Model comparison
DeepSeek-V2 (MoE-236B, May 2024) vs Phi-1.5
Neither DeepSeek-V2 (MoE-236B, May 2024) nor Phi-1.5 has enough public benchmark results to be ranked yet; the rows below show what has been published.
Last verified . 5 shared benchmarks.
DeepSeek
MicrosoftSummary
- They share 5 benchmarks with published results for both.
Side by side
| DeepSeek-V2 (MoE-236B, May 2024) | Phi-1.5 | |
|---|---|---|
| Provider | DeepSeek | Microsoft |
| Noometry Index | 40.3 | — |
| Released | 2024-05-07 | 2023-09-11 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 10 | 7 |
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Category by category
Coding Not comparable
DeepSeek-V2 (MoE-236B, May 2024): 40.4 (#139), Phi-1.5: —
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Phi-1.5 |
|---|---|---|
| BigCodeBench Instruct | 48.9% | — |
| BigCodeBench Complete | 59.4% | — |
Reasoning Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Phi-1.5: —
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Phi-1.5 |
|---|---|---|
| Epoch Capabilities Index | 124.77 | 91.53 |
| HellaSwag | 87.1% | 47.6% |
| WinoGrande | 86.3% | 73.4% |
| BIG-Bench Hard | 78.8% | — |
| PIQA | 83.9% | — |
Knowledge Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Phi-1.5: —
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Phi-1.5 |
|---|---|---|
| ARC (AI2) Challenge | 92.2% | 44.4% |
| MMLU | 78.4% | 37.6% |
| BoolQ | — | 75.8% |
| OpenBookQA | — | 37.2% |
| TriviaQA | 80% | — |
Frequently asked questions
Is DeepSeek-V2 (MoE-236B, May 2024) better than Phi-1.5?
Neither DeepSeek-V2 (MoE-236B, May 2024) 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-V2 (MoE-236B, May 2024) and Phi-1.5 share?
5 benchmarks have published results for both models. DeepSeek-V2 (MoE-236B, May 2024) has 10 scored results on Noometry and Phi-1.5 has 7.