Model comparison
Claude Opus 4 vs Mistral 7B
Claude Opus 4 is the stronger model overall, scoring 43.1 to 23.0 on the Noometry Index. Mistral 7B costs 120× less per token, which makes it the better buy when Claude Opus 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 Opus 4 scores higher in 8 categories and Mistral 7B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Claude Opus 4 leads 44.0 to 7.4.
- The biggest single-benchmark swing is MATH Level 5: 85% for Claude Opus 4 and 3.7% for Mistral 7B.
- Mistral 7B is cheaper at $0.25 / $0.25 per million input/output tokens, against $15 / $75 for Claude Opus 4.
- Claude Opus 4 accepts more context: 200K tokens versus 8K.
- Mistral 7B has downloadable open weights; the other is API-only.
Side by side
| Claude Opus 4 | Mistral 7B | |
|---|---|---|
| Provider | Anthropic | Mistral AI |
| Noometry Index | 43.1 | 23.0 |
| Released | 2025-05-22 | 2023-09-27 |
| Weights | Proprietary | Open |
| Context window | 200K | 8K |
| Max output | 32K | 8K |
| Input $ / M tokens | $15 | $0.25 |
| Output $ / M tokens | $75 | $0.25 |
| Results tracked | 56 | 37 |
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Category by category
Coding Claude Opus 4 leads
Claude Opus 4: 47.2 (#62), Mistral 7B: 26.4 (#326)
| Benchmark | Claude Opus 4 | Mistral 7B |
|---|---|---|
| LMArena Coding | 1442 | 1082 |
| SWE-bench Verified | 70.7% | — |
| SWE-bench Verified (bash only) | 67.6% | — |
| Aider Polyglot | 72% | — |
| GSO | 6.9% | — |
| WeirdML | 43.7% | — |
| BigCodeBench Instruct | — | 19.5% |
| BigCodeBench Complete | — | 27.3% |
| AlgoTune | 1.33 | — |
| HumanEval+ | — | 36% |
| MBPP+ | — | 42.1% |
Agentic & Tool Use Not comparable
Claude Opus 4: 34.8 (#42), Mistral 7B: —
| Benchmark | Claude Opus 4 | Mistral 7B |
|---|---|---|
| Cybench | 38% | — |
| DeepResearch Bench | 46.8% | — |
| LMArena Search | 1127 | — |
| METR Time Horizons | 63.9% | — |
Reasoning Claude Opus 4 leads
Claude Opus 4: 27.3 (#121), Mistral 7B: 13.1 (#336)
| Benchmark | Claude Opus 4 | Mistral 7B |
|---|---|---|
| LMArena Hard Prompts | 1399 | 1067 |
| DTBench | 81.6% | 42.5% |
| Epoch Capabilities Index | 142.67 | 112.21 |
| ARC-AGI-2 | 8.6% | — |
| SimpleBench | 58.8% | — |
| Kagi LLM Benchmark | 74.3% | — |
| ARC-AGI-1 | 35.7% | — |
| CritPt | 0.3% | — |
| Chess Puzzles | — | 0% |
| EnigmaEval | 5.6% | — |
| LMCA | 37.4% | — |
| Adversarial NLI | — | 47.1% |
| BIG-Bench Hard | — | 56.1% |
| ForecastBench | 61.1 | — |
| HellaSwag | — | 81% |
| PIQA | — | 83% |
| WinoGrande | — | 75.3% |
Math Claude Opus 4 leads
Claude Opus 4: 42.0 (#86), Mistral 7B: 8.1 (#325)
| Benchmark | Claude Opus 4 | Mistral 7B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 64.4% | 0.3% |
| LMArena Math | 1390 | 1085 |
| MATH Level 5 | 85% | 3.7% |
| Omni-MATH | 61.6% | — |
| FrontierMath (Feb 2025 set) | 4.5% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
| GSM8K | — | 54.4% |
Knowledge Claude Opus 4 leads
Claude Opus 4: 44.0 (#88), Mistral 7B: 7.4 (#311)
| Benchmark | Claude Opus 4 | Mistral 7B |
|---|---|---|
| GPQA Diamond | 76.3% | 15.2% |
| LMArena Expert | 1386 | 1036 |
| Humanity's Last Exam | 10.7% | — |
| MMLU-Pro | 87.5% | — |
| Confabulations | 15.9% | — |
| Vectara Hallucination Rate | 12% | — |
| GPQA (HELM) | 70.8% | — |
| ARC (AI2) Challenge | — | 78.6% |
| BoolQ | — | 87.4% |
| MMLU | — | 62.5% |
| OpenBookQA | — | 79.8% |
| TriviaQA | — | 75.2% |
Multimodal Not comparable
Claude Opus 4: 31.5 (#106), Mistral 7B: —
| Benchmark | Claude Opus 4 | Mistral 7B |
|---|---|---|
| LMArena Vision | 1192 | — |
| GeoBench | 49% | — |
| VPCT | 38% | — |
Multilingual Claude Opus 4 leads
Claude Opus 4: 48.8 (#138), Mistral 7B: 25.8 (#283)
| Benchmark | Claude Opus 4 | Mistral 7B |
|---|---|---|
| LMArena Non-English | 1362 | 1012 |
| LMArena Chinese | 1386 | 1009 |
| LMArena French | 1372 | 1037 |
| LMArena German | 1391 | 987 |
| LMArena Japanese | 1331 | 878 |
| LMArena Russian | 1392 | 1018 |
| LMArena Spanish | 1389 | 1026 |
| LMArena Korean | 1321 | — |
Instruction Following Claude Opus 4 leads
Claude Opus 4: 77.1 (#28), Mistral 7B: 54.2 (#280)
| Benchmark | Claude Opus 4 | Mistral 7B |
|---|---|---|
| LMArena Instruction Following | 1406 | 1060 |
| IFEval | 91.8% | — |
Long Context Claude Opus 4 leads
Claude Opus 4: 39.6 (#172), Mistral 7B: 32.2 (#271)
| Benchmark | Claude Opus 4 | Mistral 7B |
|---|---|---|
| LMArena Longer Query | 1422 | 1060 |
| Fiction.LiveBench | 61.1% | — |
Writing & Preference Claude Opus 4 leads
Claude Opus 4: 61.2 (#89), Mistral 7B: 30.7 (#286)
| Benchmark | Claude Opus 4 | Mistral 7B |
|---|---|---|
| LMArena Text | 1377 | 1090 |
| LMArena Creative Writing | 1387 | 1068 |
| LMArena Multi-Turn | 1396 | 1062 |
| Short-Story Creative Writing | 83.6% | — |
| EQ-Bench Creative Writing | 1580 | — |
| WildBench | 85.2% | — |
Frequently asked questions
Is Claude Opus 4 better than Mistral 7B?
Claude Opus 4 is the stronger model overall, scoring 43.1 to 23.0 on the Noometry Index. Mistral 7B costs 120× less per token, which makes it the better buy when Claude Opus 4's lead doesn't matter for your workload.
Which is cheaper, Claude Opus 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 Opus 4 lists at $15 and $75.
Is Claude Opus 4 or Mistral 7B better for coding?
Claude Opus 4 scores higher on coding benchmarks: 47.2 versus 26.4 in the Noometry coding category.
Which has the bigger context window?
Claude Opus 4 does, with 200K tokens against 8K.
How many benchmarks do Claude Opus 4 and Mistral 7B share?
21 benchmarks have published results for both models. Claude Opus 4 has 56 scored results on Noometry and Mistral 7B has 37.