Model comparison
Deepseek Coder v2 vs Qwen3.5-9B
Deepseek Coder v2 is the stronger model overall, scoring 35.9 to 33.8 on the Noometry Index.
Last verified . 0 shared benchmarks.
DeepSeek
Alibaba (Qwen)Summary
- The widest gap is in knowledge, where Qwen3.5-9B leads 46.0 to 32.3.
Side by side
| Deepseek Coder v2 | Qwen3.5-9B | |
|---|---|---|
| Provider | DeepSeek | Alibaba (Qwen) |
| Noometry Index | 35.9 | 33.8 |
| Released | 2024-06-17 | 2026-02-23 |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 66K |
| Input $ / M tokens | — | $0.10 |
| Output $ / M tokens | — | $0.15 |
| Results tracked | 24 | 10 |
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Category by category
Coding Deepseek Coder v2 leads
Deepseek Coder v2: 38.1 (#183), Qwen3.5-9B: 35.9 (#217)
| Benchmark | Deepseek Coder v2 | Qwen3.5-9B |
|---|---|---|
| SciCode | — | 27.5% |
| BigCodeBench Instruct | 48.2% | — |
| LMArena Coding | 1251 | — |
| BigCodeBench Complete | 59.7% | — |
| HumanEval+ | 82.3% | — |
| MBPP+ | 75.1% | — |
Agentic & Tool Use Not comparable
Deepseek Coder v2: —, Qwen3.5-9B: 14.5 (#151)
| Benchmark | Deepseek Coder v2 | Qwen3.5-9B |
|---|---|---|
| Terminal-Bench | — | 9.2% |
Reasoning Too close to call
Deepseek Coder v2: 23.6 (#176), Qwen3.5-9B: 23.1 (#182)
| Benchmark | Deepseek Coder v2 | Qwen3.5-9B |
|---|---|---|
| CritPt | — | 0.3% |
| Chess Puzzles | — | 12% |
| LMArena Hard Prompts | 1207 | — |
| DTBench | — | 71.2% |
| LMCA | — | 24.5% |
| Epoch Capabilities Index | — | 139.46 |
| WinoGrande | 83.7% | — |
Math Too close to call
Deepseek Coder v2: 34.9 (#190), Qwen3.5-9B: 34.8 (#192)
| Benchmark | Deepseek Coder v2 | Qwen3.5-9B |
|---|---|---|
| MathArena Final-Answer Competitions | — | 48.5% |
| OTIS Mock AIME 2024-2025 | — | 61.7% |
| LMArena Math | 1241 | — |
| GSM8K | 94.5% | — |
Knowledge Qwen3.5-9B leads
Deepseek Coder v2: 32.3 (#212), Qwen3.5-9B: 46.0 (#84)
| Benchmark | Deepseek Coder v2 | Qwen3.5-9B |
|---|---|---|
| GPQA Diamond | — | 79% |
| LMArena Expert | 1181 | — |
| ARC (AI2) Challenge | 64.3% | — |
Multilingual Not comparable
Deepseek Coder v2: 36.3 (#240), Qwen3.5-9B: —
| Benchmark | Deepseek Coder v2 | Qwen3.5-9B |
|---|---|---|
| LMArena Non-English | 1182 | — |
| LMArena Chinese | 1201 | — |
| LMArena French | 1185 | — |
| LMArena German | 1164 | — |
| LMArena Japanese | 1126 | — |
| LMArena Korean | 1104 | — |
| LMArena Russian | 1188 | — |
| LMArena Spanish | 1153 | — |
Instruction Following Not comparable
Deepseek Coder v2: 61.7 (#242), Qwen3.5-9B: —
| Benchmark | Deepseek Coder v2 | Qwen3.5-9B |
|---|---|---|
| LMArena Instruction Following | 1180 | — |
Long Context Not comparable
Deepseek Coder v2: 37.0 (#224), Qwen3.5-9B: —
| Benchmark | Deepseek Coder v2 | Qwen3.5-9B |
|---|---|---|
| LMArena Longer Query | 1219 | — |
Writing & Preference Not comparable
Deepseek Coder v2: 38.2 (#253), Qwen3.5-9B: —
| Benchmark | Deepseek Coder v2 | Qwen3.5-9B |
|---|---|---|
| LMArena Text | 1191 | — |
| LMArena Creative Writing | 1120 | — |
| LMArena Multi-Turn | 1177 | — |
Frequently asked questions
Is Deepseek Coder v2 better than Qwen3.5-9B?
Deepseek Coder v2 is the stronger model overall, scoring 35.9 to 33.8 on the Noometry Index.
Is Deepseek Coder v2 or Qwen3.5-9B better for coding?
Deepseek Coder v2 scores higher on coding benchmarks: 38.1 versus 35.9 in the Noometry coding category.
How many benchmarks do Deepseek Coder v2 and Qwen3.5-9B share?
0 benchmarks have published results for both models. Deepseek Coder v2 has 24 scored results on Noometry and Qwen3.5-9B has 10.