Model comparison
Mistral Large vs QwQ-32B
QwQ-32B is the stronger model overall, scoring 39.4 to 31.6 on the Noometry Index.
Last verified . 33 shared benchmarks.
Summary
- They share 33 benchmarks with published results for both. Mistral Large scores higher in 0 categories and QwQ-32B in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where QwQ-32B leads 36.2 to 17.1.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 8.5% for Mistral Large and 59.2% for QwQ-32B.
Side by side
| Mistral Large | QwQ-32B | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 31.6 | 39.4 |
| Released | 2024-02-26 | 2024-11-28 |
| Weights | Open | Open |
| Context window | 131K | — |
| Max output | 16K | — |
| Input $ / M tokens | $2 | — |
| Output $ / M tokens | $6 | — |
| Results tracked | 51 | 36 |
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Category by category
Coding QwQ-32B leads
Mistral Large: 33.8 (#240), QwQ-32B: 34.9 (#220)
| Benchmark | Mistral Large | QwQ-32B |
|---|---|---|
| BigCodeBench Instruct | 30% | 44.6% |
| LiveBench Coding | 47.1% | 72.2% |
| LMArena Coding | 1277 | 1333 |
| BigCodeBench Complete | 38.3% | 54.4% |
| Aider Polyglot | — | 20.9% |
| SciCode | 36.2% | — |
| ALE-Bench | 264.7 | — |
| HumanEval+ | 62.2% | — |
| MBPP+ | 59.5% | — |
Agentic & Tool Use Not comparable
Mistral Large: 28.4 (#83), QwQ-32B: —
| Benchmark | Mistral Large | QwQ-32B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 38.4% | — |
Reasoning QwQ-32B leads
Mistral Large: 15.4 (#305), QwQ-32B: 22.9 (#171)
| Benchmark | Mistral Large | QwQ-32B |
|---|---|---|
| LiveBench Reasoning | 43.5% | 83.5% |
| LMArena Hard Prompts | 1257 | 1326 |
| LiveBench Data Analysis | 50.1% | 65% |
| Epoch Capabilities Index | 128.52 | 137.6 |
| ForecastBench | 57.1 | 58.3 |
| LiveBench | 48.4% | 72% |
| SimpleBench | 22.5% | — |
| CritPt | 0% | — |
| Chess Puzzles | — | 5% |
| DTBench | 65.1% | — |
| LMCA | 16.7% | — |
Math QwQ-32B leads
Mistral Large: 17.1 (#285), QwQ-32B: 36.2 (#123)
| Benchmark | Mistral Large | QwQ-32B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 8.5% | 59.2% |
| LiveBench Math | 42.5% | 77.8% |
| LMArena Math | 1262 | 1359 |
| Omni-MATH | 28.1% | — |
| MATH Level 5 | 50.3% | — |
| FrontierMath (Feb 2025 set) | 0.3% | — |
Knowledge QwQ-32B leads
Mistral Large: 30.0 (#224), QwQ-32B: 37.2 (#150)
| Benchmark | Mistral Large | QwQ-32B |
|---|---|---|
| GPQA Diamond | 51.3% | 65.3% |
| Confabulations | 21.4% | 15.6% |
| LMArena Expert | 1232 | 1323 |
| MMLU-Pro | 59.9% | — |
| Vectara Hallucination Rate | 4.5% | — |
| GPQA (HELM) | 43.5% | — |
| MMLU | 80% | — |
Multilingual QwQ-32B leads
Mistral Large: 40.1 (#214), QwQ-32B: 45.0 (#171)
| Benchmark | Mistral Large | QwQ-32B |
|---|---|---|
| LMArena Non-English | 1237 | 1306 |
| LMArena Chinese | 1240 | 1378 |
| LMArena French | 1324 | 1337 |
| LMArena German | 1254 | 1313 |
| LMArena Japanese | 1187 | 1263 |
| LMArena Korean | 1202 | 1278 |
| LMArena Russian | 1257 | 1297 |
| LMArena Spanish | 1268 | 1353 |
Instruction Following QwQ-32B leads
Mistral Large: 68.1 (#186), QwQ-32B: 72.8 (#131)
| Benchmark | Mistral Large | QwQ-32B |
|---|---|---|
| LiveBench Instruction Following | 67.9% | 81.8% |
| LMArena Instruction Following | 1249 | 1297 |
| IFEval | 87.7% | — |
Long Context QwQ-32B leads
Mistral Large: 38.3 (#194), QwQ-32B: 49.0 (#11)
| Benchmark | Mistral Large | QwQ-32B |
|---|---|---|
| LMArena Longer Query | 1262 | 1308 |
| Fiction.LiveBench | — | 83.3% |
Writing & Preference QwQ-32B leads
Mistral Large: 40.9 (#237), QwQ-32B: 50.9 (#175)
| Benchmark | Mistral Large | QwQ-32B |
|---|---|---|
| LMArena Text | 1266 | 1329 |
| LMArena Creative Writing | 1243 | 1288 |
| Short-Story Creative Writing | 69% | 80.2% |
| EQ-Bench Creative Writing | 985 | 1257 |
| LMArena Multi-Turn | 1260 | 1314 |
| LiveBench Language | 39.4% | 51.4% |
| WildBench | 80.1% | — |
Frequently asked questions
Is Mistral Large better than QwQ-32B?
QwQ-32B is the stronger model overall, scoring 39.4 to 31.6 on the Noometry Index.
Is Mistral Large 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 Large and QwQ-32B share?
33 benchmarks have published results for both models. Mistral Large has 51 scored results on Noometry and QwQ-32B has 36.