Model comparison
Deepseek Coder v2 vs Qwen2.5-Coder (1.5B)
Deepseek Coder v2 has enough public results to be ranked (#220); Qwen2.5-Coder (1.5B) does not yet, so treat this comparison as directional.
Last verified . 3 shared benchmarks.
DeepSeek
Alibaba (Qwen)Summary
- They share 3 benchmarks with published results for both.
Side by side
| Deepseek Coder v2 | Qwen2.5-Coder (1.5B) | |
|---|---|---|
| Provider | DeepSeek | Alibaba (Qwen) |
| Noometry Index | 35.9 | — |
| Released | 2024-06-17 | 2024-09-18 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 24 | 6 |
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Category by category
Coding Not comparable
Deepseek Coder v2: 38.1 (#183), Qwen2.5-Coder (1.5B): —
| Benchmark | Deepseek Coder v2 | Qwen2.5-Coder (1.5B) |
|---|---|---|
| BigCodeBench Instruct | 48.2% | — |
| LMArena Coding | 1251 | — |
| BigCodeBench Complete | 59.7% | — |
| HumanEval+ | 82.3% | — |
| MBPP+ | 75.1% | — |
Reasoning Not comparable
Deepseek Coder v2: 23.6 (#176), Qwen2.5-Coder (1.5B): —
| Benchmark | Deepseek Coder v2 | Qwen2.5-Coder (1.5B) |
|---|---|---|
| WinoGrande | 83.7% | 72.9% |
| LMArena Hard Prompts | 1207 | — |
| Epoch Capabilities Index | — | 113.14 |
| HellaSwag | — | 76.8% |
Math Not comparable
Deepseek Coder v2: 34.9 (#190), Qwen2.5-Coder (1.5B): —
| Benchmark | Deepseek Coder v2 | Qwen2.5-Coder (1.5B) |
|---|---|---|
| GSM8K | 94.5% | 86.7% |
| LMArena Math | 1241 | — |
Knowledge Not comparable
Deepseek Coder v2: 32.3 (#212), Qwen2.5-Coder (1.5B): —
| Benchmark | Deepseek Coder v2 | Qwen2.5-Coder (1.5B) |
|---|---|---|
| ARC (AI2) Challenge | 64.3% | 60.9% |
| LMArena Expert | 1181 | — |
| MMLU | — | 68% |
Multilingual Not comparable
Deepseek Coder v2: 36.3 (#240), Qwen2.5-Coder (1.5B): —
| Benchmark | Deepseek Coder v2 | Qwen2.5-Coder (1.5B) |
|---|---|---|
| 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), Qwen2.5-Coder (1.5B): —
| Benchmark | Deepseek Coder v2 | Qwen2.5-Coder (1.5B) |
|---|---|---|
| LMArena Instruction Following | 1180 | — |
Long Context Not comparable
Deepseek Coder v2: 37.0 (#224), Qwen2.5-Coder (1.5B): —
| Benchmark | Deepseek Coder v2 | Qwen2.5-Coder (1.5B) |
|---|---|---|
| LMArena Longer Query | 1219 | — |
Writing & Preference Not comparable
Deepseek Coder v2: 38.2 (#253), Qwen2.5-Coder (1.5B): —
| Benchmark | Deepseek Coder v2 | Qwen2.5-Coder (1.5B) |
|---|---|---|
| LMArena Text | 1191 | — |
| LMArena Creative Writing | 1120 | — |
| LMArena Multi-Turn | 1177 | — |
Frequently asked questions
Is Deepseek Coder v2 better than Qwen2.5-Coder (1.5B)?
Deepseek Coder v2 has enough public results to be ranked (#220); Qwen2.5-Coder (1.5B) does not yet, so treat this comparison as directional.
How many benchmarks do Deepseek Coder v2 and Qwen2.5-Coder (1.5B) share?
3 benchmarks have published results for both models. Deepseek Coder v2 has 24 scored results on Noometry and Qwen2.5-Coder (1.5B) has 6.