral Medium 3.5 leads
Claude Sonnet 4: 46.7 (#156), Mistral Medium 3.5: 51.9 (#100)
| Benchmark | Claude Sonnet 4 | Mistral Medium 3.5 |
|---|---|---|
| LMArena Non-English | 1333 | 1404 |
| LMArena Chinese | 1350 | 1442 |
| LMArena French | 1363 | 1448 |
| LMArena German | 1331 | 1451 |
| LMArena Korean | 1291 | 1385 |
| LMArena Russian | 1355 | 1395 |
| LMArena Spanish | 1357 | 1409 |
| LMArena Japanese | 1302 | — |
Instruction Following Mistral Medium 3.5 leads
Claude Sonnet 4: 71.7 (#145), Mistral Medium 3.5: 74.6 (#90)
| Benchmark | Claude Sonnet 4 | Mistral Medium 3.5 |
|---|---|---|
| LMArena Instruction Following | 1376 | 1415 |
| IFEval | 84% | — |
Long Context Mistral Medium 3.5 leads
Claude Sonnet 4: 33.7 (#259), Mistral Medium 3.5: 43.2 (#103)
| Benchmark | Claude Sonnet 4 | Mistral Medium 3.5 |
|---|---|---|
| LMArena Longer Query | 1398 | 1415 |
| Fiction.LiveBench | 46.9% | — |
Writing & Preference Mistral Medium 3.5 leads
Claude Sonnet 4: 57.1 (#132), Mistral Medium 3.5: 58.5 (#117)
| Benchmark | Claude Sonnet 4 | Mistral Medium 3.5 |
|---|---|---|
| LMArena Text | 1351 | 1421 |
| LMArena Creative Writing | 1345 | 1374 |
| LMArena Multi-Turn | 1376 | 1423 |
| Short-Story Creative Writing | 81.4% | — |
| EQ-Bench Creative Writing | 1483 | — |
| WildBench | 83.8% | — |
| EQ-Bench 4 | — | 993 |
Frequently asked questions
Is Claude Sonnet 4 better than Mistral Medium 3.5?
Claude Sonnet 4 and Mistral Medium 3.5 score almost the same on the Noometry Index (40.8 vs 40.2), so choose on price, context window or the category you care about most.
Which is cheaper, Claude Sonnet 4 or Mistral Medium 3.5?
Mistral Medium 3.5 is cheaper. It lists at $1.50 per million input tokens and $7.50 per million output tokens; Claude Sonnet 4 lists at $3 and $15.
Is Claude Sonnet 4 or Mistral Medium 3.5 better for coding?
Claude Sonnet 4 scores higher on coding benchmarks: 43.5 versus 36.0 in the Noometry coding category.
Which has the bigger context window?
Mistral Medium 3.5 does, with 262K tokens against 200K.
How many benchmarks do Claude Sonnet 4 and Mistral Medium 3.5 share?
19 benchmarks have published results for both models. Claude Sonnet 4 has 58 scored results on Noometry and Mistral Medium 3.5 has 22.