Model comparison
Mistral Small 3.1 vs Qwen-7B
Mistral Small 3.1 has enough public results to be ranked (#269); Qwen-7B does not yet, so treat this comparison as directional.
Last verified . 1 shared benchmarks.
Summary
- They share 1 benchmark with published results for both.
Side by side
| Mistral Small 3.1 | Qwen-7B | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 31.7 | — |
| Released | 2025-03-17 | 2023-09-28 |
| Weights | Open | Open |
| Context window | 128K | — |
| Max output | 102K | — |
| Input $ / M tokens | $0.35 | — |
| Output $ / M tokens | $0.56 | — |
| Results tracked | 28 | 8 |
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Category by category
Coding Not comparable
Mistral Small 3.1: 38.3 (#179), Qwen-7B: —
| Benchmark | Mistral Small 3.1 | Qwen-7B |
|---|---|---|
| LMArena Coding | 1309 | — |
Reasoning Not comparable
Mistral Small 3.1: 19.7 (#254), Qwen-7B: —
| Benchmark | Mistral Small 3.1 | Qwen-7B |
|---|---|---|
| Epoch Capabilities Index | 127.48 | 106.83 |
| Chess Puzzles | 1% | — |
| LMArena Hard Prompts | 1278 | — |
| BIG-Bench Hard | — | 45% |
| LAMBADA | — | 67.9% |
| PIQA | — | 77.9% |
Math Not comparable
Mistral Small 3.1: 14.7 (#301), Qwen-7B: —
| Benchmark | Mistral Small 3.1 | Qwen-7B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 3.9% | — |
| Omni-MATH | 24.8% | — |
| LMArena Math | 1262 | — |
| GSM8K | — | 51.7% |
Knowledge Not comparable
Mistral Small 3.1: 22.6 (#271), Qwen-7B: —
| Benchmark | Mistral Small 3.1 | Qwen-7B |
|---|---|---|
| GPQA Diamond | 41.9% | — |
| MMLU-Pro | 61% | — |
| GPQA (HELM) | 39.2% | — |
| LMArena Expert | 1257 | — |
| ARC (AI2) Challenge | — | 75.3% |
| BoolQ | — | 76.4% |
| MMLU | — | 45% |
Multimodal Not comparable
Mistral Small 3.1: 33.2 (#99), Qwen-7B: —
| Benchmark | Mistral Small 3.1 | Qwen-7B |
|---|---|---|
| LMArena Vision | 1136 | — |
Multilingual Not comparable
Mistral Small 3.1: 41.2 (#209), Qwen-7B: —
| Benchmark | Mistral Small 3.1 | Qwen-7B |
|---|---|---|
| LMArena Non-English | 1255 | — |
| LMArena Chinese | 1253 | — |
| LMArena French | 1273 | — |
| LMArena German | 1266 | — |
| LMArena Japanese | 1208 | — |
| LMArena Korean | 1206 | — |
| LMArena Russian | 1263 | — |
| LMArena Spanish | 1283 | — |
Instruction Following Not comparable
Mistral Small 3.1: 63.6 (#230), Qwen-7B: —
| Benchmark | Mistral Small 3.1 | Qwen-7B |
|---|---|---|
| IFEval | 75% | — |
| LMArena Instruction Following | 1264 | — |
Long Context Not comparable
Mistral Small 3.1: 39.5 (#178), Qwen-7B: —
| Benchmark | Mistral Small 3.1 | Qwen-7B |
|---|---|---|
| LMArena Longer Query | 1299 | — |
Writing & Preference Not comparable
Mistral Small 3.1: 37.0 (#259), Qwen-7B: —
| Benchmark | Mistral Small 3.1 | Qwen-7B |
|---|---|---|
| LMArena Text | 1277 | — |
| LMArena Creative Writing | 1253 | — |
| EQ-Bench Creative Writing | 761 | — |
| WildBench | 78.8% | — |
| LMArena Multi-Turn | 1270 | — |
Frequently asked questions
Is Mistral Small 3.1 better than Qwen-7B?
Mistral Small 3.1 has enough public results to be ranked (#269); Qwen-7B does not yet, so treat this comparison as directional.
How many benchmarks do Mistral Small 3.1 and Qwen-7B share?
1 benchmark has published results for both models. Mistral Small 3.1 has 28 scored results on Noometry and Qwen-7B has 8.