# Claude Opus 4.7 vs Mistral 7B

> Claude Opus 4.7 is the stronger model overall, scoring 58.3 to 23.0 on the Noometry Index. Mistral 7B costs 40× less per token, which makes it the better buy when Claude Opus 4.7's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/claude-opus-4-7-vs-mistral-7b
- Last updated: 2026-10-12
- Shared benchmarks: 21

## Summary

- They share 21 benchmarks with published results for both. Claude Opus 4.7 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 Opus 4.7 leads 66.7 to 8.1.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 97.8% for Claude Opus 4.7 and 0.3% for Mistral 7B.
- Mistral 7B is cheaper at $0.25 / $0.25 per million input/output tokens, against $5 / $25 for Claude Opus 4.7.
- Claude Opus 4.7 accepts more context: 1M tokens versus 8K.
- Mistral 7B has downloadable open weights; the other is API-only.

## Snapshot

| | Claude Opus 4.7 | Mistral 7B |
|---|---|---|
| Provider | Anthropic | Mistral AI |
| Noometry Index | 58.3 | 23.0 |
| Rank | 19 | 351 |
| Context | 1M | 8K |
| Input $/M | $5 | $0.25 |
| Output $/M | $25 | $0.25 |
| Weights | Proprietary | Open |

## Coding

- Claude Opus 4.7: 59.6 (#13)
- Mistral 7B: 26.4 (#326)

| Benchmark | Claude Opus 4.7 | Mistral 7B |
|---|---|---|
| LMArena Coding | 1518 | 1082 |
| SWE-bench Verified | 83.5% | — |
| FrontierCode | 38.5% | — |
| LMArena WebDev | 1558 | — |
| SciCode | 54.5% | — |
| GSO | 44.1% | — |
| WeirdML | 76.4% | — |
| BigCodeBench Instruct | — | 19.5% |
| MirrorCode | 31.1% | — |
| BigCodeBench Complete | — | 27.3% |
| ALE-Bench | 1,323 | — |
| HumanEval+ | — | 36% |
| MBPP+ | — | 42.1% |

## Agentic & Tool Use

- Claude Opus 4.7: 47.9 (#10)
- Mistral 7B: —

| Benchmark | Claude Opus 4.7 | Mistral 7B |
|---|---|---|
| Terminal-Bench | 80.2% | — |
| APEX-Agents | 49.2% | — |
| OSWorld 2.0 | 18.2% | — |
| τ²-bench Banking | 40.2% | — |
| PostTrainBench | 28.6% | — |
| ExploitBench | 26.5% | — |
| GBAEval | 43.8% | — |
| GDP.pdf | 21% | — |
| LMArena Search | 1233 | — |
| Vending-Bench 2 | 10,937 | — |

## Reasoning

- Claude Opus 4.7: 53.8 (#29)
- Mistral 7B: 13.1 (#336)

| Benchmark | Claude Opus 4.7 | Mistral 7B |
|---|---|---|
| Chess Puzzles | 30% | 0% |
| LMArena Hard Prompts | 1506 | 1067 |
| DTBench | 94.7% | 42.5% |
| Epoch Capabilities Index | 156.25 | 112.21 |
| ARC-AGI-2 | 75.8% | — |
| SimpleBench | 61.7% | — |
| Kagi LLM Benchmark | 80.7% | — |
| NYT Connections (extended) | 39% | — |
| ARC-AGI-1 | 93.5% | — |
| CritPt | 12% | — |
| Thematic Generalization | 72.8% | — |
| EBR-Bench | 19% | — |
| Mystery Game Puzzles | 28% | — |
| LMCA | 52.2% | — |
| Adversarial NLI | — | 47.1% |
| BIG-Bench Hard | — | 56.1% |
| ForecastBench | 60.3 | — |
| HellaSwag | — | 81% |
| PIQA | — | 83% |
| WinoGrande | — | 75.3% |

## Math

- Claude Opus 4.7: 66.7 (#26)
- Mistral 7B: 8.1 (#325)

| Benchmark | Claude Opus 4.7 | Mistral 7B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 97.8% | 0.3% |
| LMArena Math | 1499 | 1085 |
| FrontierMath (Tiers 1-3) | 70.2% | — |
| FrontierMath Tier 4 | 31.7% | — |
| MathArena Final-Answer Competitions | 73.6% | — |
| ProofBench | 54% | — |
| MATH Level 5 | — | 3.7% |
| FrontierMath (Feb 2025 set) | 43.8% | — |
| FrontierMath Tier 4 (v1) | 22.9% | — |
| GSM8K | — | 54.4% |

## Knowledge

- Claude Opus 4.7: 62.6 (#23)
- Mistral 7B: 7.4 (#311)

| Benchmark | Claude Opus 4.7 | Mistral 7B |
|---|---|---|
| GPQA Diamond | 90.2% | 15.2% |
| LMArena Expert | 1521 | 1036 |
| Humanity's Last Exam | 36.2% | — |
| SimpleQA Verified | 51.7% | — |
| Vectara Hallucination Rate | 12% | — |
| ARC (AI2) Challenge | — | 78.6% |
| BoolQ | — | 87.4% |
| MMLU | — | 62.5% |
| OpenBookQA | — | 79.8% |
| TriviaQA | — | 75.2% |

## Multimodal

- Claude Opus 4.7: 41.2 (#38)
- Mistral 7B: —

| Benchmark | Claude Opus 4.7 | Mistral 7B |
|---|---|---|
| LMArena Vision | 1316 | — |
| Blueprint-Bench 2 | 24.5% | — |
| Furniture Assembly | 33.3% | — |
| LMArena Document | 1495 | — |

## Multilingual

- Claude Opus 4.7: 57.3 (#10)
- Mistral 7B: 25.8 (#283)

| Benchmark | Claude Opus 4.7 | Mistral 7B |
|---|---|---|
| LMArena Non-English | 1480 | 1012 |
| LMArena Chinese | 1531 | 1009 |
| LMArena French | 1503 | 1037 |
| LMArena German | 1495 | 987 |
| LMArena Japanese | 1472 | 878 |
| LMArena Russian | 1494 | 1018 |
| LMArena Spanish | 1495 | 1026 |
| LMArena Korean | 1464 | — |

## Instruction Following

- Claude Opus 4.7: 78.4 (#10)
- Mistral 7B: 54.2 (#280)

| Benchmark | Claude Opus 4.7 | Mistral 7B |
|---|---|---|
| LMArena Instruction Following | 1498 | 1060 |

## Long Context

- Claude Opus 4.7: 46.2 (#25)
- Mistral 7B: 32.2 (#271)

| Benchmark | Claude Opus 4.7 | Mistral 7B |
|---|---|---|
| LMArena Longer Query | 1505 | 1060 |

## Writing & Preference

- Claude Opus 4.7: 75.1 (#8)
- Mistral 7B: 30.7 (#286)

| Benchmark | Claude Opus 4.7 | Mistral 7B |
|---|---|---|
| LMArena Text | 1490 | 1090 |
| LMArena Creative Writing | 1486 | 1068 |
| LMArena Multi-Turn | 1505 | 1062 |
| EQ-Bench Creative Writing | 1914 | — |
| EQ-Bench 4 | 1311 | — |

## FAQ

### Is Claude Opus 4.7 better than Mistral 7B?

Claude Opus 4.7 is the stronger model overall, scoring 58.3 to 23.0 on the Noometry Index. Mistral 7B costs 40× less per token, which makes it the better buy when Claude Opus 4.7's lead doesn't matter for your workload.

### Which is cheaper, Claude Opus 4.7 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 4.7 lists at $5 and $25.

### Is Claude Opus 4.7 or Mistral 7B better for coding?

Claude Opus 4.7 scores higher on coding benchmarks: 59.6 versus 26.4 in the Noometry coding category.

### Which has the bigger context window?

Claude Opus 4.7 does, with 1M tokens against 8K.

### How many benchmarks do Claude Opus 4.7 and Mistral 7B share?

21 benchmarks have published results for both models. Claude Opus 4.7 has 66 scored results on Noometry and Mistral 7B has 37.