Model comparison
Mistral 7B vs Qwen3.6 Max Preview
Qwen3.6 Max Preview is the stronger model overall, scoring 51.5 to 23.0 on the Noometry Index. Mistral 7B costs 12× less per token, which makes it the better buy when Qwen3.6 Max Preview's lead doesn't matter for your workload.
Last verified . 19 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- They share 19 benchmarks with published results for both. Mistral 7B 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 7.4.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 0.3% for Mistral 7B and 91.1% for Qwen3.6 Max Preview.
- Mistral 7B is cheaper at $0.25 / $0.25 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 8K.
- Mistral 7B has downloadable open weights; the other is API-only.
Side by side
| Mistral 7B | Qwen3.6 Max Preview | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 23.0 | 51.5 |
| Released | 2023-09-27 | 2026-04-20 |
| Weights | Open | Proprietary |
| Context window | 8K | 262K |
| Max output | 8K | 66K |
| Input $ / M tokens | $0.25 | $1.30 |
| Output $ / M tokens | $0.25 | $7.80 |
| Results tracked | 37 | 29 |
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Category by category
Coding Qwen3.6 Max Preview leads
Mistral 7B: 26.4 (#326), Qwen3.6 Max Preview: 48.7 (#54)
| Benchmark | Mistral 7B | Qwen3.6 Max Preview |
|---|---|---|
| LMArena Coding | 1082 | 1471 |
| SWE-bench Verified | — | 76.7% |
| LMArena WebDev | — | 1482 |
| BigCodeBench Instruct | 19.5% | — |
| BigCodeBench Complete | 27.3% | — |
| HumanEval+ | 36% | — |
| MBPP+ | 42.1% | — |
Agentic & Tool Use Not comparable
Mistral 7B: —, Qwen3.6 Max Preview: —
| Benchmark | Mistral 7B | Qwen3.6 Max Preview |
|---|---|---|
| Vending-Bench 2 | — | 4,254 |
Reasoning Qwen3.6 Max Preview leads
Mistral 7B: 13.1 (#336), Qwen3.6 Max Preview: 41.7 (#53)
| Benchmark | Mistral 7B | Qwen3.6 Max Preview |
|---|---|---|
| Chess Puzzles | 0% | 20% |
| LMArena Hard Prompts | 1067 | 1457 |
| DTBench | 42.5% | 87.2% |
| Epoch Capabilities Index | 112.21 | 149.24 |
| SimpleBench | — | 63% |
| NYT Connections (extended) | — | 74.1% |
| Mystery Game Puzzles | — | 19% |
| LMCA | — | 42.5% |
| Adversarial NLI | 47.1% | — |
| BIG-Bench Hard | 56.1% | — |
| HellaSwag | 81% | — |
| PIQA | 83% | — |
| WinoGrande | 75.3% | — |
Math Qwen3.6 Max Preview leads
Mistral 7B: 8.1 (#325), Qwen3.6 Max Preview: 54.1 (#46)
| Benchmark | Mistral 7B | Qwen3.6 Max Preview |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 0.3% | 91.1% |
| LMArena Math | 1085 | 1465 |
| MATH Level 5 | 3.7% | — |
| FrontierMath (Feb 2025 set) | — | 23.1% |
| FrontierMath Tier 4 (v1) | — | 4.2% |
| GSM8K | 54.4% | — |
Knowledge Qwen3.6 Max Preview leads
Mistral 7B: 7.4 (#311), Qwen3.6 Max Preview: 57.6 (#39)
| Benchmark | Mistral 7B | Qwen3.6 Max Preview |
|---|---|---|
| GPQA Diamond | 15.2% | 87.4% |
| LMArena Expert | 1036 | 1478 |
| SimpleQA Verified | — | 52% |
| ARC (AI2) Challenge | 78.6% | — |
| BoolQ | 87.4% | — |
| MMLU | 62.5% | — |
| OpenBookQA | 79.8% | — |
| TriviaQA | 75.2% | — |
Multilingual Qwen3.6 Max Preview leads
Mistral 7B: 25.8 (#283), Qwen3.6 Max Preview: 54.2 (#48)
| Benchmark | Mistral 7B | Qwen3.6 Max Preview |
|---|---|---|
| LMArena Non-English | 1012 | 1437 |
| LMArena Chinese | 1009 | 1487 |
| LMArena French | 1037 | 1449 |
| LMArena Russian | 1018 | 1445 |
| LMArena Spanish | 1026 | 1454 |
| LMArena German | 987 | — |
| LMArena Japanese | 878 | — |
Instruction Following Qwen3.6 Max Preview leads
Mistral 7B: 54.2 (#280), Qwen3.6 Max Preview: 75.7 (#55)
| Benchmark | Mistral 7B | Qwen3.6 Max Preview |
|---|---|---|
| LMArena Instruction Following | 1060 | 1438 |
Long Context Qwen3.6 Max Preview leads
Mistral 7B: 32.2 (#271), Qwen3.6 Max Preview: 44.6 (#61)
| Benchmark | Mistral 7B | Qwen3.6 Max Preview |
|---|---|---|
| LMArena Longer Query | 1060 | 1457 |
Writing & Preference Qwen3.6 Max Preview leads
Mistral 7B: 30.7 (#286), Qwen3.6 Max Preview: 63.8 (#60)
| Benchmark | Mistral 7B | Qwen3.6 Max Preview |
|---|---|---|
| LMArena Text | 1090 | 1447 |
| LMArena Creative Writing | 1068 | 1435 |
| LMArena Multi-Turn | 1062 | 1456 |
Frequently asked questions
Is Mistral 7B better than Qwen3.6 Max Preview?
Qwen3.6 Max Preview is the stronger model overall, scoring 51.5 to 23.0 on the Noometry Index. Mistral 7B costs 12× 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, Mistral 7B or Qwen3.6 Max Preview?
Mistral 7B is cheaper. It lists at $0.25 per million input tokens and $0.25 per million output tokens; Qwen3.6 Max Preview lists at $1.30 and $7.80.
Is Mistral 7B or Qwen3.6 Max Preview better for coding?
Qwen3.6 Max Preview scores higher on coding benchmarks: 48.7 versus 26.4 in the Noometry coding category.
Which has the bigger context window?
Qwen3.6 Max Preview does, with 262K tokens against 8K.
How many benchmarks do Mistral 7B and Qwen3.6 Max Preview share?
19 benchmarks have published results for both models. Mistral 7B has 37 scored results on Noometry and Qwen3.6 Max Preview has 29.