Model comparison
Mistral Small vs Qwen3-1.7B
Mistral Small is the stronger model overall, scoring 33.4 to 26.6 on the Noometry Index.
Last verified . 3 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- They share 3 benchmarks with published results for both. Mistral Small scores higher in 4 categories and Qwen3-1.7B in 0 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Mistral Small leads 31.0 to 19.6.
- The biggest single-benchmark swing is GPQA Diamond: 47.5% for Mistral Small and 38% for Qwen3-1.7B.
Side by side
| Mistral Small | Qwen3-1.7B | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 33.4 | 26.6 |
| Released | 2024-02-26 | 2025-04-29 |
| Weights | Open | Open |
| Context window | 262K | — |
| Max output | 256K | — |
| Input $ / M tokens | $0.15 | — |
| Output $ / M tokens | $0.60 | — |
| Results tracked | 39 | 4 |
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Category by category
Coding Not comparable
Mistral Small: 34.0 (#247), Qwen3-1.7B: —
| Benchmark | Mistral Small | Qwen3-1.7B |
|---|---|---|
| SciCode | 26.5% | — |
| BigCodeBench Instruct | 36.1% | — |
| LiveBench Coding | 36.2% | — |
| LMArena Coding | 1362 | — |
| BigCodeBench Complete | 46.6% | — |
| ALE-Bench | 497.62 | — |
Agentic & Tool Use Mistral Small leads
Mistral Small: 28.1 (#93), Qwen3-1.7B: 24.7 (#115)
| Benchmark | Mistral Small | Qwen3-1.7B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 37.1% | 28.4% |
Reasoning Too close to call
Mistral Small: 19.8 (#250), Qwen3-1.7B: 19.2 (#267)
| Benchmark | Mistral Small | Qwen3-1.7B |
|---|---|---|
| Kagi LLM Benchmark | 37.8% | — |
| CritPt | 0% | — |
| Chess Puzzles | — | 0% |
| LiveBench Reasoning | 44.8% | — |
| LMArena Hard Prompts | 1335 | — |
| DTBench | 70.9% | — |
| LiveBench Data Analysis | 53.7% | — |
| LMCA | 20.6% | — |
| LiveBench | 44% | — |
Math Too close to call
Mistral Small: 16.4 (#293), Qwen3-1.7B: 16.3 (#294)
| Benchmark | Mistral Small | Qwen3-1.7B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 5.8% | 8.1% |
| LiveBench Math | 39.9% | — |
| LMArena Math | 1341 | — |
| MATH Level 5 | 46.8% | — |
Knowledge Mistral Small leads
Mistral Small: 31.0 (#222), Qwen3-1.7B: 19.6 (#278)
| Benchmark | Mistral Small | Qwen3-1.7B |
|---|---|---|
| GPQA Diamond | 47.5% | 38% |
| Vectara Hallucination Rate | 5.1% | — |
| LMArena Expert | 1291 | — |
| MMLU | 68.7% | — |
Multimodal Not comparable
Mistral Small: 33.5 (#96), Qwen3-1.7B: —
| Benchmark | Mistral Small | Qwen3-1.7B |
|---|---|---|
| LMArena Vision | 1142 | — |
Multilingual Not comparable
Mistral Small: 45.5 (#169), Qwen3-1.7B: —
| Benchmark | Mistral Small | Qwen3-1.7B |
|---|---|---|
| LMArena Non-English | 1315 | — |
| LMArena Chinese | 1340 | — |
| LMArena French | 1337 | — |
| LMArena German | 1340 | — |
| LMArena Japanese | 1275 | — |
| LMArena Korean | 1259 | — |
| LMArena Russian | 1324 | — |
| LMArena Spanish | 1346 | — |
Instruction Following Not comparable
Mistral Small: 66.4 (#209), Qwen3-1.7B: —
| Benchmark | Mistral Small | Qwen3-1.7B |
|---|---|---|
| LiveBench Instruction Following | 63.7% | — |
| LMArena Instruction Following | 1310 | — |
Long Context Not comparable
Mistral Small: 40.4 (#156), Qwen3-1.7B: —
| Benchmark | Mistral Small | Qwen3-1.7B |
|---|---|---|
| LMArena Longer Query | 1327 | — |
Writing & Preference Not comparable
Mistral Small: 52.5 (#171), Qwen3-1.7B: —
| Benchmark | Mistral Small | Qwen3-1.7B |
|---|---|---|
| LMArena Text | 1338 | — |
| LMArena Creative Writing | 1305 | — |
| LMArena Multi-Turn | 1344 | — |
| LiveBench Language | 30.5% | — |
Frequently asked questions
Is Mistral Small better than Qwen3-1.7B?
Mistral Small is the stronger model overall, scoring 33.4 to 26.6 on the Noometry Index.
How many benchmarks do Mistral Small and Qwen3-1.7B share?
3 benchmarks have published results for both models. Mistral Small has 39 scored results on Noometry and Qwen3-1.7B has 4.