Model comparison
Claude Sonnet 4 vs Mistral 7B
Claude Sonnet 4 is the stronger model overall, scoring 40.8 to 23.0 on the Noometry Index. Mistral 7B costs 24× less per token, which makes it the better buy when Claude Sonnet 4's lead doesn't matter for your workload.
Last verified . 21 shared benchmarks.
Mistral AISummary
- They share 21 benchmarks with published results for both. Claude Sonnet 4 scores higher in 8 categories and Mistral 7B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Claude Sonnet 4 leads 43.3 to 8.1.
- The biggest single-benchmark swing is MATH Level 5: 84.4% for Claude Sonnet 4 and 3.7% for Mistral 7B.
- Mistral 7B is cheaper at $0.25 / $0.25 per million input/output tokens, against $3 / $15 for Claude Sonnet 4.
- Claude Sonnet 4 accepts more context: 200K tokens versus 8K.
- Mistral 7B has downloadable open weights; the other is API-only.
Side by side
| Claude Sonnet 4 | Mistral 7B | |
|---|---|---|
| Provider | Anthropic | Mistral AI |
| Noometry Index | 40.8 | 23.0 |
| Released | 2025-05-22 | 2023-09-27 |
| Weights | Proprietary | Open |
| Context window | 200K | 8K |
| Max output | 64K | 8K |
| Input $ / M tokens | $3 | $0.25 |
| Output $ / M tokens | $15 | $0.25 |
| Results tracked | 58 | 37 |
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Category by category
Coding Claude Sonnet 4 leads
Claude Sonnet 4: 43.5 (#88), Mistral 7B: 26.4 (#326)
| Benchmark | Claude Sonnet 4 | Mistral 7B |
|---|---|---|
| LMArena Coding | 1414 | 1082 |
| SWE-bench Verified (bash only) | 64.9% | — |
| Aider Polyglot | 61.3% | — |
| SciCode | 40% | — |
| GSO | 4.9% | — |
| WeirdML | 46.1% | — |
| BigCodeBench Instruct | — | 19.5% |
| BigCodeBench Complete | — | 27.3% |
| ALE-Bench | 655.35 | — |
| HumanEval+ | — | 36% |
| MBPP+ | — | 42.1% |
Agentic & Tool Use Not comparable
Claude Sonnet 4: 38.5 (#31), Mistral 7B: —
| Benchmark | Claude Sonnet 4 | Mistral 7B |
|---|---|---|
| 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 7B: 13.1 (#336)
| Benchmark | Claude Sonnet 4 | Mistral 7B |
|---|---|---|
| LMArena Hard Prompts | 1372 | 1067 |
| DTBench | 77.1% | 42.5% |
| Epoch Capabilities Index | 141.69 | 112.21 |
| ARC-AGI-2 | 5.9% | — |
| SimpleBench | 45.5% | — |
| Kagi LLM Benchmark | 73% | — |
| ARC-AGI-1 | 40% | — |
| CritPt | 0.3% | — |
| Chess Puzzles | — | 0% |
| EnigmaEval | 3.1% | — |
| LMCA | 29% | — |
| Adversarial NLI | — | 47.1% |
| BIG-Bench Hard | — | 56.1% |
| ForecastBench | 60.2 | — |
| HellaSwag | — | 81% |
| PIQA | — | 83% |
| WinoGrande | — | 75.3% |
Math Claude Sonnet 4 leads
Claude Sonnet 4: 43.3 (#80), Mistral 7B: 8.1 (#325)
| Benchmark | Claude Sonnet 4 | Mistral 7B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 71.1% | 0.3% |
| LMArena Math | 1375 | 1085 |
| MATH Level 5 | 84.4% | 3.7% |
| Omni-MATH | 60.2% | — |
| FrontierMath (Feb 2025 set) | 4.1% | — |
| FrontierMath Tier 4 (v1) | 0% | — |
| GSM8K | — | 54.4% |
Knowledge Claude Sonnet 4 leads
Claude Sonnet 4: 41.8 (#108), Mistral 7B: 7.4 (#311)
| Benchmark | Claude Sonnet 4 | Mistral 7B |
|---|---|---|
| GPQA Diamond | 79.2% | 15.2% |
| LMArena Expert | 1372 | 1036 |
| Humanity's Last Exam | 7.8% | — |
| MMLU-Pro | 84.3% | — |
| Confabulations | 13.2% | — |
| Vectara Hallucination Rate | 10.3% | — |
| GPQA (HELM) | 70.6% | — |
| ARC (AI2) Challenge | — | 78.6% |
| BoolQ | — | 87.4% |
| MMLU | — | 62.5% |
| OpenBookQA | — | 79.8% |
| TriviaQA | — | 75.2% |
Multimodal Not comparable
Claude Sonnet 4: 26.2 (#121), Mistral 7B: —
| Benchmark | Claude Sonnet 4 | Mistral 7B |
|---|---|---|
| LMArena Vision | 1191 | — |
| GeoBench | 37% | — |
| VPCT | 34% | — |
| MindCube | 44.8% | — |
Multilingual Claude Sonnet 4 leads
Claude Sonnet 4: 46.7 (#156), Mistral 7B: 25.8 (#283)
| Benchmark | Claude Sonnet 4 | Mistral 7B |
|---|---|---|
| LMArena Non-English | 1333 | 1012 |
| LMArena Chinese | 1350 | 1009 |
| LMArena French | 1363 | 1037 |
| LMArena German | 1331 | 987 |
| LMArena Japanese | 1302 | 878 |
| LMArena Russian | 1355 | 1018 |
| LMArena Spanish | 1357 | 1026 |
| LMArena Korean | 1291 | — |
Instruction Following Claude Sonnet 4 leads
Claude Sonnet 4: 71.7 (#145), Mistral 7B: 54.2 (#280)
| Benchmark | Claude Sonnet 4 | Mistral 7B |
|---|---|---|
| LMArena Instruction Following | 1376 | 1060 |
| IFEval | 84% | — |
Long Context Claude Sonnet 4 leads
Claude Sonnet 4: 33.7 (#259), Mistral 7B: 32.2 (#271)
| Benchmark | Claude Sonnet 4 | Mistral 7B |
|---|---|---|
| LMArena Longer Query | 1398 | 1060 |
| Fiction.LiveBench | 46.9% | — |
Writing & Preference Claude Sonnet 4 leads
Claude Sonnet 4: 57.1 (#132), Mistral 7B: 30.7 (#286)
| Benchmark | Claude Sonnet 4 | Mistral 7B |
|---|---|---|
| LMArena Text | 1351 | 1090 |
| LMArena Creative Writing | 1345 | 1068 |
| LMArena Multi-Turn | 1376 | 1062 |
| Short-Story Creative Writing | 81.4% | — |
| EQ-Bench Creative Writing | 1483 | — |
| WildBench | 83.8% | — |
Frequently asked questions
Is Claude Sonnet 4 better than Mistral 7B?
Claude Sonnet 4 is the stronger model overall, scoring 40.8 to 23.0 on the Noometry Index. Mistral 7B costs 24× 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 7B?
Mistral 7B is cheaper. It lists at $0.25 per million input tokens and $0.25 per million output tokens; Claude Sonnet 4 lists at $3 and $15.
Is Claude Sonnet 4 or Mistral 7B better for coding?
Claude Sonnet 4 scores higher on coding benchmarks: 43.5 versus 26.4 in the Noometry coding category.
Which has the bigger context window?
Claude Sonnet 4 does, with 200K tokens against 8K.
How many benchmarks do Claude Sonnet 4 and Mistral 7B share?
21 benchmarks have published results for both models. Claude Sonnet 4 has 58 scored results on Noometry and Mistral 7B has 37.