Model comparison
Mistral Medium vs QwQ-32B
QwQ-32B is the stronger model overall, scoring 39.4 to 36.0 on the Noometry Index.
Last verified . 20 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- They share 20 benchmarks with published results for both. Mistral Medium scores higher in 4 categories and QwQ-32B in 4 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where QwQ-32B leads 37.2 to 24.9.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 32.2% for Mistral Medium and 59.2% for QwQ-32B.
Side by side
| Mistral Medium | QwQ-32B | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 36.0 | 39.4 |
| Released | 2023-12-11 | 2024-11-28 |
| Weights | Open | Open |
| Context window | 262K | — |
| Max output | 262K | — |
| Input $ / M tokens | $1.50 | — |
| Output $ / M tokens | $7.50 | — |
| Results tracked | 36 | 36 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding QwQ-32B leads
Mistral Medium: 33.8 (#241), QwQ-32B: 34.9 (#220)
| Benchmark | Mistral Medium | QwQ-32B |
|---|---|---|
| LMArena Coding | 1434 | 1333 |
| FrontierCode | 8% | — |
| Aider Polyglot | — | 20.9% |
| SciCode | 40.2% | — |
| WeirdML | 43.7% | — |
| BigCodeBench Instruct | — | 44.6% |
| LiveBench Coding | — | 72.2% |
| BigCodeBench Complete | — | 54.4% |
| ALE-Bench | 763.98 | — |
Agentic & Tool Use Not comparable
Mistral Medium: 28.1 (#84), QwQ-32B: —
| Benchmark | Mistral Medium | QwQ-32B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 37.7% | — |
Reasoning Too close to call
Mistral Medium: 23.3 (#165), QwQ-32B: 22.9 (#171)
| Benchmark | Mistral Medium | QwQ-32B |
|---|---|---|
| LMArena Hard Prompts | 1426 | 1326 |
| Kagi LLM Benchmark | 50% | — |
| CritPt | 0% | — |
| Chess Puzzles | — | 5% |
| LiveBench Reasoning | — | 83.5% |
| DTBench | 75.5% | — |
| LiveBench Data Analysis | — | 65% |
| LMCA | 26.1% | — |
| Surface Evolver Bench | 26.9% | — |
| Epoch Capabilities Index | — | 137.6 |
| ForecastBench | — | 58.3 |
| LiveBench | — | 72% |
Math QwQ-32B leads
Mistral Medium: 27.2 (#238), QwQ-32B: 36.2 (#123)
| Benchmark | Mistral Medium | QwQ-32B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 32.2% | 59.2% |
| LMArena Math | 1409 | 1359 |
| ProofBench | 9% | — |
| LiveBench Math | — | 77.8% |
| MATH Level 5 | 81.6% | — |
| FrontierMath (Feb 2025 set) | 0.3% | — |
Knowledge QwQ-32B leads
Mistral Medium: 24.9 (#260), QwQ-32B: 37.2 (#150)
| Benchmark | Mistral Medium | QwQ-32B |
|---|---|---|
| GPQA Diamond | 59.5% | 65.3% |
| LMArena Expert | 1408 | 1323 |
| Humanity's Last Exam | 4.5% | — |
| Confabulations | — | 15.6% |
| Vectara Hallucination Rate | 22.7% | — |
Multimodal Not comparable
Mistral Medium: 34.6 (#82), QwQ-32B: —
| Benchmark | Mistral Medium | QwQ-32B |
|---|---|---|
| LMArena Vision | 1172 | — |
Multilingual Mistral Medium leads
Mistral Medium: 52.3 (#86), QwQ-32B: 45.0 (#171)
| Benchmark | Mistral Medium | QwQ-32B |
|---|---|---|
| LMArena Non-English | 1408 | 1306 |
| LMArena Chinese | 1448 | 1378 |
| LMArena French | 1460 | 1337 |
| LMArena German | 1433 | 1313 |
| LMArena Japanese | 1378 | 1263 |
| LMArena Korean | 1382 | 1278 |
| LMArena Russian | 1411 | 1297 |
| LMArena Spanish | 1433 | 1353 |
Instruction Following Mistral Medium leads
Mistral Medium: 73.9 (#111), QwQ-32B: 72.8 (#131)
| Benchmark | Mistral Medium | QwQ-32B |
|---|---|---|
| LMArena Instruction Following | 1398 | 1297 |
| LiveBench Instruction Following | — | 81.8% |
Long Context QwQ-32B leads
Mistral Medium: 42.9 (#108), QwQ-32B: 49.0 (#11)
| Benchmark | Mistral Medium | QwQ-32B |
|---|---|---|
| LMArena Longer Query | 1406 | 1308 |
| Fiction.LiveBench | — | 83.3% |
Writing & Preference Mistral Medium leads
Mistral Medium: 60.2 (#97), QwQ-32B: 50.9 (#175)
| Benchmark | Mistral Medium | QwQ-32B |
|---|---|---|
| LMArena Text | 1424 | 1329 |
| LMArena Creative Writing | 1391 | 1288 |
| Short-Story Creative Writing | 77.3% | 80.2% |
| LMArena Multi-Turn | 1418 | 1314 |
| EQ-Bench Creative Writing | — | 1257 |
| LiveBench Language | — | 51.4% |
Frequently asked questions
Is Mistral Medium better than QwQ-32B?
QwQ-32B is the stronger model overall, scoring 39.4 to 36.0 on the Noometry Index.
Is Mistral Medium or QwQ-32B better for coding?
QwQ-32B scores higher on coding benchmarks: 34.9 versus 33.8 in the Noometry coding category.
How many benchmarks do Mistral Medium and QwQ-32B share?
20 benchmarks have published results for both models. Mistral Medium has 36 scored results on Noometry and QwQ-32B has 36.