Model comparison
Claude Sonnet 5 vs Mixtral 8x7B
Claude Sonnet 5 is the stronger model overall, scoring 54.5 to 26.8 on the Noometry Index. Mixtral 8x7B costs 5.7× less per token, which makes it the better buy when Claude Sonnet 5's lead doesn't matter for your workload.
Last verified . 21 shared benchmarks.
Mistral AISummary
- They share 21 benchmarks with published results for both. Claude Sonnet 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 leads 66.1 to 17.2.
- The biggest single-benchmark swing is GPQA Diamond: 90.5% for Claude Sonnet 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.
- Claude Sonnet 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 | Mixtral 8x7B | |
|---|---|---|
| Provider | Anthropic | Mistral AI |
| Noometry Index | 54.5 | 26.8 |
| Released | 2026-06-29 | 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 | 51 | 38 |
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Category by category
Coding Claude Sonnet 5 leads
Claude Sonnet 5: 55.5 (#20), Mixtral 8x7B: 32.2 (#265)
| Benchmark | Claude Sonnet 5 | Mixtral 8x7B |
|---|---|---|
| LMArena Coding | 1483 | 1127 |
| DeepSWE | 53.8% | — |
| FrontierCode | 42.7% | — |
| CursorBench | 34.1% | — |
| LMArena WebDev | 1540 | — |
| SciCode | 53.6% | — |
| GSO | 37.3% | — |
| WeirdML | 68.8% | — |
| ALE-Bench | 1,463 | — |
| HumanEval+ | — | 39.6% |
| MBPP+ | — | 49.7% |
Agentic & Tool Use Not comparable
Claude Sonnet 5: 42.7 (#16), Mixtral 8x7B: —
| Benchmark | Claude Sonnet 5 | Mixtral 8x7B |
|---|---|---|
| APEX-Agents | 54.5% | — |
| GBAEval | 65.3% | — |
| LMArena Search | 1194 | — |
| Vending-Bench 2 | 6,378 | — |
Reasoning Claude Sonnet 5 leads
Claude Sonnet 5: 48.2 (#37), Mixtral 8x7B: 17.4 (#283)
| Benchmark | Claude Sonnet 5 | Mixtral 8x7B |
|---|---|---|
| LMArena Hard Prompts | 1461 | 1115 |
| DTBench | 92.5% | 49.6% |
| Epoch Capabilities Index | 156.34 | 118.38 |
| 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% | — |
| Adversarial NLI | — | 55.2% |
| Bench to the Future 3 | 0.14 | — |
| HellaSwag | — | 86.7% |
| PIQA | — | 83.6% |
| WinoGrande | — | 77.2% |
Math Claude Sonnet 5 leads
Claude Sonnet 5: 66.1 (#21), Mixtral 8x7B: 17.2 (#284)
| Benchmark | Claude Sonnet 5 | Mixtral 8x7B |
|---|---|---|
| LMArena Math | 1467 | 1147 |
| FrontierMath (Tiers 1-3) | 65.6% | — |
| FrontierMath Tier 4 | 29.3% | — |
| OTIS Mock AIME 2024-2025 | 94.7% | — |
| ProofBench | 77% | — |
| Omni-MATH | — | 10.5% |
| MATH Level 5 | — | 10% |
| GSM8K | — | 74.4% |
Knowledge Claude Sonnet 5 leads
Claude Sonnet 5: 55.7 (#42), Mixtral 8x7B: 11.0 (#296)
| Benchmark | Claude Sonnet 5 | Mixtral 8x7B |
|---|---|---|
| GPQA Diamond | 90.5% | 30.6% |
| LMArena Expert | 1491 | 1088 |
| SimpleQA Verified | 33.7% | — |
| 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: 42.4 (#26), Mixtral 8x7B: —
| Benchmark | Claude Sonnet 5 | Mixtral 8x7B |
|---|---|---|
| LMArena Vision | 1275 | — |
| Blueprint-Bench 2 | 24.9% | — |
| LMArena Document | 1466 | — |
Multilingual Claude Sonnet 5 leads
Claude Sonnet 5: 54.0 (#55), Mixtral 8x7B: 29.8 (#261)
| Benchmark | Claude Sonnet 5 | Mixtral 8x7B |
|---|---|---|
| LMArena Non-English | 1431 | 1077 |
| LMArena Chinese | 1475 | 1055 |
| LMArena French | 1457 | 1165 |
| LMArena German | 1448 | 1114 |
| LMArena Japanese | 1422 | 931 |
| LMArena Korean | 1411 | 968 |
| LMArena Russian | 1452 | 1090 |
| LMArena Spanish | 1436 | 1110 |
Instruction Following Claude Sonnet 5 leads
Claude Sonnet 5: 76.6 (#39), Mixtral 8x7B: 51.2 (#292)
| Benchmark | Claude Sonnet 5 | Mixtral 8x7B |
|---|---|---|
| LMArena Instruction Following | 1453 | 1110 |
| IFEval | — | 57.5% |
Long Context Claude Sonnet 5 leads
Claude Sonnet 5: 44.8 (#53), Mixtral 8x7B: 33.4 (#255)
| Benchmark | Claude Sonnet 5 | Mixtral 8x7B |
|---|---|---|
| LMArena Longer Query | 1464 | 1103 |
Writing & Preference Claude Sonnet 5 leads
Claude Sonnet 5: 69.4 (#24), Mixtral 8x7B: 34.4 (#265)
| Benchmark | Claude Sonnet 5 | Mixtral 8x7B |
|---|---|---|
| LMArena Text | 1443 | 1132 |
| LMArena Creative Writing | 1416 | 1109 |
| LMArena Multi-Turn | 1454 | 1115 |
| EQ-Bench Creative Writing | 1794 | — |
| WildBench | — | 67.3% |
| EQ-Bench 4 | 1236 | — |
Frequently asked questions
Is Claude Sonnet 5 better than Mixtral 8x7B?
Claude Sonnet 5 is the stronger model overall, scoring 54.5 to 26.8 on the Noometry Index. Mixtral 8x7B costs 5.7× 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 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 lists at $2 and $10.
Is Claude Sonnet 5 or Mixtral 8x7B better for coding?
Claude Sonnet 5 scores higher on coding benchmarks: 55.5 versus 32.2 in the Noometry coding category.
Which has the bigger context window?
Claude Sonnet 5 does, with 1M tokens against 32K.
How many benchmarks do Claude Sonnet 5 and Mixtral 8x7B share?
21 benchmarks have published results for both models. Claude Sonnet 5 has 51 scored results on Noometry and Mixtral 8x7B has 38.