Model comparison
Mistral Small 3.1 vs Qwen1.5-7B
Mistral Small 3.1 and Qwen1.5-7B score almost the same on the Noometry Index (31.7 vs 31.4), so choose on price, context window or the category you care about most.
Last verified . 12 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- They share 12 benchmarks with published results for both. Mistral Small 3.1 scores higher in 5 categories and Qwen1.5-7B in 3 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where Qwen1.5-7B leads 31.4 to 14.7.
Side by side
| Mistral Small 3.1 | Qwen1.5-7B | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 31.7 | 31.4 |
| Released | 2025-03-17 | 2024-02-04 |
| Weights | Open | Open |
| Context window | 128K | — |
| Max output | 102K | — |
| Input $ / M tokens | $0.35 | — |
| Output $ / M tokens | $0.56 | — |
| Results tracked | 28 | 13 |
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Category by category
Coding Mistral Small 3.1 leads
Mistral Small 3.1: 38.3 (#179), Qwen1.5-7B: 32.2 (#276)
| Benchmark | Mistral Small 3.1 | Qwen1.5-7B |
|---|---|---|
| LMArena Coding | 1309 | 1107 |
Reasoning Too close to call
Mistral Small 3.1: 19.7 (#254), Qwen1.5-7B: 20.4 (#240)
| Benchmark | Mistral Small 3.1 | Qwen1.5-7B |
|---|---|---|
| LMArena Hard Prompts | 1278 | 1065 |
| Chess Puzzles | 1% | — |
| Epoch Capabilities Index | 127.48 | — |
Math Qwen1.5-7B leads
Mistral Small 3.1: 14.7 (#301), Qwen1.5-7B: 31.4 (#224)
| Benchmark | Mistral Small 3.1 | Qwen1.5-7B |
|---|---|---|
| LMArena Math | 1262 | 1080 |
| OTIS Mock AIME 2024-2025 | 3.9% | — |
| Omni-MATH | 24.8% | — |
Knowledge Qwen1.5-7B leads
Mistral Small 3.1: 22.6 (#271), Qwen1.5-7B: 28.7 (#243)
| Benchmark | Mistral Small 3.1 | Qwen1.5-7B |
|---|---|---|
| LMArena Expert | 1257 | 1055 |
| GPQA Diamond | 41.9% | — |
| MMLU-Pro | 61% | — |
| GPQA (HELM) | 39.2% | — |
| MMLU | — | 62.6% |
Multimodal Not comparable
Mistral Small 3.1: 33.2 (#99), Qwen1.5-7B: —
| Benchmark | Mistral Small 3.1 | Qwen1.5-7B |
|---|---|---|
| LMArena Vision | 1136 | — |
Multilingual Mistral Small 3.1 leads
Mistral Small 3.1: 41.2 (#209), Qwen1.5-7B: 28.5 (#271)
| Benchmark | Mistral Small 3.1 | Qwen1.5-7B |
|---|---|---|
| LMArena Non-English | 1255 | 1058 |
| LMArena Chinese | 1253 | 1141 |
| LMArena Russian | 1263 | 1006 |
| LMArena French | 1273 | — |
| LMArena German | 1266 | — |
| LMArena Japanese | 1208 | — |
| LMArena Korean | 1206 | — |
| LMArena Spanish | 1283 | — |
Instruction Following Mistral Small 3.1 leads
Mistral Small 3.1: 63.6 (#230), Qwen1.5-7B: 54.1 (#281)
| Benchmark | Mistral Small 3.1 | Qwen1.5-7B |
|---|---|---|
| LMArena Instruction Following | 1264 | 1058 |
| IFEval | 75% | — |
Long Context Mistral Small 3.1 leads
Mistral Small 3.1: 39.5 (#178), Qwen1.5-7B: 33.1 (#266)
| Benchmark | Mistral Small 3.1 | Qwen1.5-7B |
|---|---|---|
| LMArena Longer Query | 1299 | 1090 |
Writing & Preference Mistral Small 3.1 leads
Mistral Small 3.1: 37.0 (#259), Qwen1.5-7B: 29.6 (#293)
| Benchmark | Mistral Small 3.1 | Qwen1.5-7B |
|---|---|---|
| LMArena Text | 1277 | 1083 |
| LMArena Creative Writing | 1253 | 1035 |
| LMArena Multi-Turn | 1270 | 1062 |
| EQ-Bench Creative Writing | 761 | — |
| WildBench | 78.8% | — |
Frequently asked questions
Is Mistral Small 3.1 better than Qwen1.5-7B?
Mistral Small 3.1 and Qwen1.5-7B score almost the same on the Noometry Index (31.7 vs 31.4), so choose on price, context window or the category you care about most.
Is Mistral Small 3.1 or Qwen1.5-7B better for coding?
Mistral Small 3.1 scores higher on coding benchmarks: 38.3 versus 32.2 in the Noometry coding category.
How many benchmarks do Mistral Small 3.1 and Qwen1.5-7B share?
12 benchmarks have published results for both models. Mistral Small 3.1 has 28 scored results on Noometry and Qwen1.5-7B has 13.