Model comparison
Claude Sonnet 5.5 vs Mixtral 8x7B
Claude Sonnet 5.5 is the stronger model overall, scoring 61.9 to 27.1 on the Noometry Index. Mixtral 8x7B costs 5.7× less per token, which makes it the better buy when Claude Sonnet 5.5's lead doesn't matter for your workload.
Last verified . 14 shared benchmarks.
Mistral AISummary
- They share 14 benchmarks with published results for both. Claude Sonnet 5.5 scores higher in 8 categories and Mixtral 8x7B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Claude Sonnet 5.5 leads 87.9 to 18.8.
- The biggest single-benchmark swing is GPQA Diamond: 95.6% for Claude Sonnet 5.5 and 30.6% for Mixtral 8x7B.
- Mixtral 8x7B is cheaper at $0.70 / $0.70 per million input/output tokens, against $2 / $10 for Claude Sonnet 5.5.
- Claude Sonnet 5.5 accepts more context: 1M tokens versus 32K.
- Mixtral 8x7B has downloadable open weights; the other is API-only.
Side by side
| Claude Sonnet 5.5 | Mixtral 8x7B | |
|---|---|---|
| Provider | Anthropic | Mistral AI |
| Noometry Index | 61.9 | 27.1 |
| Released | 2026-09-28 | 2023-12-11 |
| Weights | Proprietary | Open |
| Context window | 1M | 32K |
| Max output | 128K | 32K |
| Input $ / M tokens | $2 | $0.70 |
| Output $ / M tokens | $10 | $0.70 |
| Results tracked | 32 | 38 |
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Category by category
Coding Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 67.3 (#6), Mixtral 8x7B: 32.8 (#269)
| Benchmark | Claude Sonnet 5.5 | Mixtral 8x7B |
|---|---|---|
| LMArena Coding | 1513 | 1126 |
| FrontierCode | 52.1% | — |
| CursorBench | 55.5% | — |
| LMArena WebDev | 1774 | — |
| FrontierSWE | 61.9% | — |
| SciCode | 61% | — |
| ALE-Bench | 1,819 | — |
| HumanEval+ | — | 39.6% |
| MBPP+ | — | 49.7% |
Agentic & Tool Use Not comparable
Claude Sonnet 5.5: 45.0 (#16), Mixtral 8x7B: —
| Benchmark | Claude Sonnet 5.5 | Mixtral 8x7B |
|---|---|---|
| APEX-Agents | 75.5% | — |
Reasoning Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 54.0 (#28), Mixtral 8x7B: 18.2 (#285)
| Benchmark | Claude Sonnet 5.5 | Mixtral 8x7B |
|---|---|---|
| LMArena Hard Prompts | 1495 | 1115 |
| Epoch Capabilities Index | 165.03 | 118.47 |
| NYT Connections (extended) | 80.5% | — |
| CritPt | 31.4% | — |
| Mystery Game Puzzles | 65% | — |
| DTBench | — | 49.6% |
| Adversarial NLI | — | 55.2% |
| ForecastBench | — | 56.3 |
| HellaSwag | — | 86.7% |
| PIQA | — | 83.6% |
| WinoGrande | — | 77.2% |
Math Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 87.9 (#6), Mixtral 8x7B: 18.8 (#289)
| Benchmark | Claude Sonnet 5.5 | Mixtral 8x7B |
|---|---|---|
| LMArena Math | 1510 | 1147 |
| FrontierMath (Tiers 1-3) | 88.8% | — |
| FrontierMath Tier 4 | 80.5% | — |
| OTIS Mock AIME 2024-2025 | 100% | — |
| ProofBench | 100% | — |
| Omni-MATH | — | 10.5% |
| MATH Level 5 | — | 10% |
| FrontierMath Erdős | 2.9% | — |
| GSM8K | — | 74.4% |
Knowledge Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 66.0 (#12), Mixtral 8x7B: 11.0 (#301)
| Benchmark | Claude Sonnet 5.5 | Mixtral 8x7B |
|---|---|---|
| GPQA Diamond | 95.6% | 30.6% |
| LMArena Expert | 1540 | 1088 |
| SimpleQA Verified | 46.5% | — |
| MMLU-Pro | — | 33.5% |
| GPQA (HELM) | — | 29.6% |
| ARC (AI2) Challenge | — | 87.3% |
| MMLU | — | 70.6% |
| OpenBookQA | — | 85.8% |
| TriviaQA | — | 82.2% |
Multimodal Not comparable
Claude Sonnet 5.5: 51.5 (#6), Mixtral 8x7B: —
| Benchmark | Claude Sonnet 5.5 | Mixtral 8x7B |
|---|---|---|
| LMArena Vision | 1289 | — |
| Furniture Assembly | 75% | — |
Multilingual Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 55.3 (#30), Mixtral 8x7B: 29.6 (#266)
| Benchmark | Claude Sonnet 5.5 | Mixtral 8x7B |
|---|---|---|
| LMArena Non-English | 1452 | 1077 |
| LMArena Chinese | 1522 | 1055 |
| LMArena Russian | 1451 | 1090 |
| LMArena French | — | 1166 |
| LMArena German | — | 1114 |
| LMArena Japanese | — | 931 |
| LMArena Korean | — | 968 |
| LMArena Spanish | — | 1111 |
Instruction Following Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 78.3 (#11), Mixtral 8x7B: 51.0 (#297)
| Benchmark | Claude Sonnet 5.5 | Mixtral 8x7B |
|---|---|---|
| LMArena Instruction Following | 1495 | 1109 |
| IFEval | — | 57.5% |
Long Context Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 45.9 (#28), Mixtral 8x7B: 33.4 (#260)
| Benchmark | Claude Sonnet 5.5 | Mixtral 8x7B |
|---|---|---|
| LMArena Longer Query | 1498 | 1103 |
Writing & Preference Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 66.0 (#40), Mixtral 8x7B: 34.2 (#270)
| Benchmark | Claude Sonnet 5.5 | Mixtral 8x7B |
|---|---|---|
| LMArena Text | 1471 | 1132 |
| LMArena Creative Writing | 1465 | 1109 |
| LMArena Multi-Turn | 1474 | 1115 |
| WildBench | — | 67.3% |
Frequently asked questions
Is Claude Sonnet 5.5 better than Mixtral 8x7B?
Claude Sonnet 5.5 is the stronger model overall, scoring 61.9 to 27.1 on the Noometry Index. Mixtral 8x7B costs 5.7× less per token, which makes it the better buy when Claude Sonnet 5.5's lead doesn't matter for your workload.
Which is cheaper, Claude Sonnet 5.5 or Mixtral 8x7B?
Mixtral 8x7B is cheaper. It lists at $0.70 per million input tokens and $0.70 per million output tokens; Claude Sonnet 5.5 lists at $2 and $10.
Is Claude Sonnet 5.5 or Mixtral 8x7B better for coding?
Claude Sonnet 5.5 scores higher on coding benchmarks: 67.3 versus 32.8 in the Noometry coding category.
Which has the bigger context window?
Claude Sonnet 5.5 does, with 1M tokens against 32K.
How many benchmarks do Claude Sonnet 5.5 and Mixtral 8x7B share?
14 benchmarks have published results for both models. Claude Sonnet 5.5 has 32 scored results on Noometry and Mixtral 8x7B has 38.