Model comparison
Claude Sonnet 4 vs Mistral Small 3.1
Claude Sonnet 4 is the stronger model overall, scoring 40.8 to 31.7 on the Noometry Index. Mistral Small 3.1 costs 15× less per token, which makes it the better buy when Claude Sonnet 4's lead doesn't matter for your workload.
Last verified . 27 shared benchmarks.
Mistral AISummary
- They share 27 benchmarks with published results for both. Claude Sonnet 4 scores higher in 7 categories and Mistral Small 3.1 in 2 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where Claude Sonnet 4 leads 43.3 to 14.7.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 71.1% for Claude Sonnet 4 and 3.9% for Mistral Small 3.1.
- Mistral Small 3.1 is cheaper at $0.35 / $0.56 per million input/output tokens, against $3 / $15 for Claude Sonnet 4.
- Claude Sonnet 4 accepts more context: 200K tokens versus 128K.
- Mistral Small 3.1 has downloadable open weights; the other is API-only.
Side by side
| Claude Sonnet 4 | Mistral Small 3.1 | |
|---|---|---|
| Provider | Anthropic | Mistral AI |
| Noometry Index | 40.8 | 31.7 |
| Released | 2025-05-22 | 2025-03-17 |
| Weights | Proprietary | Open |
| Context window | 200K | 128K |
| Max output | 64K | 102K |
| Input $ / M tokens | $3 | $0.35 |
| Output $ / M tokens | $15 | $0.56 |
| Results tracked | 58 | 28 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Claude Sonnet 4 leads
Claude Sonnet 4: 43.5 (#88), Mistral Small 3.1: 38.3 (#179)
| Benchmark | Claude Sonnet 4 | Mistral Small 3.1 |
|---|---|---|
| LMArena Coding | 1414 | 1309 |
| SWE-bench Verified (bash only) | 64.9% | — |
| Aider Polyglot | 61.3% | — |
| SciCode | 40% | — |
| GSO | 4.9% | — |
| WeirdML | 46.1% | — |
| ALE-Bench | 655.35 | — |
Agentic & Tool Use Not comparable
Claude Sonnet 4: 38.5 (#31), Mistral Small 3.1: —
| Benchmark | Claude Sonnet 4 | Mistral Small 3.1 |
|---|---|---|
| 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 Small 3.1: 19.7 (#254)
| Benchmark | Claude Sonnet 4 | Mistral Small 3.1 |
|---|---|---|
| LMArena Hard Prompts | 1372 | 1278 |
| Epoch Capabilities Index | 141.69 | 127.48 |
| ARC-AGI-2 | 5.9% | — |
| SimpleBench | 45.5% | — |
| Kagi LLM Benchmark | 73% | — |
| ARC-AGI-1 | 40% | — |
| CritPt | 0.3% | — |
| Chess Puzzles | — | 1% |
| EnigmaEval | 3.1% | — |
| DTBench | 77.1% | — |
| LMCA | 29% | — |
| ForecastBench | 60.2 | — |
Math Claude Sonnet 4 leads
Claude Sonnet 4: 43.3 (#80), Mistral Small 3.1: 14.7 (#301)
| Benchmark | Claude Sonnet 4 | Mistral Small 3.1 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 71.1% | 3.9% |
| Omni-MATH | 60.2% | 24.8% |
| LMArena Math | 1375 | 1262 |
| 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 Small 3.1: 22.6 (#271)
| Benchmark | Claude Sonnet 4 | Mistral Small 3.1 |
|---|---|---|
| GPQA Diamond | 79.2% | 41.9% |
| MMLU-Pro | 84.3% | 61% |
| GPQA (HELM) | 70.6% | 39.2% |
| LMArena Expert | 1372 | 1257 |
| Humanity's Last Exam | 7.8% | — |
| Confabulations | 13.2% | — |
| Vectara Hallucination Rate | 10.3% | — |
Multimodal Mistral Small 3.1 leads
Claude Sonnet 4: 26.2 (#121), Mistral Small 3.1: 33.2 (#99)
| Benchmark | Claude Sonnet 4 | Mistral Small 3.1 |
|---|---|---|
| LMArena Vision | 1191 | 1136 |
| GeoBench | 37% | — |
| VPCT | 34% | — |
| MindCube | 44.8% | — |
Multilingual Claude Sonnet 4 leads
Claude Sonnet 4: 46.7 (#156), Mistral Small 3.1: 41.2 (#209)
| Benchmark | Claude Sonnet 4 | Mistral Small 3.1 |
|---|---|---|
| LMArena Non-English | 1333 | 1255 |
| LMArena Chinese | 1350 | 1253 |
| LMArena French | 1363 | 1273 |
| LMArena German | 1331 | 1266 |
| LMArena Japanese | 1302 | 1208 |
| LMArena Korean | 1291 | 1206 |
| LMArena Russian | 1355 | 1263 |
| LMArena Spanish | 1357 | 1283 |
Instruction Following Claude Sonnet 4 leads
Claude Sonnet 4: 71.7 (#145), Mistral Small 3.1: 63.6 (#230)
| Benchmark | Claude Sonnet 4 | Mistral Small 3.1 |
|---|---|---|
| IFEval | 84% | 75% |
| LMArena Instruction Following | 1376 | 1264 |
Long Context Mistral Small 3.1 leads
Claude Sonnet 4: 33.7 (#259), Mistral Small 3.1: 39.5 (#178)
| Benchmark | Claude Sonnet 4 | Mistral Small 3.1 |
|---|---|---|
| LMArena Longer Query | 1398 | 1299 |
| Fiction.LiveBench | 46.9% | — |
Writing & Preference Claude Sonnet 4 leads
Claude Sonnet 4: 57.1 (#132), Mistral Small 3.1: 37.0 (#259)
| Benchmark | Claude Sonnet 4 | Mistral Small 3.1 |
|---|---|---|
| LMArena Text | 1351 | 1277 |
| LMArena Creative Writing | 1345 | 1253 |
| EQ-Bench Creative Writing | 1483 | 761 |
| WildBench | 83.8% | 78.8% |
| LMArena Multi-Turn | 1376 | 1270 |
| Short-Story Creative Writing | 81.4% | — |
Frequently asked questions
Is Claude Sonnet 4 better than Mistral Small 3.1?
Claude Sonnet 4 is the stronger model overall, scoring 40.8 to 31.7 on the Noometry Index. Mistral Small 3.1 costs 15× less per token, which makes it the better buy when Claude Sonnet 4's lead doesn't matter for your workload.
Which is cheaper, Claude Sonnet 4 or Mistral Small 3.1?
Mistral Small 3.1 is cheaper. It lists at $0.35 per million input tokens and $0.56 per million output tokens; Claude Sonnet 4 lists at $3 and $15.
Is Claude Sonnet 4 or Mistral Small 3.1 better for coding?
Claude Sonnet 4 scores higher on coding benchmarks: 43.5 versus 38.3 in the Noometry coding category.
Which has the bigger context window?
Claude Sonnet 4 does, with 200K tokens against 128K.
How many benchmarks do Claude Sonnet 4 and Mistral Small 3.1 share?
27 benchmarks have published results for both models. Claude Sonnet 4 has 58 scored results on Noometry and Mistral Small 3.1 has 28.