Model comparison
DeepSeek Coder 6.7B vs Phi-1.5
Neither DeepSeek Coder 6.7B nor Phi-1.5 has enough public benchmark results to be ranked yet; the rows below show what has been published.
Last verified . 4 shared benchmarks.
DeepSeek
MicrosoftSummary
- They share 4 benchmarks with published results for both.
Side by side
| DeepSeek Coder 6.7B | Phi-1.5 | |
|---|---|---|
| Provider | DeepSeek | Microsoft |
| Noometry Index | 37.6 | — |
| Released | 2023-11-02 | 2023-09-11 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 9 | 7 |
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Category by category
Coding Not comparable
DeepSeek Coder 6.7B: 35.8 (#219), Phi-1.5: —
| Benchmark | DeepSeek Coder 6.7B | Phi-1.5 |
|---|---|---|
| BigCodeBench Instruct | 35.5% | — |
| BigCodeBench Complete | 43.8% | — |
| HumanEval+ | 71.3% | — |
| MBPP+ | 65.6% | — |
Reasoning Not comparable
DeepSeek Coder 6.7B: —, Phi-1.5: —
| Benchmark | DeepSeek Coder 6.7B | Phi-1.5 |
|---|---|---|
| Epoch Capabilities Index | 89.62 | 91.53 |
| WinoGrande | 57.6% | 73.4% |
| HellaSwag | — | 47.6% |
Math Not comparable
DeepSeek Coder 6.7B: —, Phi-1.5: —
| Benchmark | DeepSeek Coder 6.7B | Phi-1.5 |
|---|---|---|
| GSM8K | 21.3% | — |
Knowledge Not comparable
DeepSeek Coder 6.7B: —, Phi-1.5: —
| Benchmark | DeepSeek Coder 6.7B | Phi-1.5 |
|---|---|---|
| ARC (AI2) Challenge | 36.4% | 44.4% |
| MMLU | 36.4% | 37.6% |
| BoolQ | — | 75.8% |
| OpenBookQA | — | 37.2% |
Frequently asked questions
Is DeepSeek Coder 6.7B better than Phi-1.5?
Neither DeepSeek Coder 6.7B nor Phi-1.5 has enough public benchmark results to be ranked yet; the rows below show what has been published.
How many benchmarks do DeepSeek Coder 6.7B and Phi-1.5 share?
4 benchmarks have published results for both models. DeepSeek Coder 6.7B has 9 scored results on Noometry and Phi-1.5 has 7.