Model comparison
Mixtral 8x7B vs Qwen3 Max
Qwen3 Max is the stronger model overall, scoring 43.7 to 27.1 on the Noometry Index. Mixtral 8x7B costs 3.4× less per token, which makes it the better buy when Qwen3 Max's lead doesn't matter for your workload.
Last verified . 21 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- They share 21 benchmarks with published results for both. Mixtral 8x7B scores higher in 0 categories and Qwen3 Max in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3 Max leads 48.1 to 11.0.
- The biggest single-benchmark swing is MATH Level 5: 10% for Mixtral 8x7B and 97.1% for Qwen3 Max.
- Mixtral 8x7B is cheaper at $0.70 / $0.70 per million input/output tokens, against $1.20 / $6 for Qwen3 Max.
- Qwen3 Max accepts more context: 262K tokens versus 32K.
- Mixtral 8x7B has downloadable open weights; the other is API-only.
Side by side
| Mixtral 8x7B | Qwen3 Max | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 27.1 | 43.7 |
| Released | 2023-12-11 | 2025-09-23 |
| Weights | Open | Proprietary |
| Context window | 32K | 262K |
| Max output | 32K | 66K |
| Input $ / M tokens | $0.70 | $1.20 |
| Output $ / M tokens | $0.70 | $6 |
| Results tracked | 38 | 33 |
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Category by category
Coding Qwen3 Max leads
Mixtral 8x7B: 32.8 (#269), Qwen3 Max: 43.0 (#93)
| Benchmark | Mixtral 8x7B | Qwen3 Max |
|---|---|---|
| LMArena Coding | 1126 | 1456 |
| ALE-Bench | — | 370.45 |
| HumanEval+ | 39.6% | — |
| MBPP+ | 49.7% | — |
Agentic & Tool Use Not comparable
Mixtral 8x7B: —, Qwen3 Max: —
| Benchmark | Mixtral 8x7B | Qwen3 Max |
|---|---|---|
| Vending-Bench 2 | — | 71.56 |
Reasoning Qwen3 Max leads
Mixtral 8x7B: 18.2 (#285), Qwen3 Max: 22.6 (#190)
| Benchmark | Mixtral 8x7B | Qwen3 Max |
|---|---|---|
| LMArena Hard Prompts | 1115 | 1448 |
| DTBench | 49.6% | 82.1% |
| Epoch Capabilities Index | 118.47 | 142.38 |
| Kagi LLM Benchmark | — | 72.5% |
| NYT Connections (extended) | — | 30.1% |
| Chess Puzzles | — | 4% |
| Mystery Game Puzzles | — | 5% |
| LMCA | — | 28.3% |
| Adversarial NLI | 55.2% | — |
| ForecastBench | 56.3 | — |
| HellaSwag | 86.7% | — |
| PIQA | 83.6% | — |
| WinoGrande | 77.2% | — |
Math Qwen3 Max leads
Mixtral 8x7B: 18.8 (#289), Qwen3 Max: 38.7 (#131)
| Benchmark | Mixtral 8x7B | Qwen3 Max |
|---|---|---|
| LMArena Math | 1147 | 1446 |
| MATH Level 5 | 10% | 97.1% |
| FrontierMath (Tiers 1-3) | — | 18.9% |
| OTIS Mock AIME 2024-2025 | — | 73.3% |
| Omni-MATH | 10.5% | — |
| GSM8K | 74.4% | — |
Knowledge Qwen3 Max leads
Mixtral 8x7B: 11.0 (#301), Qwen3 Max: 48.1 (#78)
| Benchmark | Mixtral 8x7B | Qwen3 Max |
|---|---|---|
| GPQA Diamond | 30.6% | 72.6% |
| LMArena Expert | 1088 | 1455 |
| SimpleQA Verified | — | 48.7% |
| MMLU-Pro | 33.5% | — |
| GPQA (HELM) | 29.6% | — |
| ARC (AI2) Challenge | 87.3% | — |
| MMLU | 70.6% | — |
| OpenBookQA | 85.8% | — |
| TriviaQA | 82.2% | — |
Multilingual Qwen3 Max leads
Mixtral 8x7B: 29.6 (#266), Qwen3 Max: 53.7 (#62)
| Benchmark | Mixtral 8x7B | Qwen3 Max |
|---|---|---|
| LMArena Non-English | 1077 | 1429 |
| LMArena Chinese | 1055 | 1478 |
| LMArena French | 1166 | 1449 |
| LMArena German | 1114 | 1463 |
| LMArena Japanese | 931 | 1397 |
| LMArena Korean | 968 | 1399 |
| LMArena Russian | 1090 | 1428 |
| LMArena Spanish | 1111 | 1462 |
Instruction Following Qwen3 Max leads
Mixtral 8x7B: 51.0 (#297), Qwen3 Max: 74.8 (#87)
| Benchmark | Mixtral 8x7B | Qwen3 Max |
|---|---|---|
| LMArena Instruction Following | 1109 | 1419 |
| IFEval | 57.5% | — |
Long Context Qwen3 Max leads
Mixtral 8x7B: 33.4 (#260), Qwen3 Max: 41.6 (#134)
| Benchmark | Mixtral 8x7B | Qwen3 Max |
|---|---|---|
| LMArena Longer Query | 1103 | 1438 |
| Fiction.LiveBench | — | 66.7% |
| CL-bench | — | 14.5% |
Writing & Preference Qwen3 Max leads
Mixtral 8x7B: 34.2 (#270), Qwen3 Max: 62.4 (#76)
| Benchmark | Mixtral 8x7B | Qwen3 Max |
|---|---|---|
| LMArena Text | 1132 | 1439 |
| LMArena Creative Writing | 1109 | 1402 |
| LMArena Multi-Turn | 1115 | 1446 |
| WildBench | 67.3% | — |
Frequently asked questions
Is Mixtral 8x7B better than Qwen3 Max?
Qwen3 Max is the stronger model overall, scoring 43.7 to 27.1 on the Noometry Index. Mixtral 8x7B costs 3.4× less per token, which makes it the better buy when Qwen3 Max's lead doesn't matter for your workload.
Which is cheaper, Mixtral 8x7B or Qwen3 Max?
Mixtral 8x7B is cheaper. It lists at $0.70 per million input tokens and $0.70 per million output tokens; Qwen3 Max lists at $1.20 and $6.
Is Mixtral 8x7B or Qwen3 Max better for coding?
Qwen3 Max scores higher on coding benchmarks: 43.0 versus 32.8 in the Noometry coding category.
Which has the bigger context window?
Qwen3 Max does, with 262K tokens against 32K.
How many benchmarks do Mixtral 8x7B and Qwen3 Max share?
21 benchmarks have published results for both models. Mixtral 8x7B has 38 scored results on Noometry and Qwen3 Max has 33.