# Claude Opus 5.5 vs Mixtral 8x22B

> Claude Opus 5.5 is the stronger model overall, scoring 68.5 to 26.7 on the Noometry Index. Mixtral 8x22B costs 2.7× less per token, which makes it the better buy when Claude Opus 5.5's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/claude-opus-5-5-vs-mixtral-8x22b
- Last updated: 2026-10-10
- Shared benchmarks: 13

## Summary

- They share 13 benchmarks with published results for both. Claude Opus 5.5 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 Opus 5.5 leads 92.4 to 21.2.
- The biggest single-benchmark swing is GPQA Diamond: 90.6% for Claude Opus 5.5 and 34.1% for Mixtral 8x22B.
- Mixtral 8x22B is cheaper at $2 / $6 per million input/output tokens, against $4 / $20 for Claude Opus 5.5.
- Claude Opus 5.5 accepts more context: 1M tokens versus 64K.
- Mixtral 8x22B has downloadable open weights; the other is API-only.

## Snapshot

| | Claude Opus 5.5 | Mixtral 8x22B |
|---|---|---|
| Provider | Anthropic | Mistral AI |
| Noometry Index | 68.5 | 26.7 |
| Rank | 3 | 330 |
| Context | 1M | 64K |
| Input $/M | $4 | $2 |
| Output $/M | $20 | $6 |
| Weights | Proprietary | Open |

## Coding

- Claude Opus 5.5: 71.4 (#1)
- Mixtral 8x22B: 23.8 (#324)

| Benchmark | Claude Opus 5.5 | Mixtral 8x22B |
|---|---|---|
| LMArena Coding | 1545 | 1166 |
| FrontierCode | 54.4% | — |
| CursorBench | 57.8% | — |
| LMArena WebDev | 1820 | — |
| FrontierSWE | 62.3% | — |
| SciCode | 66.9% | — |
| WeirdML | — | 3.2% |
| BigCodeBench Instruct | — | 40.6% |
| MirrorCode | 77.4% | — |
| BigCodeBench Complete | — | 50.2% |
| HumanEval+ | — | 72% |
| MBPP+ | — | 64.3% |

## Agentic & Tool Use

- Claude Opus 5.5: 45.3 (#13)
- Mixtral 8x22B: 22.8 (#119)

| Benchmark | Claude Opus 5.5 | Mixtral 8x22B |
|---|---|---|
| APEX-Agents | 73.5% | — |
| Cybench | — | 7.5% |
| GDP.pdf | 30.6% | — |

## Reasoning

- Claude Opus 5.5: 79.5 (#2)
- Mixtral 8x22B: 19.1 (#246)

| Benchmark | Claude Opus 5.5 | Mixtral 8x22B |
|---|---|---|
| LMArena Hard Prompts | 1545 | 1150 |
| DTBench | 98.9% | 55.1% |
| ARC-AGI-2 | 92.5% | — |
| NYT Connections (extended) | 88.5% | — |
| ARC-AGI-1 | 97.5% | — |
| CritPt | 31.7% | — |
| EBR-Bench | 71.4% | — |
| Mystery Game Puzzles | 71% | — |
| LMCA | 68.2% | — |
| Epoch Capabilities Index | — | 122 |
| ForecastBench | — | 56.3 |

## Math

- Claude Opus 5.5: 92.4 (#2)
- Mixtral 8x22B: 21.2 (#271)

| Benchmark | Claude Opus 5.5 | Mixtral 8x22B |
|---|---|---|
| FrontierMath (Tiers 1-3) | 91.2% | — |
| FrontierMath Tier 4 | 95% | — |
| OTIS Mock AIME 2024-2025 | 100% | — |
| ProofBench | 100% | — |
| Omni-MATH | — | 16.3% |
| LMArena Math | — | 1184 |
| MATH Level 5 | — | 24.2% |

## Knowledge

- Claude Opus 5.5: 66.6 (#9)
- Mixtral 8x22B: 15.1 (#288)

| Benchmark | Claude Opus 5.5 | Mixtral 8x22B |
|---|---|---|
| GPQA Diamond | 90.6% | 34.1% |
| LMArena Expert | 1564 | 1113 |
| SimpleQA Verified | 72.2% | — |
| MMLU-Pro | — | 46% |
| GPQA (HELM) | — | 33.4% |
| MMLU | — | 77.8% |

## Multimodal

- Claude Opus 5.5: 56.5 (#2)
- Mixtral 8x22B: —

| Benchmark | Claude Opus 5.5 | Mixtral 8x22B |
|---|---|---|
| Furniture Assembly | 83.3% | — |

## Multilingual

- Claude Opus 5.5: 59.8 (#1)
- Mixtral 8x22B: 32.9 (#250)

| Benchmark | Claude Opus 5.5 | Mixtral 8x22B |
|---|---|---|
| LMArena Non-English | 1513 | 1128 |
| LMArena Chinese | 1572 | 1116 |
| LMArena Russian | 1532 | 1158 |
| LMArena French | — | 1165 |
| LMArena German | — | 1141 |
| LMArena Japanese | — | 1037 |
| LMArena Korean | — | 1056 |
| LMArena Spanish | — | 1150 |

## Instruction Following

- Claude Opus 5.5: 80.1 (#2)
- Mixtral 8x22B: 57.9 (#261)

| Benchmark | Claude Opus 5.5 | Mixtral 8x22B |
|---|---|---|
| LMArena Instruction Following | 1535 | 1147 |
| IFEval | — | 72.4% |

## Long Context

- Claude Opus 5.5: 47.3 (#18)
- Mixtral 8x22B: 34.6 (#242)

| Benchmark | Claude Opus 5.5 | Mixtral 8x22B |
|---|---|---|
| LMArena Longer Query | 1540 | 1144 |

## Writing & Preference

- Claude Opus 5.5: 78.7 (#3)
- Mixtral 8x22B: 37.1 (#257)

| Benchmark | Claude Opus 5.5 | Mixtral 8x22B |
|---|---|---|
| LMArena Text | 1518 | 1162 |
| LMArena Creative Writing | 1538 | 1141 |
| LMArena Multi-Turn | 1520 | 1130 |
| EQ-Bench Creative Writing | 2050 | — |
| WildBench | — | 71.1% |

## FAQ

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

Claude Opus 5.5 is the stronger model overall, scoring 68.5 to 26.7 on the Noometry Index. Mixtral 8x22B costs 2.7× less per token, which makes it the better buy when Claude Opus 5.5's lead doesn't matter for your workload.

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

Mixtral 8x22B is cheaper. It lists at $2 per million input tokens and $6 per million output tokens; Claude Opus 5.5 lists at $4 and $20.

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

Claude Opus 5.5 scores higher on coding benchmarks: 71.4 versus 23.8 in the Noometry coding category.

### Which has the bigger context window?

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

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

13 benchmarks have published results for both models. Claude Opus 5.5 has 35 scored results on Noometry and Mixtral 8x22B has 34.