Model comparison
GPT-4.1 mini vs QwQ-32B
QwQ-32B is the stronger model overall, scoring 39.8 to 33.6 on the Noometry Index.
Last verified . 25 shared benchmarks.
Summary
- They share 25 benchmarks with published results for both. GPT-4.1 mini scores higher in 2 categories and QwQ-32B in 6 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in long context, where QwQ-32B leads 49.0 to 31.8.
- The biggest single-benchmark swing is Fiction.LiveBench: 44.4% for GPT-4.1 mini and 83.3% for QwQ-32B.
- QwQ-32B has downloadable open weights; the other is API-only.
Side by side
| GPT-4.1 mini | QwQ-32B | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 33.6 | 39.8 |
| Released | 2025-04-14 | 2024-11-28 |
| Weights | Proprietary | Open |
| Context window | 1.05M | — |
| Max output | 33K | — |
| Input $ / M tokens | $0.40 | — |
| Output $ / M tokens | $1.60 | — |
| Results tracked | 47 | 36 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding QwQ-32B leads
GPT-4.1 mini: 30.6 (#293), QwQ-32B: 35.4 (#226)
| Benchmark | GPT-4.1 mini | QwQ-32B |
|---|---|---|
| Aider Polyglot | 32.4% | 20.9% |
| BigCodeBench Instruct | 48.9% | 44.6% |
| LMArena Coding | 1367 | 1333 |
| SWE-bench Verified (bash only) | 23.9% | — |
| SciCode | 40.4% | — |
| WeirdML | 37.6% | — |
| LiveBench Coding | — | 72.2% |
| BigCodeBench Complete | — | 54.4% |
| CadEval | 16% | — |
Agentic & Tool Use Not comparable
GPT-4.1 mini: 33.3 (#55), QwQ-32B: —
| Benchmark | GPT-4.1 mini | QwQ-32B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 50.5% | — |
Reasoning QwQ-32B leads
GPT-4.1 mini: 10.8 (#340), QwQ-32B: 23.7 (#174)
| Benchmark | GPT-4.1 mini | QwQ-32B |
|---|---|---|
| Chess Puzzles | 7% | 5% |
| LMArena Hard Prompts | 1349 | 1325 |
| Epoch Capabilities Index | 135.01 | 137.6 |
| ARC-AGI-2 | 0% | — |
| Kagi LLM Benchmark | 48.6% | — |
| ARC-AGI-1 | 3.5% | — |
| CritPt | 0% | — |
| LiveBench Reasoning | — | 83.5% |
| Mystery Game Puzzles | 7% | — |
| DTBench | 68.8% | — |
| LiveBench Data Analysis | — | 65% |
| LMCA | 21.1% | — |
| ForecastBench | — | 58.3 |
| LiveBench | — | 72% |
Math QwQ-32B leads
GPT-4.1 mini: 24.1 (#270), QwQ-32B: 38.0 (#143)
| Benchmark | GPT-4.1 mini | QwQ-32B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 44.7% | 59.2% |
| LMArena Math | 1343 | 1359 |
| FrontierMath (Tiers 1-3) | 6.7% | — |
| Omni-MATH | 49.1% | — |
| LiveBench Math | — | 77.8% |
| MATH Level 5 | 87.3% | — |
| FrontierMath (Feb 2025 set) | 4.5% | — |
Knowledge QwQ-32B leads
GPT-4.1 mini: 34.7 (#194), QwQ-32B: 37.2 (#158)
| Benchmark | GPT-4.1 mini | QwQ-32B |
|---|---|---|
| GPQA Diamond | 65.8% | 65.3% |
| LMArena Expert | 1338 | 1324 |
| SimpleQA Verified | 12.7% | — |
| MMLU-Pro | 78.3% | — |
| Confabulations | — | 15.6% |
| GPQA (HELM) | 61.4% | — |
Multimodal Not comparable
GPT-4.1 mini: 35.8 (#82), QwQ-32B: —
| Benchmark | GPT-4.1 mini | QwQ-32B |
|---|---|---|
| LMArena Vision | 1181 | — |
Multilingual Too close to call
GPT-4.1 mini: 45.7 (#166), QwQ-32B: 44.8 (#176)
| Benchmark | GPT-4.1 mini | QwQ-32B |
|---|---|---|
| LMArena Non-English | 1318 | 1305 |
| LMArena Chinese | 1329 | 1378 |
| LMArena French | 1358 | 1336 |
| LMArena German | 1351 | 1313 |
| LMArena Japanese | 1290 | 1262 |
| LMArena Korean | 1298 | 1279 |
| LMArena Russian | 1324 | 1297 |
| LMArena Spanish | 1319 | 1354 |
Instruction Following GPT-4.1 mini leads
GPT-4.1 mini: 73.7 (#118), QwQ-32B: 72.6 (#137)
| Benchmark | GPT-4.1 mini | QwQ-32B |
|---|---|---|
| LMArena Instruction Following | 1333 | 1297 |
| LiveBench Instruction Following | — | 81.8% |
| IFEval | 90.4% | — |
Long Context QwQ-32B leads
GPT-4.1 mini: 31.8 (#275), QwQ-32B: 49.0 (#11)
| Benchmark | GPT-4.1 mini | QwQ-32B |
|---|---|---|
| Fiction.LiveBench | 44.4% | 83.3% |
| LMArena Longer Query | 1344 | 1308 |
Writing & Preference QwQ-32B leads
GPT-4.1 mini: 48.6 (#199), QwQ-32B: 50.6 (#180)
| Benchmark | GPT-4.1 mini | QwQ-32B |
|---|---|---|
| LMArena Text | 1340 | 1329 |
| LMArena Creative Writing | 1300 | 1288 |
| EQ-Bench Creative Writing | 1147 | 1257 |
| LMArena Multi-Turn | 1354 | 1314 |
| Short-Story Creative Writing | — | 80.2% |
| WildBench | 83.8% | — |
| LiveBench Language | — | 51.4% |
Frequently asked questions
Is GPT-4.1 mini better than QwQ-32B?
QwQ-32B is the stronger model overall, scoring 39.8 to 33.6 on the Noometry Index.
Is GPT-4.1 mini or QwQ-32B better for coding?
QwQ-32B scores higher on coding benchmarks: 35.4 versus 30.6 in the Noometry coding category.
How many benchmarks do GPT-4.1 mini and QwQ-32B share?
25 benchmarks have published results for both models. GPT-4.1 mini has 47 scored results on Noometry and QwQ-32B has 36.