# Claude Sonnet 5 vs Mixtral 8x22B

> Claude Sonnet 5 is the stronger model overall, scoring 54.5 to 26.7 on the Noometry Index.

- Canonical page: https://noometry.com/compare/claude-sonnet-5-vs-mixtral-8x22b
- Last updated: 2026-10-10
- Shared benchmarks: 22

## Summary

- They share 22 benchmarks with published results for both. Claude Sonnet 5 scores higher in 9 categories and Mixtral 8x22B in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where Claude Sonnet 5 leads 66.1 to 21.2.
- The biggest single-benchmark swing is WeirdML: 68.8% for Claude Sonnet 5 and 3.2% for Mixtral 8x22B.
- Mixtral 8x22B is cheaper at $2 / $6 per million input/output tokens, against $2 / $10 for Claude Sonnet 5.
- Claude Sonnet 5 accepts more context: 1M tokens versus 64K.
- Mixtral 8x22B has downloadable open weights; the other is API-only.

## Snapshot

| | Claude Sonnet 5 | Mixtral 8x22B |
|---|---|---|
| Provider | Anthropic | Mistral AI |
| Noometry Index | 54.5 | 26.7 |
| Rank | 26 | 330 |
| Context | 1M | 64K |
| Input $/M | $2 | $2 |
| Output $/M | $10 | $6 |
| Weights | Proprietary | Open |

## Coding

- Claude Sonnet 5: 55.5 (#20)
- Mixtral 8x22B: 23.8 (#324)

| Benchmark | Claude Sonnet 5 | Mixtral 8x22B |
|---|---|---|
| WeirdML | 68.8% | 3.2% |
| LMArena Coding | 1483 | 1166 |
| DeepSWE | 53.8% | — |
| FrontierCode | 42.7% | — |
| CursorBench | 34.1% | — |
| LMArena WebDev | 1540 | — |
| SciCode | 53.6% | — |
| GSO | 37.3% | — |
| BigCodeBench Instruct | — | 40.6% |
| BigCodeBench Complete | — | 50.2% |
| ALE-Bench | 1,463 | — |
| HumanEval+ | — | 72% |
| MBPP+ | — | 64.3% |

## Agentic & Tool Use

- Claude Sonnet 5: 42.7 (#16)
- Mixtral 8x22B: 22.8 (#119)

| Benchmark | Claude Sonnet 5 | Mixtral 8x22B |
|---|---|---|
| APEX-Agents | 54.5% | — |
| Cybench | — | 7.5% |
| GBAEval | 65.3% | — |
| LMArena Search | 1194 | — |
| Vending-Bench 2 | 6,378 | — |

## Reasoning

- Claude Sonnet 5: 48.2 (#37)
- Mixtral 8x22B: 19.1 (#246)

| Benchmark | Claude Sonnet 5 | Mixtral 8x22B |
|---|---|---|
| LMArena Hard Prompts | 1461 | 1150 |
| DTBench | 92.5% | 55.1% |
| Epoch Capabilities Index | 156.34 | 122 |
| ForecastBench | 61.1 | 56.3 |
| SimpleBench | 60.6% | — |
| NYT Connections (extended) | 75.1% | — |
| CritPt | 16.9% | — |
| Chess Puzzles | 35% | — |
| Mystery Game Puzzles | 35% | — |
| LMCA | 50% | — |
| Surface Evolver Bench | 60% | — |
| Bench to the Future 3 | 0.14 | — |

## Math

- Claude Sonnet 5: 66.1 (#21)
- Mixtral 8x22B: 21.2 (#271)

| Benchmark | Claude Sonnet 5 | Mixtral 8x22B |
|---|---|---|
| LMArena Math | 1467 | 1184 |
| FrontierMath (Tiers 1-3) | 65.6% | — |
| FrontierMath Tier 4 | 29.3% | — |
| OTIS Mock AIME 2024-2025 | 94.7% | — |
| ProofBench | 77% | — |
| Omni-MATH | — | 16.3% |
| MATH Level 5 | — | 24.2% |

## Knowledge

- Claude Sonnet 5: 55.7 (#42)
- Mixtral 8x22B: 15.1 (#288)

| Benchmark | Claude Sonnet 5 | Mixtral 8x22B |
|---|---|---|
| GPQA Diamond | 90.5% | 34.1% |
| LMArena Expert | 1491 | 1113 |
| SimpleQA Verified | 33.7% | — |
| MMLU-Pro | — | 46% |
| GPQA (HELM) | — | 33.4% |
| MMLU | — | 77.8% |

## Multimodal

- Claude Sonnet 5: 42.4 (#26)
- Mixtral 8x22B: —

| Benchmark | Claude Sonnet 5 | Mixtral 8x22B |
|---|---|---|
| LMArena Vision | 1275 | — |
| Blueprint-Bench 2 | 24.9% | — |
| LMArena Document | 1466 | — |

## Multilingual

- Claude Sonnet 5: 54.0 (#55)
- Mixtral 8x22B: 32.9 (#250)

| Benchmark | Claude Sonnet 5 | Mixtral 8x22B |
|---|---|---|
| LMArena Non-English | 1431 | 1128 |
| LMArena Chinese | 1475 | 1116 |
| LMArena French | 1457 | 1165 |
| LMArena German | 1448 | 1141 |
| LMArena Japanese | 1422 | 1037 |
| LMArena Korean | 1411 | 1056 |
| LMArena Russian | 1452 | 1158 |
| LMArena Spanish | 1436 | 1150 |

## Instruction Following

- Claude Sonnet 5: 76.6 (#39)
- Mixtral 8x22B: 57.9 (#261)

| Benchmark | Claude Sonnet 5 | Mixtral 8x22B |
|---|---|---|
| LMArena Instruction Following | 1453 | 1147 |
| IFEval | — | 72.4% |

## Long Context

- Claude Sonnet 5: 44.8 (#53)
- Mixtral 8x22B: 34.6 (#242)

| Benchmark | Claude Sonnet 5 | Mixtral 8x22B |
|---|---|---|
| LMArena Longer Query | 1464 | 1144 |

## Writing & Preference

- Claude Sonnet 5: 69.4 (#24)
- Mixtral 8x22B: 37.1 (#257)

| Benchmark | Claude Sonnet 5 | Mixtral 8x22B |
|---|---|---|
| LMArena Text | 1443 | 1162 |
| LMArena Creative Writing | 1416 | 1141 |
| LMArena Multi-Turn | 1454 | 1130 |
| EQ-Bench Creative Writing | 1794 | — |
| WildBench | — | 71.1% |
| EQ-Bench 4 | 1236 | — |

## FAQ

### Is Claude Sonnet 5 better than Mixtral 8x22B?

Claude Sonnet 5 is the stronger model overall, scoring 54.5 to 26.7 on the Noometry Index.

### Which is cheaper, Claude Sonnet 5 or Mixtral 8x22B?

Mixtral 8x22B is cheaper. It lists at $2 per million input tokens and $6 per million output tokens; Claude Sonnet 5 lists at $2 and $10.

### Is Claude Sonnet 5 or Mixtral 8x22B better for coding?

Claude Sonnet 5 scores higher on coding benchmarks: 55.5 versus 23.8 in the Noometry coding category.

### Which has the bigger context window?

Claude Sonnet 5 does, with 1M tokens against 64K.

### How many benchmarks do Claude Sonnet 5 and Mixtral 8x22B share?

22 benchmarks have published results for both models. Claude Sonnet 5 has 51 scored results on Noometry and Mixtral 8x22B has 34.