Model comparison
Mistral 7B vs Qwen3 Max
Qwen3 Max is the stronger model overall, scoring 43.7 to 23.0 on the Noometry Index. Mistral 7B costs 9.6× less per token, which makes it the better buy when Qwen3 Max's lead doesn't matter for your workload.
Last verified . 22 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- They share 22 benchmarks with published results for both. Mistral 7B 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 7.4.
- The biggest single-benchmark swing is MATH Level 5: 3.7% for Mistral 7B and 97.1% for Qwen3 Max.
- Mistral 7B is cheaper at $0.25 / $0.25 per million input/output tokens, against $1.20 / $6 for Qwen3 Max.
- Qwen3 Max accepts more context: 262K tokens versus 8K.
- Mistral 7B has downloadable open weights; the other is API-only.
Side by side
| Mistral 7B | Qwen3 Max | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 23.0 | 43.7 |
| Released | 2023-09-27 | 2025-09-23 |
| Weights | Open | Proprietary |
| Context window | 8K | 262K |
| Max output | 8K | 66K |
| Input $ / M tokens | $0.25 | $1.20 |
| Output $ / M tokens | $0.25 | $6 |
| Results tracked | 37 | 33 |
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Category by category
Coding Qwen3 Max leads
Mistral 7B: 26.4 (#326), Qwen3 Max: 43.0 (#93)
| Benchmark | Mistral 7B | Qwen3 Max |
|---|---|---|
| LMArena Coding | 1082 | 1456 |
| BigCodeBench Instruct | 19.5% | — |
| BigCodeBench Complete | 27.3% | — |
| ALE-Bench | — | 370.45 |
| HumanEval+ | 36% | — |
| MBPP+ | 42.1% | — |
Agentic & Tool Use Not comparable
Mistral 7B: —, Qwen3 Max: —
| Benchmark | Mistral 7B | Qwen3 Max |
|---|---|---|
| Vending-Bench 2 | — | 71.56 |
Reasoning Qwen3 Max leads
Mistral 7B: 13.1 (#336), Qwen3 Max: 22.6 (#190)
| Benchmark | Mistral 7B | Qwen3 Max |
|---|---|---|
| Chess Puzzles | 0% | 4% |
| LMArena Hard Prompts | 1067 | 1448 |
| DTBench | 42.5% | 82.1% |
| Epoch Capabilities Index | 112.21 | 142.38 |
| Kagi LLM Benchmark | — | 72.5% |
| NYT Connections (extended) | — | 30.1% |
| Mystery Game Puzzles | — | 5% |
| LMCA | — | 28.3% |
| Adversarial NLI | 47.1% | — |
| BIG-Bench Hard | 56.1% | — |
| HellaSwag | 81% | — |
| PIQA | 83% | — |
| WinoGrande | 75.3% | — |
Math Qwen3 Max leads
Mistral 7B: 8.1 (#325), Qwen3 Max: 38.7 (#131)
| Benchmark | Mistral 7B | Qwen3 Max |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 0.3% | 73.3% |
| LMArena Math | 1085 | 1446 |
| MATH Level 5 | 3.7% | 97.1% |
| FrontierMath (Tiers 1-3) | — | 18.9% |
| GSM8K | 54.4% | — |
Knowledge Qwen3 Max leads
Mistral 7B: 7.4 (#311), Qwen3 Max: 48.1 (#78)
| Benchmark | Mistral 7B | Qwen3 Max |
|---|---|---|
| GPQA Diamond | 15.2% | 72.6% |
| LMArena Expert | 1036 | 1455 |
| SimpleQA Verified | — | 48.7% |
| ARC (AI2) Challenge | 78.6% | — |
| BoolQ | 87.4% | — |
| MMLU | 62.5% | — |
| OpenBookQA | 79.8% | — |
| TriviaQA | 75.2% | — |
Multilingual Qwen3 Max leads
Mistral 7B: 25.8 (#283), Qwen3 Max: 53.7 (#62)
| Benchmark | Mistral 7B | Qwen3 Max |
|---|---|---|
| LMArena Non-English | 1012 | 1429 |
| LMArena Chinese | 1009 | 1478 |
| LMArena French | 1037 | 1449 |
| LMArena German | 987 | 1463 |
| LMArena Japanese | 878 | 1397 |
| LMArena Russian | 1018 | 1428 |
| LMArena Spanish | 1026 | 1462 |
| LMArena Korean | — | 1399 |
Instruction Following Qwen3 Max leads
Mistral 7B: 54.2 (#280), Qwen3 Max: 74.8 (#87)
| Benchmark | Mistral 7B | Qwen3 Max |
|---|---|---|
| LMArena Instruction Following | 1060 | 1419 |
Long Context Qwen3 Max leads
Mistral 7B: 32.2 (#271), Qwen3 Max: 41.6 (#134)
| Benchmark | Mistral 7B | Qwen3 Max |
|---|---|---|
| LMArena Longer Query | 1060 | 1438 |
| Fiction.LiveBench | — | 66.7% |
| CL-bench | — | 14.5% |
Writing & Preference Qwen3 Max leads
Mistral 7B: 30.7 (#286), Qwen3 Max: 62.4 (#76)
| Benchmark | Mistral 7B | Qwen3 Max |
|---|---|---|
| LMArena Text | 1090 | 1439 |
| LMArena Creative Writing | 1068 | 1402 |
| LMArena Multi-Turn | 1062 | 1446 |
Frequently asked questions
Is Mistral 7B better than Qwen3 Max?
Qwen3 Max is the stronger model overall, scoring 43.7 to 23.0 on the Noometry Index. Mistral 7B costs 9.6× less per token, which makes it the better buy when Qwen3 Max's lead doesn't matter for your workload.
Which is cheaper, Mistral 7B or Qwen3 Max?
Mistral 7B is cheaper. It lists at $0.25 per million input tokens and $0.25 per million output tokens; Qwen3 Max lists at $1.20 and $6.
Is Mistral 7B or Qwen3 Max better for coding?
Qwen3 Max scores higher on coding benchmarks: 43.0 versus 26.4 in the Noometry coding category.
Which has the bigger context window?
Qwen3 Max does, with 262K tokens against 8K.
How many benchmarks do Mistral 7B and Qwen3 Max share?
22 benchmarks have published results for both models. Mistral 7B has 37 scored results on Noometry and Qwen3 Max has 33.