Model comparison
DeepSeek-R1-Distill-Qwen-32B vs Qwen3.5 35B-A3B
Qwen3.5 35B-A3B is the stronger model overall, scoring 42.0 to 35.5 on the Noometry Index.
Last verified . 4 shared benchmarks.
DeepSeek
Alibaba (Qwen)Summary
- They share 4 benchmarks with published results for both. DeepSeek-R1-Distill-Qwen-32B scores higher in 1 category and Qwen3.5 35B-A3B in 5 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.5 35B-A3B leads 47.8 to 35.7.
- The biggest single-benchmark swing is GPQA Diamond: 64.1% for DeepSeek-R1-Distill-Qwen-32B and 83.5% for Qwen3.5 35B-A3B.
Side by side
| DeepSeek-R1-Distill-Qwen-32B | Qwen3.5 35B-A3B | |
|---|---|---|
| Provider | DeepSeek | Alibaba (Qwen) |
| Noometry Index | 35.5 | 42.0 |
| Released | 2025-01-20 | 2026-02-01 |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 66K |
| Input $ / M tokens | — | $0.25 |
| Output $ / M tokens | — | $2 |
| Results tracked | 14 | 28 |
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Category by category
Coding DeepSeek-R1-Distill-Qwen-32B leads
DeepSeek-R1-Distill-Qwen-32B: 36.1 (#212), Qwen3.5 35B-A3B: 33.8 (#251)
| Benchmark | DeepSeek-R1-Distill-Qwen-32B | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena WebDev | — | 1254 |
| SciCode | — | 29.3% |
| BigCodeBench Instruct | 43.9% | — |
| LiveBench Coding | 33.7% | — |
| LMArena Coding | — | 1410 |
| BigCodeBench Complete | 54.9% | — |
Agentic & Tool Use Not comparable
DeepSeek-R1-Distill-Qwen-32B: 28.1 (#94), Qwen3.5 35B-A3B: —
| Benchmark | DeepSeek-R1-Distill-Qwen-32B | Qwen3.5 35B-A3B |
|---|---|---|
| BALROG | 19.5% | — |
Reasoning Qwen3.5 35B-A3B leads
DeepSeek-R1-Distill-Qwen-32B: 18.2 (#284), Qwen3.5 35B-A3B: 24.6 (#161)
| Benchmark | DeepSeek-R1-Distill-Qwen-32B | Qwen3.5 35B-A3B |
|---|---|---|
| Chess Puzzles | 1% | 10% |
| Epoch Capabilities Index | 137.44 | 142.52 |
| CritPt | — | 0.6% |
| LiveBench Reasoning | 52.3% | — |
| LMArena Hard Prompts | — | 1400 |
| DTBench | — | 80% |
| LiveBench Data Analysis | 45.4% | — |
| LMCA | — | 29.5% |
| LiveBench | 45.5% | — |
Math Qwen3.5 35B-A3B leads
DeepSeek-R1-Distill-Qwen-32B: 34.5 (#194), Qwen3.5 35B-A3B: 39.9 (#97)
| Benchmark | DeepSeek-R1-Distill-Qwen-32B | Qwen3.5 35B-A3B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 55.6% | 70% |
| MathArena Final-Answer Competitions | — | 56% |
| LiveBench Math | 59.4% | — |
| LMArena Math | — | 1404 |
Knowledge Qwen3.5 35B-A3B leads
DeepSeek-R1-Distill-Qwen-32B: 35.7 (#182), Qwen3.5 35B-A3B: 47.8 (#79)
| Benchmark | DeepSeek-R1-Distill-Qwen-32B | Qwen3.5 35B-A3B |
|---|---|---|
| GPQA Diamond | 64.1% | 83.5% |
| Vectara Hallucination Rate | — | 10.5% |
| LMArena Expert | — | 1408 |
Multilingual Not comparable
DeepSeek-R1-Distill-Qwen-32B: —, Qwen3.5 35B-A3B: 50.0 (#127)
| Benchmark | DeepSeek-R1-Distill-Qwen-32B | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena Non-English | — | 1378 |
| LMArena Chinese | — | 1457 |
| LMArena French | — | 1412 |
| LMArena German | — | 1367 |
| LMArena Japanese | — | 1325 |
| LMArena Korean | — | 1356 |
| LMArena Russian | — | 1376 |
| LMArena Spanish | — | 1392 |
Instruction Following Qwen3.5 35B-A3B leads
DeepSeek-R1-Distill-Qwen-32B: 61.6 (#243), Qwen3.5 35B-A3B: 72.8 (#128)
| Benchmark | DeepSeek-R1-Distill-Qwen-32B | Qwen3.5 35B-A3B |
|---|---|---|
| LiveBench Instruction Following | 55.7% | — |
| LMArena Instruction Following | — | 1379 |
Long Context Not comparable
DeepSeek-R1-Distill-Qwen-32B: —, Qwen3.5 35B-A3B: 42.4 (#127)
| Benchmark | DeepSeek-R1-Distill-Qwen-32B | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena Longer Query | — | 1389 |
Writing & Preference Qwen3.5 35B-A3B leads
DeepSeek-R1-Distill-Qwen-32B: 49.6 (#188), Qwen3.5 35B-A3B: 57.9 (#124)
| Benchmark | DeepSeek-R1-Distill-Qwen-32B | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena Text | — | 1395 |
| LMArena Creative Writing | — | 1346 |
| LMArena Multi-Turn | — | 1390 |
| LiveBench Language | 26.8% | — |
Frequently asked questions
Is DeepSeek-R1-Distill-Qwen-32B better than Qwen3.5 35B-A3B?
Qwen3.5 35B-A3B is the stronger model overall, scoring 42.0 to 35.5 on the Noometry Index.
Is DeepSeek-R1-Distill-Qwen-32B or Qwen3.5 35B-A3B better for coding?
DeepSeek-R1-Distill-Qwen-32B scores higher on coding benchmarks: 36.1 versus 33.8 in the Noometry coding category.
How many benchmarks do DeepSeek-R1-Distill-Qwen-32B and Qwen3.5 35B-A3B share?
4 benchmarks have published results for both models. DeepSeek-R1-Distill-Qwen-32B has 14 scored results on Noometry and Qwen3.5 35B-A3B has 28.