# Claude Sonnet 5.5 vs Mixtral 8x22B

> Claude Sonnet 5.5 is the stronger model overall, scoring 60.5 to 26.7 on the Noometry Index.

- Canonical page: https://noometry.com/compare/claude-sonnet-5-5-vs-mixtral-8x22b
- Last updated: 2026-10-10
- Shared benchmarks: 1

## Summary

- They share 1 benchmark with published results for both. Claude Sonnet 5.5 scores higher in 5 categories and Mixtral 8x22B in 0 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in math, where Claude Sonnet 5.5 leads 88.7 to 21.2.
- The biggest single-benchmark swing is GPQA Diamond: 95.6% for Claude Sonnet 5.5 and 34.1% for Mixtral 8x22B.
- Mixtral 8x22B is cheaper at $2 / $6 per million input/output tokens, against $2 / $10 for Claude Sonnet 5.5.
- Claude Sonnet 5.5 accepts more context: 1M tokens versus 64K.
- Mixtral 8x22B has downloadable open weights; the other is API-only.

## Snapshot

| | Claude Sonnet 5.5 | Mixtral 8x22B |
|---|---|---|
| Provider | Anthropic | Mistral AI |
| Noometry Index | 60.5 | 26.7 |
| Rank | 10 | 330 |
| Context | 1M | 64K |
| Input $/M | $2 | $2 |
| Output $/M | $10 | $6 |
| Weights | Proprietary | Open |

## Coding

- Claude Sonnet 5.5: 65.5 (#6)
- Mixtral 8x22B: 23.8 (#324)

| Benchmark | Claude Sonnet 5.5 | Mixtral 8x22B |
|---|---|---|
| FrontierCode | 52.1% | — |
| CursorBench | 55.5% | — |
| LMArena WebDev | 1699 | — |
| FrontierSWE | 61.9% | — |
| SciCode | 61% | — |
| WeirdML | — | 3.2% |
| BigCodeBench Instruct | — | 40.6% |
| LMArena Coding | — | 1166 |
| BigCodeBench Complete | — | 50.2% |
| ALE-Bench | 1,819 | — |
| HumanEval+ | — | 72% |
| MBPP+ | — | 64.3% |

## Agentic & Tool Use

- Claude Sonnet 5.5: 44.9 (#14)
- Mixtral 8x22B: 22.8 (#119)

| Benchmark | Claude Sonnet 5.5 | Mixtral 8x22B |
|---|---|---|
| APEX-Agents | 75.5% | — |
| Cybench | — | 7.5% |

## Reasoning

- Claude Sonnet 5.5: 52.4 (#29)
- Mixtral 8x22B: 19.1 (#246)

| Benchmark | Claude Sonnet 5.5 | Mixtral 8x22B |
|---|---|---|
| CritPt | 31.4% | — |
| LMArena Hard Prompts | — | 1150 |
| Mystery Game Puzzles | 65% | — |
| DTBench | — | 55.1% |
| Epoch Capabilities Index | — | 122 |
| ForecastBench | — | 56.3 |

## Math

- Claude Sonnet 5.5: 88.7 (#4)
- Mixtral 8x22B: 21.2 (#271)

| Benchmark | Claude Sonnet 5.5 | Mixtral 8x22B |
|---|---|---|
| FrontierMath (Tiers 1-3) | 88.8% | — |
| FrontierMath Tier 4 | 80.5% | — |
| OTIS Mock AIME 2024-2025 | 100% | — |
| ProofBench | 100% | — |
| Omni-MATH | — | 16.3% |
| LMArena Math | — | 1184 |
| MATH Level 5 | — | 24.2% |

## Knowledge

- Claude Sonnet 5.5: 66.0 (#11)
- Mixtral 8x22B: 15.1 (#288)

| Benchmark | Claude Sonnet 5.5 | Mixtral 8x22B |
|---|---|---|
| GPQA Diamond | 95.6% | 34.1% |
| SimpleQA Verified | 46.5% | — |
| MMLU-Pro | — | 46% |
| GPQA (HELM) | — | 33.4% |
| LMArena Expert | — | 1113 |
| MMLU | — | 77.8% |

## Multimodal

- Claude Sonnet 5.5: 53.2 (#5)
- Mixtral 8x22B: —

| Benchmark | Claude Sonnet 5.5 | Mixtral 8x22B |
|---|---|---|
| Furniture Assembly | 75% | — |

## Multilingual

- Claude Sonnet 5.5: —
- Mixtral 8x22B: 32.9 (#250)

| Benchmark | Claude Sonnet 5.5 | Mixtral 8x22B |
|---|---|---|
| LMArena Non-English | — | 1128 |
| LMArena Chinese | — | 1116 |
| LMArena French | — | 1165 |
| LMArena German | — | 1141 |
| LMArena Japanese | — | 1037 |
| LMArena Korean | — | 1056 |
| LMArena Russian | — | 1158 |
| LMArena Spanish | — | 1150 |

## Instruction Following

- Claude Sonnet 5.5: —
- Mixtral 8x22B: 57.9 (#261)

| Benchmark | Claude Sonnet 5.5 | Mixtral 8x22B |
|---|---|---|
| IFEval | — | 72.4% |
| LMArena Instruction Following | — | 1147 |

## Long Context

- Claude Sonnet 5.5: —
- Mixtral 8x22B: 34.6 (#242)

| Benchmark | Claude Sonnet 5.5 | Mixtral 8x22B |
|---|---|---|
| LMArena Longer Query | — | 1144 |

## Writing & Preference

- Claude Sonnet 5.5: —
- Mixtral 8x22B: 37.1 (#257)

| Benchmark | Claude Sonnet 5.5 | Mixtral 8x22B |
|---|---|---|
| LMArena Text | — | 1162 |
| LMArena Creative Writing | — | 1141 |
| WildBench | — | 71.1% |
| LMArena Multi-Turn | — | 1130 |

## FAQ

### Is Claude Sonnet 5.5 better than Mixtral 8x22B?

Claude Sonnet 5.5 is the stronger model overall, scoring 60.5 to 26.7 on the Noometry Index.

### Which is cheaper, Claude Sonnet 5.5 or Mixtral 8x22B?

Mixtral 8x22B is cheaper. It lists at $2 per million input tokens and $6 per million output tokens; Claude Sonnet 5.5 lists at $2 and $10.

### Is Claude Sonnet 5.5 or Mixtral 8x22B better for coding?

Claude Sonnet 5.5 scores higher on coding benchmarks: 65.5 versus 23.8 in the Noometry coding category.

### Which has the bigger context window?

Claude Sonnet 5.5 does, with 1M tokens against 64K.

### How many benchmarks do Claude Sonnet 5.5 and Mixtral 8x22B share?

1 benchmark has published results for both models. Claude Sonnet 5.5 has 16 scored results on Noometry and Mixtral 8x22B has 34.