Model comparison
DeepSeek Coder 6.7B vs Qwen1.5-14B
Qwen1.5-14B has enough public results to be ranked (#253); DeepSeek Coder 6.7B 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 Coder 6.7B scores higher in 1 category and Qwen1.5-14B in 0 categories; one gap is clear of the uncertainty.
Side by side
| DeepSeek Coder 6.7B | Qwen1.5-14B | |
|---|---|---|
| Provider | DeepSeek | Alibaba (Qwen) |
| Noometry Index | 37.6 | 32.7 |
| Released | 2023-11-02 | 2024-02-04 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 9 | 17 |
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Category by category
Coding DeepSeek Coder 6.7B leads
DeepSeek Coder 6.7B: 35.8 (#219), Qwen1.5-14B: 33.1 (#263)
| Benchmark | DeepSeek Coder 6.7B | Qwen1.5-14B |
|---|---|---|
| BigCodeBench Instruct | 35.5% | — |
| LMArena Coding | — | 1138 |
| BigCodeBench Complete | 43.8% | — |
| HumanEval+ | 71.3% | — |
| MBPP+ | 65.6% | — |
Reasoning Not comparable
DeepSeek Coder 6.7B: —, Qwen1.5-14B: 21.4 (#223)
| Benchmark | DeepSeek Coder 6.7B | Qwen1.5-14B |
|---|---|---|
| LMArena Hard Prompts | — | 1113 |
| Epoch Capabilities Index | 89.62 | — |
| WinoGrande | 57.6% | — |
Math Not comparable
DeepSeek Coder 6.7B: —, Qwen1.5-14B: 32.4 (#215)
| Benchmark | DeepSeek Coder 6.7B | Qwen1.5-14B |
|---|---|---|
| LMArena Math | — | 1125 |
| GSM8K | 21.3% | — |
Knowledge Not comparable
DeepSeek Coder 6.7B: —, Qwen1.5-14B: 29.8 (#232)
| Benchmark | DeepSeek Coder 6.7B | Qwen1.5-14B |
|---|---|---|
| MMLU | 36.4% | 68.6% |
| LMArena Expert | — | 1094 |
| ARC (AI2) Challenge | 36.4% | — |
Multilingual Not comparable
DeepSeek Coder 6.7B: —, Qwen1.5-14B: 30.7 (#262)
| Benchmark | DeepSeek Coder 6.7B | Qwen1.5-14B |
|---|---|---|
| LMArena Non-English | — | 1095 |
| LMArena Chinese | — | 1147 |
| LMArena French | — | 1116 |
| LMArena German | — | 1043 |
| LMArena Japanese | — | 1019 |
| LMArena Russian | — | 1046 |
| LMArena Spanish | — | 1085 |
Instruction Following Not comparable
DeepSeek Coder 6.7B: —, Qwen1.5-14B: 56.8 (#271)
| Benchmark | DeepSeek Coder 6.7B | Qwen1.5-14B |
|---|---|---|
| LMArena Instruction Following | — | 1102 |
Long Context Not comparable
DeepSeek Coder 6.7B: —, Qwen1.5-14B: 33.7 (#257)
| Benchmark | DeepSeek Coder 6.7B | Qwen1.5-14B |
|---|---|---|
| LMArena Longer Query | — | 1113 |
Writing & Preference Not comparable
DeepSeek Coder 6.7B: —, Qwen1.5-14B: 33.6 (#276)
| Benchmark | DeepSeek Coder 6.7B | Qwen1.5-14B |
|---|---|---|
| LMArena Text | — | 1128 |
| LMArena Creative Writing | — | 1091 |
| LMArena Multi-Turn | — | 1110 |
Frequently asked questions
Is DeepSeek Coder 6.7B better than Qwen1.5-14B?
Qwen1.5-14B has enough public results to be ranked (#253); DeepSeek Coder 6.7B does not yet, so treat this comparison as directional.
Is DeepSeek Coder 6.7B or Qwen1.5-14B better for coding?
DeepSeek Coder 6.7B scores higher on coding benchmarks: 35.8 versus 33.1 in the Noometry coding category.
How many benchmarks do DeepSeek Coder 6.7B and Qwen1.5-14B share?
1 benchmark has published results for both models. DeepSeek Coder 6.7B has 9 scored results on Noometry and Qwen1.5-14B has 17.