Model comparison
Mistral Small 3.1 vs Qwen3-1.7B
Mistral Small 3.1 is the stronger model overall, scoring 31.4 to 26.2 on the Noometry Index.
Last verified . 3 shared benchmarks.
Summary
- They share 3 benchmarks with published results for both. Mistral Small 3.1 scores higher in 2 categories and Qwen3-1.7B in 1 category; 2 gaps are clear of the uncertainty.
Side by side
| Mistral Small 3.1 | Qwen3-1.7B | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 31.4 | 26.2 |
| Released | 2025-03-17 | 2025-04-29 |
| Weights | Open | Open |
| Context window | 128K | — |
| Max output | 102K | — |
| Input $ / M tokens | $0.35 | — |
| Output $ / M tokens | $0.56 | — |
| Results tracked | 28 | 4 |
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Category by category
Coding Not comparable
Mistral Small 3.1: 37.7 (#175), Qwen3-1.7B: —
| Benchmark | Mistral Small 3.1 | Qwen3-1.7B |
|---|---|---|
| LMArena Coding | 1309 | — |
Agentic & Tool Use Not comparable
Mistral Small 3.1: —, Qwen3-1.7B: 24.5 (#108)
| Benchmark | Mistral Small 3.1 | Qwen3-1.7B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 28.4% |
Reasoning Too close to call
Mistral Small 3.1: 18.9 (#249), Qwen3-1.7B: 18.5 (#263)
| Benchmark | Mistral Small 3.1 | Qwen3-1.7B |
|---|---|---|
| Chess Puzzles | 1% | 0% |
| LMArena Hard Prompts | 1278 | — |
| Epoch Capabilities Index | 127.48 | — |
Math Qwen3-1.7B leads
Mistral Small 3.1: 13.7 (#295), Qwen3-1.7B: 15.4 (#288)
| Benchmark | Mistral Small 3.1 | Qwen3-1.7B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 3.9% | 8.1% |
| Omni-MATH | 24.8% | — |
| LMArena Math | 1261 | — |
Knowledge Mistral Small 3.1 leads
Mistral Small 3.1: 22.6 (#266), Qwen3-1.7B: 19.6 (#273)
| Benchmark | Mistral Small 3.1 | Qwen3-1.7B |
|---|---|---|
| GPQA Diamond | 41.9% | 38% |
| MMLU-Pro | 61% | — |
| GPQA (HELM) | 39.2% | — |
| LMArena Expert | 1258 | — |
Multimodal Not comparable
Mistral Small 3.1: 32.6 (#93), Qwen3-1.7B: —
| Benchmark | Mistral Small 3.1 | Qwen3-1.7B |
|---|---|---|
| LMArena Vision | 1136 | — |
Multilingual Not comparable
Mistral Small 3.1: 41.4 (#204), Qwen3-1.7B: —
| Benchmark | Mistral Small 3.1 | Qwen3-1.7B |
|---|---|---|
| LMArena Non-English | 1255 | — |
| LMArena Chinese | 1254 | — |
| LMArena French | 1270 | — |
| LMArena German | 1266 | — |
| LMArena Japanese | 1210 | — |
| LMArena Korean | 1206 | — |
| LMArena Russian | 1263 | — |
| LMArena Spanish | 1283 | — |
Instruction Following Not comparable
Mistral Small 3.1: 63.8 (#225), Qwen3-1.7B: —
| Benchmark | Mistral Small 3.1 | Qwen3-1.7B |
|---|---|---|
| IFEval | 75% | — |
| LMArena Instruction Following | 1264 | — |
Long Context Not comparable
Mistral Small 3.1: 39.5 (#172), Qwen3-1.7B: —
| Benchmark | Mistral Small 3.1 | Qwen3-1.7B |
|---|---|---|
| LMArena Longer Query | 1300 | — |
Writing & Preference Not comparable
Mistral Small 3.1: 37.2 (#254), Qwen3-1.7B: —
| Benchmark | Mistral Small 3.1 | Qwen3-1.7B |
|---|---|---|
| LMArena Text | 1278 | — |
| 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 Qwen3-1.7B?
Mistral Small 3.1 is the stronger model overall, scoring 31.4 to 26.2 on the Noometry Index.
How many benchmarks do Mistral Small 3.1 and Qwen3-1.7B share?
3 benchmarks have published results for both models. Mistral Small 3.1 has 28 scored results on Noometry and Qwen3-1.7B has 4.