# Claude Sonnet 5 vs Mistral 7B

> Claude Sonnet 5 is the stronger model overall, scoring 54.6 to 23.0 on the Noometry Index. Mistral 7B costs 16× less per token, which makes it the better buy when Claude Sonnet 5's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/claude-sonnet-5-vs-mistral-7b
- Last updated: 2026-10-11
- Shared benchmarks: 21

## Summary

- They share 21 benchmarks with published results for both. Claude Sonnet 5 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 5 leads 66.2 to 8.1.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 94.7% for Claude Sonnet 5 and 0.3% for Mistral 7B.
- Mistral 7B is cheaper at $0.25 / $0.25 per million input/output tokens, against $2 / $10 for Claude Sonnet 5.
- Claude Sonnet 5 accepts more context: 1M tokens versus 8K.
- Mistral 7B has downloadable open weights; the other is API-only.

## Snapshot

| | Claude Sonnet 5 | Mistral 7B |
|---|---|---|
| Provider | Anthropic | Mistral AI |
| Noometry Index | 54.6 | 23.0 |
| Rank | 29 | 351 |
| Context | 1M | 8K |
| Input $/M | $2 | $0.25 |
| Output $/M | $10 | $0.25 |
| Weights | Proprietary | Open |

## Coding

- Claude Sonnet 5: 55.5 (#26)
- Mistral 7B: 26.4 (#326)

| Benchmark | Claude Sonnet 5 | Mistral 7B |
|---|---|---|
| LMArena Coding | 1483 | 1082 |
| DeepSWE | 53.8% | — |
| FrontierCode | 42.7% | — |
| CursorBench | 34.1% | — |
| LMArena WebDev | 1541 | — |
| SciCode | 54.3% | — |
| GSO | 37.3% | — |
| WeirdML | 68.8% | — |
| BigCodeBench Instruct | — | 19.5% |
| BigCodeBench Complete | — | 27.3% |
| ALE-Bench | 1,463 | — |
| HumanEval+ | — | 36% |
| MBPP+ | — | 42.1% |

## Agentic & Tool Use

- Claude Sonnet 5: 42.8 (#18)
- Mistral 7B: —

| Benchmark | Claude Sonnet 5 | Mistral 7B |
|---|---|---|
| APEX-Agents | 54.5% | — |
| GBAEval | 65.3% | — |
| LMArena Search | 1194 | — |
| Vending-Bench 2 | 6,378 | — |

## Reasoning

- Claude Sonnet 5: 49.1 (#39)
- Mistral 7B: 13.1 (#336)

| Benchmark | Claude Sonnet 5 | Mistral 7B |
|---|---|---|
| Chess Puzzles | 35% | 0% |
| LMArena Hard Prompts | 1461 | 1067 |
| DTBench | 92.5% | 42.5% |
| Epoch Capabilities Index | 156.21 | 112.21 |
| SimpleBench | 60.6% | — |
| NYT Connections (extended) | 75.1% | — |
| CritPt | 16.9% | — |
| Mystery Game Puzzles | 35% | — |
| LMCA | 50% | — |
| Surface Evolver Bench | 60% | — |
| Adversarial NLI | — | 47.1% |
| Bench to the Future 3 | 0.14 | — |
| BIG-Bench Hard | — | 56.1% |
| ForecastBench | 61.1 | — |
| HellaSwag | — | 81% |
| PIQA | — | 83% |
| WinoGrande | — | 75.3% |

## Math

- Claude Sonnet 5: 66.2 (#27)
- Mistral 7B: 8.1 (#325)

| Benchmark | Claude Sonnet 5 | Mistral 7B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 94.7% | 0.3% |
| LMArena Math | 1467 | 1085 |
| FrontierMath (Tiers 1-3) | 65.6% | — |
| FrontierMath Tier 4 | 29.3% | — |
| ProofBench | 77% | — |
| MATH Level 5 | — | 3.7% |
| GSM8K | — | 54.4% |

## Knowledge

- Claude Sonnet 5: 55.6 (#47)
- Mistral 7B: 7.4 (#311)

| Benchmark | Claude Sonnet 5 | Mistral 7B |
|---|---|---|
| GPQA Diamond | 90.5% | 15.2% |
| LMArena Expert | 1490 | 1036 |
| SimpleQA Verified | 33.7% | — |
| ARC (AI2) Challenge | — | 78.6% |
| BoolQ | — | 87.4% |
| MMLU | — | 62.5% |
| OpenBookQA | — | 79.8% |
| TriviaQA | — | 75.2% |

## Multimodal

- Claude Sonnet 5: 42.4 (#31)
- Mistral 7B: —

| Benchmark | Claude Sonnet 5 | Mistral 7B |
|---|---|---|
| LMArena Vision | 1274 | — |
| Blueprint-Bench 2 | 24.9% | — |
| LMArena Document | 1466 | — |

## Multilingual

- Claude Sonnet 5: 53.8 (#55)
- Mistral 7B: 25.8 (#283)

| Benchmark | Claude Sonnet 5 | Mistral 7B |
|---|---|---|
| LMArena Non-English | 1431 | 1012 |
| LMArena Chinese | 1477 | 1009 |
| LMArena French | 1460 | 1037 |
| LMArena German | 1440 | 987 |
| LMArena Japanese | 1422 | 878 |
| LMArena Russian | 1451 | 1018 |
| LMArena Spanish | 1437 | 1026 |
| LMArena Korean | 1411 | — |

## Instruction Following

- Claude Sonnet 5: 76.3 (#41)
- Mistral 7B: 54.2 (#280)

| Benchmark | Claude Sonnet 5 | Mistral 7B |
|---|---|---|
| LMArena Instruction Following | 1452 | 1060 |

## Long Context

- Claude Sonnet 5: 44.8 (#55)
- Mistral 7B: 32.2 (#271)

| Benchmark | Claude Sonnet 5 | Mistral 7B |
|---|---|---|
| LMArena Longer Query | 1463 | 1060 |

## Writing & Preference

- Claude Sonnet 5: 69.2 (#25)
- Mistral 7B: 30.7 (#286)

| Benchmark | Claude Sonnet 5 | Mistral 7B |
|---|---|---|
| LMArena Text | 1442 | 1090 |
| LMArena Creative Writing | 1416 | 1068 |
| LMArena Multi-Turn | 1454 | 1062 |
| EQ-Bench Creative Writing | 1794 | — |
| EQ-Bench 4 | 1236 | — |

## FAQ

### Is Claude Sonnet 5 better than Mistral 7B?

Claude Sonnet 5 is the stronger model overall, scoring 54.6 to 23.0 on the Noometry Index. Mistral 7B costs 16× less per token, which makes it the better buy when Claude Sonnet 5's lead doesn't matter for your workload.

### Which is cheaper, Claude Sonnet 5 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 5 lists at $2 and $10.

### Is Claude Sonnet 5 or Mistral 7B better for coding?

Claude Sonnet 5 scores higher on coding benchmarks: 55.5 versus 26.4 in the Noometry coding category.

### Which has the bigger context window?

Claude Sonnet 5 does, with 1M tokens against 8K.

### How many benchmarks do Claude Sonnet 5 and Mistral 7B share?

21 benchmarks have published results for both models. Claude Sonnet 5 has 51 scored results on Noometry and Mistral 7B has 37.