Model comparison
Mistral Medium vs Qwen3-1.7B
Mistral Medium is the stronger model overall, scoring 36.0 to 26.2 on the Noometry Index.
Last verified . 3 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- They share 3 benchmarks with published results for both. Mistral Medium scores higher in 4 categories and Qwen3-1.7B in 0 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in math, where Mistral Medium leads 27.2 to 15.4.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 32.2% for Mistral Medium and 8.1% for Qwen3-1.7B.
Side by side
| Mistral Medium | Qwen3-1.7B | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 36.0 | 26.2 |
| Released | 2023-12-11 | 2025-04-29 |
| Weights | Open | Open |
| Context window | 262K | — |
| Max output | 262K | — |
| Input $ / M tokens | $1.50 | — |
| Output $ / M tokens | $7.50 | — |
| Results tracked | 36 | 4 |
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Category by category
Coding Not comparable
Mistral Medium: 33.8 (#241), Qwen3-1.7B: —
| Benchmark | Mistral Medium | Qwen3-1.7B |
|---|---|---|
| FrontierCode | 8% | — |
| SciCode | 40.2% | — |
| WeirdML | 43.7% | — |
| LMArena Coding | 1434 | — |
| ALE-Bench | 763.98 | — |
Agentic & Tool Use Mistral Medium leads
Mistral Medium: 28.1 (#84), Qwen3-1.7B: 24.5 (#108)
| Benchmark | Mistral Medium | Qwen3-1.7B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 37.7% | 28.4% |
Reasoning Mistral Medium leads
Mistral Medium: 23.3 (#165), Qwen3-1.7B: 18.5 (#263)
| Benchmark | Mistral Medium | Qwen3-1.7B |
|---|---|---|
| Kagi LLM Benchmark | 50% | — |
| CritPt | 0% | — |
| Chess Puzzles | — | 0% |
| LMArena Hard Prompts | 1426 | — |
| DTBench | 75.5% | — |
| LMCA | 26.1% | — |
| Surface Evolver Bench | 26.9% | — |
Math Mistral Medium leads
Mistral Medium: 27.2 (#238), Qwen3-1.7B: 15.4 (#288)
| Benchmark | Mistral Medium | Qwen3-1.7B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 32.2% | 8.1% |
| ProofBench | 9% | — |
| LMArena Math | 1409 | — |
| MATH Level 5 | 81.6% | — |
| FrontierMath (Feb 2025 set) | 0.3% | — |
Knowledge Mistral Medium leads
Mistral Medium: 24.9 (#260), Qwen3-1.7B: 19.6 (#273)
| Benchmark | Mistral Medium | Qwen3-1.7B |
|---|---|---|
| GPQA Diamond | 59.5% | 38% |
| Humanity's Last Exam | 4.5% | — |
| Vectara Hallucination Rate | 22.7% | — |
| LMArena Expert | 1408 | — |
Multimodal Not comparable
Mistral Medium: 34.6 (#82), Qwen3-1.7B: —
| Benchmark | Mistral Medium | Qwen3-1.7B |
|---|---|---|
| LMArena Vision | 1172 | — |
Multilingual Not comparable
Mistral Medium: 52.3 (#86), Qwen3-1.7B: —
| Benchmark | Mistral Medium | Qwen3-1.7B |
|---|---|---|
| LMArena Non-English | 1408 | — |
| LMArena Chinese | 1448 | — |
| LMArena French | 1460 | — |
| LMArena German | 1433 | — |
| LMArena Japanese | 1378 | — |
| LMArena Korean | 1382 | — |
| LMArena Russian | 1411 | — |
| LMArena Spanish | 1433 | — |
Instruction Following Not comparable
Mistral Medium: 73.9 (#111), Qwen3-1.7B: —
| Benchmark | Mistral Medium | Qwen3-1.7B |
|---|---|---|
| LMArena Instruction Following | 1398 | — |
Long Context Not comparable
Mistral Medium: 42.9 (#108), Qwen3-1.7B: —
| Benchmark | Mistral Medium | Qwen3-1.7B |
|---|---|---|
| LMArena Longer Query | 1406 | — |
Writing & Preference Not comparable
Mistral Medium: 60.2 (#97), Qwen3-1.7B: —
| Benchmark | Mistral Medium | Qwen3-1.7B |
|---|---|---|
| LMArena Text | 1424 | — |
| LMArena Creative Writing | 1391 | — |
| Short-Story Creative Writing | 77.3% | — |
| LMArena Multi-Turn | 1418 | — |
Frequently asked questions
Is Mistral Medium better than Qwen3-1.7B?
Mistral Medium is the stronger model overall, scoring 36.0 to 26.2 on the Noometry Index.
How many benchmarks do Mistral Medium and Qwen3-1.7B share?
3 benchmarks have published results for both models. Mistral Medium has 36 scored results on Noometry and Qwen3-1.7B has 4.