Model comparison
Mixtral 8x7B vs Qwen3.6 Max Preview
Qwen3.6 Max Preview is the stronger model overall, scoring 51.1 to 26.8 on the Noometry Index. Mixtral 8x7B costs 4.2× less per token, which makes it the better buy when Qwen3.6 Max Preview's lead doesn't matter for your workload.
Last verified . 17 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- They share 17 benchmarks with published results for both. Mixtral 8x7B scores higher in 0 categories and Qwen3.6 Max Preview in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.6 Max Preview leads 57.6 to 11.0.
- The biggest single-benchmark swing is GPQA Diamond: 30.6% for Mixtral 8x7B and 87.4% for Qwen3.6 Max Preview.
- Mixtral 8x7B is cheaper at $0.70 / $0.70 per million input/output tokens, against $1.30 / $7.80 for Qwen3.6 Max Preview.
- Qwen3.6 Max Preview accepts more context: 262K tokens versus 32K.
- Mixtral 8x7B has downloadable open weights; the other is API-only.
Side by side
| Mixtral 8x7B | Qwen3.6 Max Preview | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 26.8 | 51.1 |
| Released | 2023-12-11 | 2026-04-20 |
| Weights | Open | Proprietary |
| Context window | 32K | 262K |
| Max output | 32K | 66K |
| Input $ / M tokens | $0.70 | $1.30 |
| Output $ / M tokens | $0.70 | $7.80 |
| Results tracked | 38 | 29 |
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Category by category
Coding Qwen3.6 Max Preview leads
Mixtral 8x7B: 32.2 (#265), Qwen3.6 Max Preview: 48.6 (#50)
| Benchmark | Mixtral 8x7B | Qwen3.6 Max Preview |
|---|---|---|
| LMArena Coding | 1127 | 1472 |
| SWE-bench Verified | — | 76.7% |
| LMArena WebDev | — | 1482 |
| HumanEval+ | 39.6% | — |
| MBPP+ | 49.7% | — |
Agentic & Tool Use Not comparable
Mixtral 8x7B: —, Qwen3.6 Max Preview: —
| Benchmark | Mixtral 8x7B | Qwen3.6 Max Preview |
|---|---|---|
| Vending-Bench 2 | — | 4,254 |
Reasoning Qwen3.6 Max Preview leads
Mixtral 8x7B: 17.4 (#283), Qwen3.6 Max Preview: 40.8 (#47)
| Benchmark | Mixtral 8x7B | Qwen3.6 Max Preview |
|---|---|---|
| LMArena Hard Prompts | 1115 | 1457 |
| DTBench | 49.6% | 87.2% |
| Epoch Capabilities Index | 118.38 | 149.27 |
| SimpleBench | — | 63% |
| NYT Connections (extended) | — | 74.1% |
| Chess Puzzles | — | 20% |
| Mystery Game Puzzles | — | 19% |
| LMCA | — | 42.5% |
| Adversarial NLI | 55.2% | — |
| ForecastBench | 56.3 | — |
| HellaSwag | 86.7% | — |
| PIQA | 83.6% | — |
| WinoGrande | 77.2% | — |
Math Qwen3.6 Max Preview leads
Mixtral 8x7B: 17.2 (#284), Qwen3.6 Max Preview: 52.2 (#40)
| Benchmark | Mixtral 8x7B | Qwen3.6 Max Preview |
|---|---|---|
| LMArena Math | 1147 | 1465 |
| OTIS Mock AIME 2024-2025 | — | 91.1% |
| Omni-MATH | 10.5% | — |
| MATH Level 5 | 10% | — |
| FrontierMath (Feb 2025 set) | — | 23.1% |
| FrontierMath Tier 4 (v1) | — | 4.2% |
| GSM8K | 74.4% | — |
Knowledge Qwen3.6 Max Preview leads
Mixtral 8x7B: 11.0 (#296), Qwen3.6 Max Preview: 57.6 (#35)
| Benchmark | Mixtral 8x7B | Qwen3.6 Max Preview |
|---|---|---|
| GPQA Diamond | 30.6% | 87.4% |
| LMArena Expert | 1088 | 1476 |
| SimpleQA Verified | — | 52% |
| MMLU-Pro | 33.5% | — |
| GPQA (HELM) | 29.6% | — |
| ARC (AI2) Challenge | 87.3% | — |
| MMLU | 70.6% | — |
| OpenBookQA | 85.8% | — |
| TriviaQA | 82.2% | — |
Multilingual Qwen3.6 Max Preview leads
Mixtral 8x7B: 29.8 (#261), Qwen3.6 Max Preview: 54.3 (#46)
| Benchmark | Mixtral 8x7B | Qwen3.6 Max Preview |
|---|---|---|
| LMArena Non-English | 1077 | 1436 |
| LMArena Chinese | 1055 | 1487 |
| LMArena French | 1165 | 1449 |
| LMArena Russian | 1090 | 1444 |
| LMArena Spanish | 1110 | 1452 |
| LMArena German | 1114 | — |
| LMArena Japanese | 931 | — |
| LMArena Korean | 968 | — |
Instruction Following Qwen3.6 Max Preview leads
Mixtral 8x7B: 51.2 (#292), Qwen3.6 Max Preview: 75.8 (#51)
| Benchmark | Mixtral 8x7B | Qwen3.6 Max Preview |
|---|---|---|
| LMArena Instruction Following | 1110 | 1437 |
| IFEval | 57.5% | — |
Long Context Qwen3.6 Max Preview leads
Mixtral 8x7B: 33.4 (#255), Qwen3.6 Max Preview: 44.6 (#59)
| Benchmark | Mixtral 8x7B | Qwen3.6 Max Preview |
|---|---|---|
| LMArena Longer Query | 1103 | 1457 |
Writing & Preference Qwen3.6 Max Preview leads
Mixtral 8x7B: 34.4 (#265), Qwen3.6 Max Preview: 64.0 (#58)
| Benchmark | Mixtral 8x7B | Qwen3.6 Max Preview |
|---|---|---|
| LMArena Text | 1132 | 1447 |
| LMArena Creative Writing | 1109 | 1435 |
| LMArena Multi-Turn | 1115 | 1456 |
| WildBench | 67.3% | — |
Frequently asked questions
Is Mixtral 8x7B better than Qwen3.6 Max Preview?
Qwen3.6 Max Preview is the stronger model overall, scoring 51.1 to 26.8 on the Noometry Index. Mixtral 8x7B costs 4.2× less per token, which makes it the better buy when Qwen3.6 Max Preview's lead doesn't matter for your workload.
Which is cheaper, Mixtral 8x7B or Qwen3.6 Max Preview?
Mixtral 8x7B is cheaper. It lists at $0.70 per million input tokens and $0.70 per million output tokens; Qwen3.6 Max Preview lists at $1.30 and $7.80.
Is Mixtral 8x7B or Qwen3.6 Max Preview better for coding?
Qwen3.6 Max Preview scores higher on coding benchmarks: 48.6 versus 32.2 in the Noometry coding category.
Which has the bigger context window?
Qwen3.6 Max Preview does, with 262K tokens against 32K.
How many benchmarks do Mixtral 8x7B and Qwen3.6 Max Preview share?
17 benchmarks have published results for both models. Mixtral 8x7B has 38 scored results on Noometry and Qwen3.6 Max Preview has 29.