Model comparison
Deepseek Coder v2 vs Qwen1.5 4b Chat
Deepseek Coder v2 is the stronger model overall, scoring 35.9 to 28.8 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 8 categories and Qwen1.5 4b Chat in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Deepseek Coder v2 leads 38.2 to 23.8.
Side by side
| Deepseek Coder v2 | Qwen1.5 4b Chat | |
|---|---|---|
| Provider | DeepSeek | Alibaba (Qwen) |
| Noometry Index | 35.9 | 28.8 |
| Released | 2024-06-17 | — |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 24 | 13 |
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Category by category
Coding Deepseek Coder v2 leads
Deepseek Coder v2: 38.1 (#183), Qwen1.5 4b Chat: 29.1 (#308)
| Benchmark | Deepseek Coder v2 | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Coding | 1251 | 999 |
| BigCodeBench Instruct | 48.2% | — |
| BigCodeBench Complete | 59.7% | — |
| HumanEval+ | 82.3% | — |
| MBPP+ | 75.1% | — |
Reasoning Deepseek Coder v2 leads
Deepseek Coder v2: 23.6 (#176), Qwen1.5 4b Chat: 18.5 (#279)
| Benchmark | Deepseek Coder v2 | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Hard Prompts | 1207 | 976 |
| WinoGrande | 83.7% | — |
Math Deepseek Coder v2 leads
Deepseek Coder v2: 34.9 (#190), Qwen1.5 4b Chat: 30.4 (#234)
| Benchmark | Deepseek Coder v2 | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Math | 1241 | 1026 |
| GSM8K | 94.5% | — |
Knowledge Deepseek Coder v2 leads
Deepseek Coder v2: 32.3 (#212), Qwen1.5 4b Chat: 26.7 (#255)
| Benchmark | Deepseek Coder v2 | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Expert | 1181 | 980 |
| ARC (AI2) Challenge | 64.3% | — |
Multilingual Deepseek Coder v2 leads
Deepseek Coder v2: 36.3 (#240), Qwen1.5 4b Chat: 24.1 (#290)
| Benchmark | Deepseek Coder v2 | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Non-English | 1182 | 979 |
| LMArena Chinese | 1201 | 1024 |
| LMArena German | 1164 | 902 |
| LMArena Russian | 1188 | 952 |
| LMArena French | 1185 | — |
| LMArena Japanese | 1126 | — |
| LMArena Korean | 1104 | — |
| LMArena Spanish | 1153 | — |
Instruction Following Deepseek Coder v2 leads
Deepseek Coder v2: 61.7 (#242), Qwen1.5 4b Chat: 49.0 (#300)
| Benchmark | Deepseek Coder v2 | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Instruction Following | 1180 | 978 |
Long Context Deepseek Coder v2 leads
Deepseek Coder v2: 37.0 (#224), Qwen1.5 4b Chat: 30.1 (#290)
| Benchmark | Deepseek Coder v2 | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Longer Query | 1219 | 988 |
Writing & Preference Deepseek Coder v2 leads
Deepseek Coder v2: 38.2 (#253), Qwen1.5 4b Chat: 23.8 (#309)
| Benchmark | Deepseek Coder v2 | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Text | 1191 | 997 |
| LMArena Creative Writing | 1120 | 969 |
| LMArena Multi-Turn | 1177 | 977 |
Frequently asked questions
Is Deepseek Coder v2 better than Qwen1.5 4b Chat?
Deepseek Coder v2 is the stronger model overall, scoring 35.9 to 28.8 on the Noometry Index.
Is Deepseek Coder v2 or Qwen1.5 4b Chat better for coding?
Deepseek Coder v2 scores higher on coding benchmarks: 38.1 versus 29.1 in the Noometry coding category.
How many benchmarks do Deepseek Coder v2 and Qwen1.5 4b Chat share?
13 benchmarks have published results for both models. Deepseek Coder v2 has 24 scored results on Noometry and Qwen1.5 4b Chat has 13.