Model comparison
DeepSeek Coder 1.3B vs Qwen1.5-14B
Qwen1.5-14B has enough public results to be ranked (#250); DeepSeek Coder 1.3B 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 1.3B scores higher in 0 categories and Qwen1.5-14B in 1 category; one gap is clear of the uncertainty.
Side by side
| DeepSeek Coder 1.3B | Qwen1.5-14B | |
|---|---|---|
| Provider | DeepSeek | Alibaba (Qwen) |
| Noometry Index | 34.5 | 32.1 |
| 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 Qwen1.5-14B leads
DeepSeek Coder 1.3B: 30.7 (#282), Qwen1.5-14B: 32.5 (#259)
| Benchmark | DeepSeek Coder 1.3B | Qwen1.5-14B |
|---|---|---|
| BigCodeBench Instruct | 22.8% | — |
| LMArena Coding | — | 1138 |
| BigCodeBench Complete | 29.6% | — |
| HumanEval+ | 60.4% | — |
| MBPP+ | 54.8% | — |
Reasoning Not comparable
DeepSeek Coder 1.3B: —, Qwen1.5-14B: 20.5 (#217)
| Benchmark | DeepSeek Coder 1.3B | Qwen1.5-14B |
|---|---|---|
| LMArena Hard Prompts | — | 1113 |
| Epoch Capabilities Index | 62.18 | — |
| WinoGrande | 53.3% | — |
Math Not comparable
DeepSeek Coder 1.3B: —, Qwen1.5-14B: 29.9 (#214)
| Benchmark | DeepSeek Coder 1.3B | Qwen1.5-14B |
|---|---|---|
| LMArena Math | — | 1125 |
| GSM8K | 4.4% | — |
Knowledge Not comparable
DeepSeek Coder 1.3B: —, Qwen1.5-14B: 29.3 (#230)
| Benchmark | DeepSeek Coder 1.3B | Qwen1.5-14B |
|---|---|---|
| MMLU | 25.8% | 68.6% |
| LMArena Expert | — | 1094 |
| ARC (AI2) Challenge | 25.4% | — |
Multilingual Not comparable
DeepSeek Coder 1.3B: —, Qwen1.5-14B: 30.8 (#257)
| Benchmark | DeepSeek Coder 1.3B | Qwen1.5-14B |
|---|---|---|
| LMArena Non-English | — | 1095 |
| LMArena Chinese | — | 1147 |
| LMArena French | — | 1115 |
| LMArena German | — | 1043 |
| LMArena Japanese | — | 1019 |
| LMArena Russian | — | 1046 |
| LMArena Spanish | — | 1085 |
Instruction Following Not comparable
DeepSeek Coder 1.3B: —, Qwen1.5-14B: 57.1 (#266)
| Benchmark | DeepSeek Coder 1.3B | Qwen1.5-14B |
|---|---|---|
| LMArena Instruction Following | — | 1102 |
Long Context Not comparable
DeepSeek Coder 1.3B: —, Qwen1.5-14B: 33.7 (#252)
| Benchmark | DeepSeek Coder 1.3B | Qwen1.5-14B |
|---|---|---|
| LMArena Longer Query | — | 1113 |
Writing & Preference Not comparable
DeepSeek Coder 1.3B: —, Qwen1.5-14B: 33.7 (#270)
| Benchmark | DeepSeek Coder 1.3B | Qwen1.5-14B |
|---|---|---|
| LMArena Text | — | 1128 |
| LMArena Creative Writing | — | 1091 |
| LMArena Multi-Turn | — | 1110 |
Frequently asked questions
Is DeepSeek Coder 1.3B better than Qwen1.5-14B?
Qwen1.5-14B has enough public results to be ranked (#250); DeepSeek Coder 1.3B does not yet, so treat this comparison as directional.
Is DeepSeek Coder 1.3B or Qwen1.5-14B better for coding?
Qwen1.5-14B scores higher on coding benchmarks: 32.5 versus 30.7 in the Noometry coding category.
How many benchmarks do DeepSeek Coder 1.3B and Qwen1.5-14B share?
1 benchmark has published results for both models. DeepSeek Coder 1.3B has 9 scored results on Noometry and Qwen1.5-14B has 17.