Model comparison
Deepseek Coder v2 vs Qwen3 32B
Qwen3 32B is the stronger model overall, scoring 39.2 to 35.9 on the Noometry Index.
Last verified . 13 shared benchmarks.
DeepSeek
Alibaba (Qwen)Summary
- They share 13 benchmarks with published results for both. Deepseek Coder v2 scores higher in 2 categories and Qwen3 32B in 6 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen3 32B leads 52.9 to 38.2.
Side by side
| Deepseek Coder v2 | Qwen3 32B | |
|---|---|---|
| Provider | DeepSeek | Alibaba (Qwen) |
| Noometry Index | 35.9 | 39.2 |
| Released | 2024-06-17 | 2025-04 |
| Weights | Open | Open |
| Context window | — | 131K |
| Max output | — | 16K |
| Input $ / M tokens | — | $0.70 |
| Output $ / M tokens | — | $2.80 |
| Results tracked | 24 | 26 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Too close to call
Deepseek Coder v2: 38.1 (#183), Qwen3 32B: 37.7 (#190)
| Benchmark | Deepseek Coder v2 | Qwen3 32B |
|---|---|---|
| LMArena Coding | 1251 | 1358 |
| Aider Polyglot | — | 40% |
| SciCode | — | 35.4% |
| BigCodeBench Instruct | 48.2% | — |
| BigCodeBench Complete | 59.7% | — |
| HumanEval+ | 82.3% | — |
| MBPP+ | 75.1% | — |
Agentic & Tool Use Not comparable
Deepseek Coder v2: —, Qwen3 32B: 32.6 (#62)
| Benchmark | Deepseek Coder v2 | Qwen3 32B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 48.7% |
Reasoning Deepseek Coder v2 leads
Deepseek Coder v2: 23.6 (#176), Qwen3 32B: 20.2 (#241)
| Benchmark | Deepseek Coder v2 | Qwen3 32B |
|---|---|---|
| LMArena Hard Prompts | 1207 | 1334 |
| Kagi LLM Benchmark | — | 54.9% |
| CritPt | — | 0.3% |
| Chess Puzzles | — | 5% |
| DTBench | — | 67.5% |
| LMCA | — | 17.3% |
| Epoch Capabilities Index | — | 138.51 |
| WinoGrande | 83.7% | — |
Math Qwen3 32B leads
Deepseek Coder v2: 34.9 (#190), Qwen3 32B: 39.7 (#99)
| Benchmark | Deepseek Coder v2 | Qwen3 32B |
|---|---|---|
| LMArena Math | 1241 | 1399 |
| OTIS Mock AIME 2024-2025 | — | 66.9% |
| GSM8K | 94.5% | — |
Knowledge Qwen3 32B leads
Deepseek Coder v2: 32.3 (#212), Qwen3 32B: 40.0 (#125)
| Benchmark | Deepseek Coder v2 | Qwen3 32B |
|---|---|---|
| LMArena Expert | 1181 | 1362 |
| GPQA Diamond | — | 65.7% |
| Vectara Hallucination Rate | — | 5.9% |
| ARC (AI2) Challenge | 64.3% | — |
Multilingual Qwen3 32B leads
Deepseek Coder v2: 36.3 (#240), Qwen3 32B: 45.6 (#167)
| Benchmark | Deepseek Coder v2 | Qwen3 32B |
|---|---|---|
| LMArena Non-English | 1182 | 1317 |
| LMArena Chinese | 1201 | 1357 |
| LMArena German | 1164 | 1341 |
| LMArena Russian | 1188 | 1311 |
| LMArena French | 1185 | — |
| LMArena Japanese | 1126 | — |
| LMArena Korean | 1104 | — |
| LMArena Spanish | 1153 | — |
Instruction Following Qwen3 32B leads
Deepseek Coder v2: 61.7 (#242), Qwen3 32B: 68.9 (#179)
| Benchmark | Deepseek Coder v2 | Qwen3 32B |
|---|---|---|
| LMArena Instruction Following | 1180 | 1305 |
Long Context Qwen3 32B leads
Deepseek Coder v2: 37.0 (#224), Qwen3 32B: 43.8 (#87)
| Benchmark | Deepseek Coder v2 | Qwen3 32B |
|---|---|---|
| LMArena Longer Query | 1219 | 1327 |
| Fiction.LiveBench | — | 74.2% |
Writing & Preference Qwen3 32B leads
Deepseek Coder v2: 38.2 (#253), Qwen3 32B: 52.9 (#163)
| Benchmark | Deepseek Coder v2 | Qwen3 32B |
|---|---|---|
| LMArena Text | 1191 | 1340 |
| LMArena Creative Writing | 1120 | 1297 |
| LMArena Multi-Turn | 1177 | 1331 |
Frequently asked questions
Is Deepseek Coder v2 better than Qwen3 32B?
Qwen3 32B is the stronger model overall, scoring 39.2 to 35.9 on the Noometry Index.
Is Deepseek Coder v2 or Qwen3 32B better for coding?
They score almost the same on coding (38.1 vs 37.7); test both on your own repository before choosing.
How many benchmarks do Deepseek Coder v2 and Qwen3 32B share?
13 benchmarks have published results for both models. Deepseek Coder v2 has 24 scored results on Noometry and Qwen3 32B has 26.