Model comparison
Mistral 7B vs Qwen2.5-Max
Qwen2.5-Max is the stronger model overall, scoring 40.1 to 22.9 on the Noometry Index.
Last verified . 17 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- They share 17 benchmarks with published results for both. Mistral 7B scores higher in 0 categories and Qwen2.5-Max in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen2.5-Max leads 34.8 to 7.3.
- Mistral 7B has downloadable open weights; the other is API-only.
Side by side
| Mistral 7B | Qwen2.5-Max | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 22.9 | 40.1 |
| Released | 2023-09-27 | 2025-01-25 |
| Weights | Open | Proprietary |
| Context window | 8K | — |
| Max output | 8K | — |
| Input $ / M tokens | $0.25 | — |
| Output $ / M tokens | $0.25 | — |
| Results tracked | 37 | 27 |
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Category by category
Coding Qwen2.5-Max leads
Mistral 7B: 25.9 (#321), Qwen2.5-Max: 41.2 (#118)
| Benchmark | Mistral 7B | Qwen2.5-Max |
|---|---|---|
| LMArena Coding | 1082 | 1359 |
| BigCodeBench Instruct | 19.5% | — |
| LiveBench Coding | — | 64.4% |
| BigCodeBench Complete | 27.3% | — |
| HumanEval+ | 36% | — |
| MBPP+ | 42.1% | — |
Reasoning Qwen2.5-Max leads
Mistral 7B: 12.6 (#331), Qwen2.5-Max: 24.6 (#144)
| Benchmark | Mistral 7B | Qwen2.5-Max |
|---|---|---|
| LMArena Hard Prompts | 1067 | 1360 |
| Epoch Capabilities Index | 111.97 | 132.54 |
| Chess Puzzles | 0% | — |
| LiveBench Reasoning | — | 51.4% |
| DTBench | 42.5% | — |
| LiveBench Data Analysis | — | 67.9% |
| Adversarial NLI | 47.1% | — |
| BIG-Bench Hard | 56.1% | — |
| HellaSwag | 81% | — |
| LiveBench | — | 62.3% |
| PIQA | 83% | — |
| WinoGrande | 75.3% | — |
Math Qwen2.5-Max leads
Mistral 7B: 7.6 (#319), Qwen2.5-Max: 34.3 (#162)
| Benchmark | Mistral 7B | Qwen2.5-Max |
|---|---|---|
| LMArena Math | 1085 | 1369 |
| OTIS Mock AIME 2024-2025 | 0.3% | — |
| LiveBench Math | — | 58.4% |
| MATH Level 5 | 3.7% | — |
| GSM8K | 54.4% | — |
Knowledge Qwen2.5-Max leads
Mistral 7B: 7.3 (#306), Qwen2.5-Max: 34.8 (#181)
| Benchmark | Mistral 7B | Qwen2.5-Max |
|---|---|---|
| LMArena Expert | 1036 | 1337 |
| GPQA Diamond | 15.2% | — |
| Confabulations | — | 21.8% |
| ARC (AI2) Challenge | 78.6% | — |
| BoolQ | 87.4% | — |
| MMLU | 62.5% | — |
| OpenBookQA | 79.8% | — |
| TriviaQA | 75.2% | — |
Multilingual Qwen2.5-Max leads
Mistral 7B: 26.0 (#278), Qwen2.5-Max: 48.3 (#140)
| Benchmark | Mistral 7B | Qwen2.5-Max |
|---|---|---|
| LMArena Non-English | 1012 | 1352 |
| LMArena Chinese | 1009 | 1382 |
| LMArena French | 1036 | 1396 |
| LMArena German | 987 | 1350 |
| LMArena Japanese | 878 | 1299 |
| LMArena Russian | 1018 | 1353 |
| LMArena Spanish | 1026 | 1377 |
| LMArena Korean | — | 1304 |
Instruction Following Qwen2.5-Max leads
Mistral 7B: 54.5 (#275), Qwen2.5-Max: 71.5 (#147)
| Benchmark | Mistral 7B | Qwen2.5-Max |
|---|---|---|
| LMArena Instruction Following | 1060 | 1335 |
| LiveBench Instruction Following | — | 75.3% |
Long Context Qwen2.5-Max leads
Mistral 7B: 32.2 (#266), Qwen2.5-Max: 41.3 (#137)
| Benchmark | Mistral 7B | Qwen2.5-Max |
|---|---|---|
| LMArena Longer Query | 1060 | 1358 |
Writing & Preference Qwen2.5-Max leads
Mistral 7B: 30.9 (#281), Qwen2.5-Max: 55.6 (#141)
| Benchmark | Mistral 7B | Qwen2.5-Max |
|---|---|---|
| LMArena Text | 1090 | 1367 |
| LMArena Creative Writing | 1068 | 1339 |
| LMArena Multi-Turn | 1062 | 1364 |
| Short-Story Creative Writing | — | 72.9% |
| LiveBench Language | — | 56.3% |
Frequently asked questions
Is Mistral 7B better than Qwen2.5-Max?
Qwen2.5-Max is the stronger model overall, scoring 40.1 to 22.9 on the Noometry Index.
Is Mistral 7B or Qwen2.5-Max better for coding?
Qwen2.5-Max scores higher on coding benchmarks: 41.2 versus 25.9 in the Noometry coding category.
How many benchmarks do Mistral 7B and Qwen2.5-Max share?
17 benchmarks have published results for both models. Mistral 7B has 37 scored results on Noometry and Qwen2.5-Max has 27.