Model comparison
DeepSeek-V2 (MoE-236B, May 2024) vs Qwen3 32B
Qwen3 32B has enough public results to be ranked (#166); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.
Last verified . 1 shared benchmarks.
DeepSeek
Alibaba (Qwen)Summary
- They share 1 benchmark with published results for both. DeepSeek-V2 (MoE-236B, May 2024) scores higher in 1 category and Qwen3 32B in 0 categories; one gap is clear of the uncertainty.
Side by side
| DeepSeek-V2 (MoE-236B, May 2024) | Qwen3 32B | |
|---|---|---|
| Provider | DeepSeek | Alibaba (Qwen) |
| Noometry Index | 39.7 | 38.8 |
| Released | 2024-05-07 | 2025-04 |
| Weights | Open | Open |
| Context window | — | 131K |
| Max output | — | 16K |
| Input $ / M tokens | — | $0.70 |
| Output $ / M tokens | — | $2.80 |
| Results tracked | 10 | 26 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding DeepSeek-V2 (MoE-236B, May 2024) leads
DeepSeek-V2 (MoE-236B, May 2024): 39.8 (#141), Qwen3 32B: 37.3 (#184)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen3 32B |
|---|---|---|
| Aider Polyglot | — | 40% |
| SciCode | — | 35.4% |
| BigCodeBench Instruct | 48.9% | — |
| LMArena Coding | — | 1358 |
| BigCodeBench Complete | 59.4% | — |
Agentic & Tool Use Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Qwen3 32B: 32.3 (#58)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen3 32B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 48.7% |
Reasoning Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Qwen3 32B: 19.6 (#233)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen3 32B |
|---|---|---|
| Epoch Capabilities Index | 124.78 | 138.51 |
| Kagi LLM Benchmark | — | 54.9% |
| CritPt | — | 0.3% |
| Chess Puzzles | — | 5% |
| LMArena Hard Prompts | — | 1335 |
| DTBench | — | 67.5% |
| LMCA | — | 17.3% |
| BIG-Bench Hard | 78.8% | — |
| HellaSwag | 87.1% | — |
| PIQA | 83.9% | — |
| WinoGrande | 86.3% | — |
Math Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Qwen3 32B: 37.9 (#89)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen3 32B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 66.9% |
| LMArena Math | — | 1399 |
Knowledge Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Qwen3 32B: 40.0 (#112)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen3 32B |
|---|---|---|
| GPQA Diamond | — | 65.7% |
| Vectara Hallucination Rate | — | 5.9% |
| LMArena Expert | — | 1362 |
| ARC (AI2) Challenge | 92.2% | — |
| MMLU | 78.4% | — |
| TriviaQA | 80% | — |
Multilingual Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Qwen3 32B: 45.8 (#162)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen3 32B |
|---|---|---|
| LMArena Non-English | — | 1317 |
| LMArena Chinese | — | 1357 |
| LMArena German | — | 1341 |
| LMArena Russian | — | 1311 |
Instruction Following Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Qwen3 32B: 69.1 (#174)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen3 32B |
|---|---|---|
| LMArena Instruction Following | — | 1305 |
Long Context Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Qwen3 32B: 43.7 (#83)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen3 32B |
|---|---|---|
| Fiction.LiveBench | — | 74.2% |
| LMArena Longer Query | — | 1327 |
Writing & Preference Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Qwen3 32B: 53.1 (#158)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen3 32B |
|---|---|---|
| LMArena Text | — | 1340 |
| LMArena Creative Writing | — | 1297 |
| LMArena Multi-Turn | — | 1331 |
Frequently asked questions
Is DeepSeek-V2 (MoE-236B, May 2024) better than Qwen3 32B?
Qwen3 32B has enough public results to be ranked (#166); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.
Is DeepSeek-V2 (MoE-236B, May 2024) or Qwen3 32B better for coding?
DeepSeek-V2 (MoE-236B, May 2024) scores higher on coding benchmarks: 39.8 versus 37.3 in the Noometry coding category.
How many benchmarks do DeepSeek-V2 (MoE-236B, May 2024) and Qwen3 32B share?
1 benchmark has published results for both models. DeepSeek-V2 (MoE-236B, May 2024) has 10 scored results on Noometry and Qwen3 32B has 26.