Model comparison
Devstral Small 2505 vs QwQ-32B
QwQ-32B is the stronger model overall, scoring 39.8 to 34.3 on the Noometry Index.
Last verified . 0 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- The widest gap is in reasoning, where QwQ-32B leads 23.7 to 19.7.
Side by side
| Devstral Small 2505 | QwQ-32B | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 34.3 | 39.8 |
| Released | 2025-05-07 | 2024-11-28 |
| Weights | Open | Open |
| Context window | 128K | — |
| Max output | 128K | — |
| Input $ / M tokens | $0.10 | — |
| Output $ / M tokens | $0.30 | — |
| Results tracked | 4 | 36 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Devstral Small 2505 leads
Devstral Small 2505: 38.9 (#166), QwQ-32B: 35.4 (#226)
| Benchmark | Devstral Small 2505 | QwQ-32B |
|---|---|---|
| SWE-bench Verified (bash only) | 56.4% | — |
| Aider Polyglot | — | 20.9% |
| SciCode | 28.8% | — |
| BigCodeBench Instruct | — | 44.6% |
| LiveBench Coding | — | 72.2% |
| LMArena Coding | — | 1333 |
| BigCodeBench Complete | — | 54.4% |
Reasoning QwQ-32B leads
Devstral Small 2505: 19.7 (#252), QwQ-32B: 23.7 (#174)
| Benchmark | Devstral Small 2505 | QwQ-32B |
|---|---|---|
| Kagi LLM Benchmark | 37.7% | — |
| CritPt | 0% | — |
| Chess Puzzles | — | 5% |
| LiveBench Reasoning | — | 83.5% |
| LMArena Hard Prompts | — | 1325 |
| LiveBench Data Analysis | — | 65% |
| Epoch Capabilities Index | — | 137.6 |
| ForecastBench | — | 58.3 |
| LiveBench | — | 72% |
Math Not comparable
Devstral Small 2505: —, QwQ-32B: 38.0 (#143)
| Benchmark | Devstral Small 2505 | QwQ-32B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 59.2% |
| LiveBench Math | — | 77.8% |
| LMArena Math | — | 1359 |
Knowledge Not comparable
Devstral Small 2505: —, QwQ-32B: 37.2 (#158)
| Benchmark | Devstral Small 2505 | QwQ-32B |
|---|---|---|
| GPQA Diamond | — | 65.3% |
| Confabulations | — | 15.6% |
| LMArena Expert | — | 1324 |
Multilingual Not comparable
Devstral Small 2505: —, QwQ-32B: 44.8 (#176)
| Benchmark | Devstral Small 2505 | 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
Devstral Small 2505: —, QwQ-32B: 72.6 (#137)
| Benchmark | Devstral Small 2505 | QwQ-32B |
|---|---|---|
| LiveBench Instruction Following | — | 81.8% |
| LMArena Instruction Following | — | 1297 |
Long Context Not comparable
Devstral Small 2505: —, QwQ-32B: 49.0 (#11)
| Benchmark | Devstral Small 2505 | QwQ-32B |
|---|---|---|
| Fiction.LiveBench | — | 83.3% |
| LMArena Longer Query | — | 1308 |
Writing & Preference Not comparable
Devstral Small 2505: —, QwQ-32B: 50.6 (#180)
| Benchmark | Devstral Small 2505 | QwQ-32B |
|---|---|---|
| LMArena Text | — | 1329 |
| LMArena Creative Writing | — | 1288 |
| Short-Story Creative Writing | — | 80.2% |
| EQ-Bench Creative Writing | — | 1257 |
| LMArena Multi-Turn | — | 1314 |
| LiveBench Language | — | 51.4% |
Frequently asked questions
Is Devstral Small 2505 better than QwQ-32B?
QwQ-32B is the stronger model overall, scoring 39.8 to 34.3 on the Noometry Index.
Is Devstral Small 2505 or QwQ-32B better for coding?
Devstral Small 2505 scores higher on coding benchmarks: 38.9 versus 35.4 in the Noometry coding category.
How many benchmarks do Devstral Small 2505 and QwQ-32B share?
0 benchmarks have published results for both models. Devstral Small 2505 has 4 scored results on Noometry and QwQ-32B has 36.