Model comparison
Mistral vs Qwen2.5 7B Instruct
Mistral and Qwen2.5 7B Instruct score almost the same on the Noometry Index (29.4 vs 28.6), so choose on price, context window or the category you care about most.
Last verified . 5 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- They share 5 benchmarks with published results for both. Mistral scores higher in 2 categories and Qwen2.5 7B Instruct in 4 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen2.5 7B Instruct leads 48.8 to 37.2.
- The biggest single-benchmark swing is MMLU-Pro: 27.7% for Mistral and 53.9% for Qwen2.5 7B Instruct.
- Qwen2.5 7B Instruct has downloadable open weights; the other is API-only.
Side by side
| Mistral | Qwen2.5 7B Instruct | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 29.4 | 28.6 |
| Released | — | 2024-09 |
| Weights | Proprietary | Open |
| Context window | — | 131K |
| Max output | — | 8K |
| Input $ / M tokens | — | $0.17 |
| Output $ / M tokens | — | $0.70 |
| Results tracked | 22 | 15 |
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Category by category
Coding Qwen2.5 7B Instruct leads
Mistral: 33.2 (#249), Qwen2.5 7B Instruct: 35.9 (#204)
| Benchmark | Mistral | Qwen2.5 7B Instruct |
|---|---|---|
| BigCodeBench Instruct | — | 37.6% |
| LMArena Coding | 1162 | — |
| BigCodeBench Complete | — | 46.1% |
Agentic & Tool Use Not comparable
Mistral: —, Qwen2.5 7B Instruct: 23.5 (#117)
| Benchmark | Mistral | Qwen2.5 7B Instruct |
|---|---|---|
| BALROG | — | 7.8% |
Reasoning Mistral leads
Mistral: 21.3 (#199), Qwen2.5 7B Instruct: 14.3 (#317)
| Benchmark | Mistral | Qwen2.5 7B Instruct |
|---|---|---|
| Chess Puzzles | — | 0% |
| LMArena Hard Prompts | 1149 | — |
| DTBench | — | 47.7% |
| LMCA | — | 6.4% |
| Epoch Capabilities Index | — | 118.44 |
Math Mistral leads
Mistral: 20.5 (#275), Qwen2.5 7B Instruct: 11.8 (#300)
| Benchmark | Mistral | Qwen2.5 7B Instruct |
|---|---|---|
| Omni-MATH | 7.2% | 29.4% |
| OTIS Mock AIME 2024-2025 | — | 2.5% |
| LMArena Math | 1180 | — |
Knowledge Too close to call
Mistral: 16.3 (#283), Qwen2.5 7B Instruct: 17.0 (#281)
| Benchmark | Mistral | Qwen2.5 7B Instruct |
|---|---|---|
| MMLU-Pro | 27.7% | 53.9% |
| GPQA (HELM) | 30.3% | 34.1% |
| GPQA Diamond | — | 35.5% |
| LMArena Expert | 1125 | — |
| MMLU | — | 72.9% |
Multilingual Not comparable
Mistral: 33.0 (#249), Qwen2.5 7B Instruct: —
| Benchmark | Mistral | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Non-English | 1129 | — |
| LMArena Chinese | 1109 | — |
| LMArena French | 1179 | — |
| LMArena German | 1155 | — |
| LMArena Japanese | 1012 | — |
| LMArena Korean | 1032 | — |
| LMArena Russian | 1168 | — |
| LMArena Spanish | 1143 | — |
Instruction Following Qwen2.5 7B Instruct leads
Mistral: 52.9 (#283), Qwen2.5 7B Instruct: 63.4 (#226)
| Benchmark | Mistral | Qwen2.5 7B Instruct |
|---|---|---|
| IFEval | 56.8% | 74.1% |
| LMArena Instruction Following | 1152 | — |
Long Context Not comparable
Mistral: 35.0 (#240), Qwen2.5 7B Instruct: —
| Benchmark | Mistral | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Longer Query | 1154 | — |
Writing & Preference Qwen2.5 7B Instruct leads
Mistral: 37.2 (#255), Qwen2.5 7B Instruct: 48.8 (#194)
| Benchmark | Mistral | Qwen2.5 7B Instruct |
|---|---|---|
| WildBench | 66% | 73.1% |
| LMArena Text | 1165 | — |
| LMArena Creative Writing | 1158 | — |
| LMArena Multi-Turn | 1147 | — |
Frequently asked questions
Is Mistral better than Qwen2.5 7B Instruct?
Mistral and Qwen2.5 7B Instruct score almost the same on the Noometry Index (29.4 vs 28.6), so choose on price, context window or the category you care about most.
Is Mistral or Qwen2.5 7B Instruct better for coding?
Qwen2.5 7B Instruct scores higher on coding benchmarks: 35.9 versus 33.2 in the Noometry coding category.
How many benchmarks do Mistral and Qwen2.5 7B Instruct share?
5 benchmarks have published results for both models. Mistral has 22 scored results on Noometry and Qwen2.5 7B Instruct has 15.