Model comparison
Mistral Medium vs Qwen3 32B
Qwen3 32B is the stronger model overall, scoring 39.2 to 36.3 on the Noometry Index.
Last verified . 22 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- They share 22 benchmarks with published results for both. Mistral Medium scores higher in 4 categories and Qwen3 32B in 5 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3 32B leads 40.0 to 25.0.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 32.2% for Mistral Medium and 66.9% for Qwen3 32B.
- Qwen3 32B is cheaper at $0.70 / $2.80 per million input/output tokens, against $1.50 / $7.50 for Mistral Medium.
- Mistral Medium accepts more context: 262K tokens versus 131K.
Side by side
| Mistral Medium | Qwen3 32B | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 36.3 | 39.2 |
| Released | 2023-12-11 | 2025-04 |
| Weights | Open | Open |
| Context window | 262K | 131K |
| Max output | 262K | 16K |
| Input $ / M tokens | $1.50 | $0.70 |
| Output $ / M tokens | $7.50 | $2.80 |
| Results tracked | 36 | 26 |
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Category by category
Coding Qwen3 32B leads
Mistral Medium: 34.2 (#243), Qwen3 32B: 37.7 (#190)
| Benchmark | Mistral Medium | Qwen3 32B |
|---|---|---|
| SciCode | 40.2% | 35.4% |
| LMArena Coding | 1434 | 1358 |
| FrontierCode | 8% | — |
| Aider Polyglot | — | 40% |
| WeirdML | 43.7% | — |
| ALE-Bench | 763.98 | — |
Agentic & Tool Use Qwen3 32B leads
Mistral Medium: 28.3 (#90), Qwen3 32B: 32.6 (#62)
| Benchmark | Mistral Medium | Qwen3 32B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 37.7% | 48.7% |
Reasoning Mistral Medium leads
Mistral Medium: 24.0 (#167), Qwen3 32B: 20.2 (#241)
| Benchmark | Mistral Medium | Qwen3 32B |
|---|---|---|
| Kagi LLM Benchmark | 50% | 54.9% |
| CritPt | 0% | 0.3% |
| LMArena Hard Prompts | 1426 | 1334 |
| DTBench | 75.5% | 67.5% |
| LMCA | 26.1% | 17.3% |
| Chess Puzzles | — | 5% |
| Surface Evolver Bench | 26.9% | — |
| Epoch Capabilities Index | — | 138.51 |
Math Qwen3 32B leads
Mistral Medium: 28.1 (#245), Qwen3 32B: 39.7 (#99)
| Benchmark | Mistral Medium | Qwen3 32B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 32.2% | 66.9% |
| LMArena Math | 1408 | 1399 |
| ProofBench | 9% | — |
| MATH Level 5 | 81.6% | — |
| FrontierMath (Feb 2025 set) | 0.3% | — |
Knowledge Qwen3 32B leads
Mistral Medium: 25.0 (#265), Qwen3 32B: 40.0 (#125)
| Benchmark | Mistral Medium | Qwen3 32B |
|---|---|---|
| GPQA Diamond | 59.5% | 65.7% |
| Vectara Hallucination Rate | 22.7% | 5.9% |
| LMArena Expert | 1408 | 1362 |
| Humanity's Last Exam | 4.5% | — |
Multimodal Not comparable
Mistral Medium: 35.3 (#88), Qwen3 32B: —
| Benchmark | Mistral Medium | Qwen3 32B |
|---|---|---|
| LMArena Vision | 1172 | — |
Multilingual Mistral Medium leads
Mistral Medium: 52.1 (#91), Qwen3 32B: 45.6 (#167)
| Benchmark | Mistral Medium | Qwen3 32B |
|---|---|---|
| LMArena Non-English | 1408 | 1317 |
| LMArena Chinese | 1447 | 1357 |
| LMArena German | 1432 | 1341 |
| LMArena Russian | 1411 | 1311 |
| LMArena French | 1459 | — |
| LMArena Japanese | 1378 | — |
| LMArena Korean | 1380 | — |
| LMArena Spanish | 1433 | — |
Instruction Following Mistral Medium leads
Mistral Medium: 73.7 (#116), Qwen3 32B: 68.9 (#179)
| Benchmark | Mistral Medium | Qwen3 32B |
|---|---|---|
| LMArena Instruction Following | 1398 | 1305 |
Long Context Too close to call
Mistral Medium: 42.9 (#114), Qwen3 32B: 43.8 (#87)
| Benchmark | Mistral Medium | Qwen3 32B |
|---|---|---|
| LMArena Longer Query | 1406 | 1327 |
| Fiction.LiveBench | — | 74.2% |
Writing & Preference Mistral Medium leads
Mistral Medium: 60.0 (#103), Qwen3 32B: 52.9 (#163)
| Benchmark | Mistral Medium | Qwen3 32B |
|---|---|---|
| LMArena Text | 1424 | 1340 |
| LMArena Creative Writing | 1391 | 1297 |
| LMArena Multi-Turn | 1418 | 1331 |
| Short-Story Creative Writing | 77.3% | — |
Frequently asked questions
Is Mistral Medium better than Qwen3 32B?
Qwen3 32B is the stronger model overall, scoring 39.2 to 36.3 on the Noometry Index.
Which is cheaper, Mistral Medium or Qwen3 32B?
Qwen3 32B is cheaper. It lists at $0.70 per million input tokens and $2.80 per million output tokens; Mistral Medium lists at $1.50 and $7.50.
Is Mistral Medium or Qwen3 32B better for coding?
Qwen3 32B scores higher on coding benchmarks: 37.7 versus 34.2 in the Noometry coding category.
Which has the bigger context window?
Mistral Medium does, with 262K tokens against 131K.
How many benchmarks do Mistral Medium and Qwen3 32B share?
22 benchmarks have published results for both models. Mistral Medium has 36 scored results on Noometry and Qwen3 32B has 26.