Model comparison
Claude Opus 4.1 vs Mistral 7B
Claude Opus 4.1 is the stronger model overall, scoring 41.0 to 23.0 on the Noometry Index. Mistral 7B costs 120× less per token, which makes it the better buy when Claude Opus 4.1'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 4.1 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 4.1 leads 42.0 to 7.4.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 68.9% for Claude Opus 4.1 and 0.3% for Mistral 7B.
- Mistral 7B is cheaper at $0.25 / $0.25 per million input/output tokens, against $15 / $75 for Claude Opus 4.1.
- Claude Opus 4.1 accepts more context: 200K tokens versus 8K.
- Mistral 7B has downloadable open weights; the other is API-only.
Side by side
| Claude Opus 4.1 | Mistral 7B | |
|---|---|---|
| Provider | Anthropic | Mistral AI |
| Noometry Index | 41.0 | 23.0 |
| Released | 2025-08-05 | 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 | 48 | 37 |
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Category by category
Coding Claude Opus 4.1 leads
Claude Opus 4.1: 44.4 (#73), Mistral 7B: 26.4 (#326)
| Benchmark | Claude Opus 4.1 | Mistral 7B |
|---|---|---|
| LMArena Coding | 1479 | 1082 |
| SWE-bench Verified | 73.3% | — |
| LMArena WebDev | 1390 | — |
| WeirdML | 45.9% | — |
| BigCodeBench Instruct | — | 19.5% |
| BigCodeBench Complete | — | 27.3% |
| ALE-Bench | 674.77 | — |
| AlgoTune | 1.34 | — |
| HumanEval+ | — | 36% |
| MBPP+ | — | 42.1% |
Agentic & Tool Use Not comparable
Claude Opus 4.1: 35.0 (#41), Mistral 7B: —
| Benchmark | Claude Opus 4.1 | Mistral 7B |
|---|---|---|
| Terminal-Bench | 38% | — |
| GDPval | 43.6% | — |
| Cybench | 42% | — |
| DeepResearch Bench | 48.3% | — |
| LMArena Search | 1148 | — |
| METR Time Horizons | 66.8% | — |
Reasoning Claude Opus 4.1 leads
Claude Opus 4.1: 32.2 (#76), Mistral 7B: 13.1 (#336)
| Benchmark | Claude Opus 4.1 | Mistral 7B |
|---|---|---|
| Chess Puzzles | 7% | 0% |
| LMArena Hard Prompts | 1443 | 1067 |
| DTBench | 80% | 42.5% |
| Epoch Capabilities Index | 144.12 | 112.21 |
| SimpleBench | 60% | — |
| EnigmaEval | 7.2% | — |
| EBR-Bench | 7.9% | — |
| Mystery Game Puzzles | 21% | — |
| LMCA | 37.1% | — |
| Adversarial NLI | — | 47.1% |
| BIG-Bench Hard | — | 56.1% |
| ForecastBench | 62 | — |
| HellaSwag | — | 81% |
| PIQA | — | 83% |
| WinoGrande | — | 75.3% |
Math Claude Opus 4.1 leads
Claude Opus 4.1: 22.3 (#277), Mistral 7B: 8.1 (#325)
| Benchmark | Claude Opus 4.1 | Mistral 7B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 68.9% | 0.3% |
| LMArena Math | 1431 | 1085 |
| FrontierMath (Tiers 1-3) | 12.6% | — |
| FrontierMath Tier 4 | 2.4% | — |
| MATH Level 5 | — | 3.7% |
| FrontierMath (Feb 2025 set) | 7.2% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
| GSM8K | — | 54.4% |
Knowledge Claude Opus 4.1 leads
Claude Opus 4.1: 42.0 (#101), Mistral 7B: 7.4 (#311)
| Benchmark | Claude Opus 4.1 | Mistral 7B |
|---|---|---|
| GPQA Diamond | 77.3% | 15.2% |
| LMArena Expert | 1439 | 1036 |
| Humanity's Last Exam | 11.5% | — |
| Confabulations | 17.1% | — |
| Vectara Hallucination Rate | 11.8% | — |
| ARC (AI2) Challenge | — | 78.6% |
| BoolQ | — | 87.4% |
| MMLU | — | 62.5% |
| OpenBookQA | — | 79.8% |
| TriviaQA | — | 75.2% |
Multimodal Not comparable
Claude Opus 4.1: 26.8 (#119), Mistral 7B: —
| Benchmark | Claude Opus 4.1 | Mistral 7B |
|---|---|---|
| VPCT | 35% | — |
Multilingual Claude Opus 4.1 leads
Claude Opus 4.1: 52.0 (#95), Mistral 7B: 25.8 (#283)
| Benchmark | Claude Opus 4.1 | Mistral 7B |
|---|---|---|
| LMArena Non-English | 1405 | 1012 |
| LMArena Chinese | 1427 | 1009 |
| LMArena French | 1431 | 1037 |
| LMArena German | 1413 | 987 |
| LMArena Japanese | 1378 | 878 |
| LMArena Russian | 1422 | 1018 |
| LMArena Spanish | 1448 | 1026 |
| LMArena Korean | 1380 | — |
Instruction Following Claude Opus 4.1 leads
Claude Opus 4.1: 75.6 (#58), Mistral 7B: 54.2 (#280)
| Benchmark | Claude Opus 4.1 | Mistral 7B |
|---|---|---|
| LMArena Instruction Following | 1435 | 1060 |
Long Context Claude Opus 4.1 leads
Claude Opus 4.1: 44.5 (#63), Mistral 7B: 32.2 (#271)
| Benchmark | Claude Opus 4.1 | Mistral 7B |
|---|---|---|
| LMArena Longer Query | 1455 | 1060 |
Writing & Preference Claude Opus 4.1 leads
Claude Opus 4.1: 62.4 (#74), Mistral 7B: 30.7 (#286)
| Benchmark | Claude Opus 4.1 | Mistral 7B |
|---|---|---|
| LMArena Text | 1419 | 1090 |
| LMArena Creative Writing | 1412 | 1068 |
| LMArena Multi-Turn | 1444 | 1062 |
| Short-Story Creative Writing | 84.7% | — |
Frequently asked questions
Is Claude Opus 4.1 better than Mistral 7B?
Claude Opus 4.1 is the stronger model overall, scoring 41.0 to 23.0 on the Noometry Index. Mistral 7B costs 120× less per token, which makes it the better buy when Claude Opus 4.1's lead doesn't matter for your workload.
Which is cheaper, Claude Opus 4.1 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 4.1 lists at $15 and $75.
Is Claude Opus 4.1 or Mistral 7B better for coding?
Claude Opus 4.1 scores higher on coding benchmarks: 44.4 versus 26.4 in the Noometry coding category.
Which has the bigger context window?
Claude Opus 4.1 does, with 200K tokens against 8K.
How many benchmarks do Claude Opus 4.1 and Mistral 7B share?
21 benchmarks have published results for both models. Claude Opus 4.1 has 48 scored results on Noometry and Mistral 7B has 37.