Model comparison
DeepSeek V4.1 Flash vs QwQ-32B
DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 39.8 on the Noometry Index.
Last verified . 21 shared benchmarks.
DeepSeek
Alibaba (Qwen)Summary
- They share 21 benchmarks with published results for both. DeepSeek V4.1 Flash scores higher in 7 categories and QwQ-32B in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where DeepSeek V4.1 Flash leads 66.7 to 38.0.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 98.3% for DeepSeek V4.1 Flash and 59.2% for QwQ-32B.
Side by side
| DeepSeek V4.1 Flash | QwQ-32B | |
|---|---|---|
| Provider | DeepSeek | Alibaba (Qwen) |
| Noometry Index | 52.8 | 39.8 |
| Released | 2026-09-09 | 2024-11-28 |
| Weights | Open | Open |
| Context window | 1M | — |
| Max output | 393K | — |
| Input $ / M tokens | $0.15 | — |
| Output $ / M tokens | $0.60 | — |
| Results tracked | 37 | 36 |
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Category by category
Coding DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 52.9 (#32), QwQ-32B: 35.4 (#226)
| Benchmark | DeepSeek V4.1 Flash | QwQ-32B |
|---|---|---|
| LMArena Coding | 1506 | 1333 |
| Aider Polyglot | — | 20.9% |
| LMArena WebDev | 1619 | — |
| SciCode | 51.9% | — |
| BigCodeBench Instruct | — | 44.6% |
| LiveBench Coding | — | 72.2% |
| BigCodeBench Complete | — | 54.4% |
| ALE-Bench | 1,092 | — |
Agentic & Tool Use Not comparable
DeepSeek V4.1 Flash: 31.2 (#69), QwQ-32B: —
| Benchmark | DeepSeek V4.1 Flash | QwQ-32B |
|---|---|---|
| APEX-Agents | 39.5% | — |
| GDP.pdf | 19.8% | — |
Reasoning DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 50.2 (#36), QwQ-32B: 23.7 (#174)
| Benchmark | DeepSeek V4.1 Flash | QwQ-32B |
|---|---|---|
| LMArena Hard Prompts | 1483 | 1325 |
| Epoch Capabilities Index | 154.9 | 137.6 |
| NYT Connections (extended) | 89.6% | — |
| CritPt | 14.3% | — |
| Chess Puzzles | — | 5% |
| LiveBench Reasoning | — | 83.5% |
| Mystery Game Puzzles | 43% | — |
| DTBench | 89.9% | — |
| LiveBench Data Analysis | — | 65% |
| LMCA | 47% | — |
| Surface Evolver Bench | 46.3% | — |
| ForecastBench | — | 58.3 |
| LiveBench | — | 72% |
Math DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 66.7 (#25), QwQ-32B: 38.0 (#143)
| Benchmark | DeepSeek V4.1 Flash | QwQ-32B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 98.3% | 59.2% |
| LMArena Math | 1477 | 1359 |
| FrontierMath (Tiers 1-3) | 67.4% | — |
| FrontierMath Tier 4 | 26.8% | — |
| ProofBench | 54% | — |
| LiveBench Math | — | 77.8% |
Knowledge DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 57.9 (#38), QwQ-32B: 37.2 (#158)
| Benchmark | DeepSeek V4.1 Flash | QwQ-32B |
|---|---|---|
| GPQA Diamond | 89.8% | 65.3% |
| LMArena Expert | 1506 | 1324 |
| Confabulations | — | 15.6% |
Multimodal Not comparable
DeepSeek V4.1 Flash: 39.1 (#61), QwQ-32B: —
| Benchmark | DeepSeek V4.1 Flash | QwQ-32B |
|---|---|---|
| LMArena Vision | 1277 | — |
| Furniture Assembly | 34.2% | — |
Multilingual DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 55.0 (#35), QwQ-32B: 44.8 (#176)
| Benchmark | DeepSeek V4.1 Flash | QwQ-32B |
|---|---|---|
| LMArena Non-English | 1448 | 1305 |
| LMArena Chinese | 1497 | 1378 |
| LMArena French | 1452 | 1336 |
| LMArena German | 1484 | 1313 |
| LMArena Japanese | 1412 | 1262 |
| LMArena Korean | 1452 | 1279 |
| LMArena Russian | 1471 | 1297 |
| LMArena Spanish | 1459 | 1354 |
Instruction Following DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 77.3 (#26), QwQ-32B: 72.6 (#137)
| Benchmark | DeepSeek V4.1 Flash | QwQ-32B |
|---|---|---|
| LMArena Instruction Following | 1474 | 1297 |
| LiveBench Instruction Following | — | 81.8% |
Long Context QwQ-32B leads
DeepSeek V4.1 Flash: 45.2 (#47), QwQ-32B: 49.0 (#11)
| Benchmark | DeepSeek V4.1 Flash | QwQ-32B |
|---|---|---|
| LMArena Longer Query | 1475 | 1308 |
| Fiction.LiveBench | — | 83.3% |
Writing & Preference DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 65.4 (#48), QwQ-32B: 50.6 (#180)
| Benchmark | DeepSeek V4.1 Flash | QwQ-32B |
|---|---|---|
| LMArena Text | 1462 | 1329 |
| LMArena Creative Writing | 1435 | 1288 |
| EQ-Bench Creative Writing | 1540 | 1257 |
| LMArena Multi-Turn | 1457 | 1314 |
| Short-Story Creative Writing | — | 80.2% |
| LiveBench Language | — | 51.4% |
Frequently asked questions
Is DeepSeek V4.1 Flash better than QwQ-32B?
DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 39.8 on the Noometry Index.
Is DeepSeek V4.1 Flash or QwQ-32B better for coding?
DeepSeek V4.1 Flash scores higher on coding benchmarks: 52.9 versus 35.4 in the Noometry coding category.
How many benchmarks do DeepSeek V4.1 Flash and QwQ-32B share?
21 benchmarks have published results for both models. DeepSeek V4.1 Flash has 37 scored results on Noometry and QwQ-32B has 36.