Model comparison
Mistral Nemo vs QwQ-32B
QwQ-32B is the stronger model overall, scoring 39.8 to 26.4 on the Noometry Index.
Last verified . 3 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- They share 3 benchmarks with published results for both. Mistral Nemo scores higher in 0 categories and QwQ-32B in 4 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where QwQ-32B leads 37.2 to 12.3.
- The biggest single-benchmark swing is GPQA Diamond: 29.9% for Mistral Nemo and 65.3% for QwQ-32B.
Side by side
| Mistral Nemo | QwQ-32B | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 26.4 | 39.8 |
| Released | 2024-07-01 | 2024-11-28 |
| Weights | Open | Open |
| Context window | 128K | — |
| Max output | 128K | — |
| Input $ / M tokens | $0.15 | — |
| Output $ / M tokens | $0.15 | — |
| Results tracked | 10 | 36 |
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Category by category
Coding Not comparable
Mistral Nemo: —, QwQ-32B: 35.4 (#226)
| Benchmark | Mistral Nemo | QwQ-32B |
|---|---|---|
| Aider Polyglot | — | 20.9% |
| BigCodeBench Instruct | — | 44.6% |
| LiveBench Coding | — | 72.2% |
| LMArena Coding | — | 1333 |
| BigCodeBench Complete | — | 54.4% |
Agentic & Tool Use Not comparable
Mistral Nemo: 23.5 (#125), QwQ-32B: —
| Benchmark | Mistral Nemo | QwQ-32B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 27.6% | — |
| BALROG | 17.6% | — |
Reasoning QwQ-32B leads
Mistral Nemo: 20.7 (#232), QwQ-32B: 23.7 (#174)
| Benchmark | Mistral Nemo | QwQ-32B |
|---|---|---|
| Epoch Capabilities Index | 118.68 | 137.6 |
| Chess Puzzles | — | 5% |
| LiveBench Reasoning | — | 83.5% |
| LMArena Hard Prompts | — | 1325 |
| DTBench | 48.6% | — |
| LiveBench Data Analysis | — | 65% |
| ForecastBench | — | 58.3 |
| LiveBench | — | 72% |
| PIQA | 83.5% | — |
Math QwQ-32B leads
Mistral Nemo: 25.5 (#268), QwQ-32B: 38.0 (#143)
| Benchmark | Mistral Nemo | QwQ-32B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 59.2% |
| LiveBench Math | — | 77.8% |
| LMArena Math | — | 1359 |
| MATH Level 5 | 10.8% | — |
| GSM8K | 84.2% | — |
Knowledge QwQ-32B leads
Mistral Nemo: 12.3 (#298), QwQ-32B: 37.2 (#158)
| Benchmark | Mistral Nemo | QwQ-32B |
|---|---|---|
| GPQA Diamond | 29.9% | 65.3% |
| Confabulations | — | 15.6% |
| LMArena Expert | — | 1324 |
| BoolQ | 82.5% | — |
Multilingual Not comparable
Mistral Nemo: —, QwQ-32B: 44.8 (#176)
| Benchmark | Mistral Nemo | QwQ-32B |
|---|---|---|
| LMArena Non-English | — | 1305 |
| LMArena Chinese | — | 1378 |
| LMArena French | — | 1336 |
| LMArena German | — | 1313 |
| LMArena Japanese | — | 1262 |
| LMArena Korean | — | 1279 |
| LMArena Russian | — | 1297 |
| LMArena Spanish | — | 1354 |
Instruction Following Not comparable
Mistral Nemo: —, QwQ-32B: 72.6 (#137)
| Benchmark | Mistral Nemo | QwQ-32B |
|---|---|---|
| LiveBench Instruction Following | — | 81.8% |
| LMArena Instruction Following | — | 1297 |
Long Context Not comparable
Mistral Nemo: —, QwQ-32B: 49.0 (#11)
| Benchmark | Mistral Nemo | QwQ-32B |
|---|---|---|
| Fiction.LiveBench | — | 83.3% |
| LMArena Longer Query | — | 1308 |
Writing & Preference QwQ-32B leads
Mistral Nemo: 28.5 (#296), QwQ-32B: 50.6 (#180)
| Benchmark | Mistral Nemo | QwQ-32B |
|---|---|---|
| EQ-Bench Creative Writing | 881 | 1257 |
| LMArena Text | — | 1329 |
| LMArena Creative Writing | — | 1288 |
| Short-Story Creative Writing | — | 80.2% |
| LMArena Multi-Turn | — | 1314 |
| LiveBench Language | — | 51.4% |
Frequently asked questions
Is Mistral Nemo better than QwQ-32B?
QwQ-32B is the stronger model overall, scoring 39.8 to 26.4 on the Noometry Index.
How many benchmarks do Mistral Nemo and QwQ-32B share?
3 benchmarks have published results for both models. Mistral Nemo has 10 scored results on Noometry and QwQ-32B has 36.