Model comparison
DeepSeek-V2 (MoE-236B, May 2024) vs Phi-3.5-mini
Neither DeepSeek-V2 (MoE-236B, May 2024) nor Phi-3.5-mini has enough public benchmark results to be ranked yet; the rows below show what has been published.
Last verified . 3 shared benchmarks.
DeepSeek
MicrosoftSummary
- They share 3 benchmarks with published results for both. DeepSeek-V2 (MoE-236B, May 2024) scores higher in 1 category and Phi-3.5-mini in 0 categories; one gap is clear of the uncertainty.
- The widest gap is in coding, where DeepSeek-V2 (MoE-236B, May 2024) leads 40.4 to 34.6.
- The biggest single-benchmark swing is BigCodeBench Complete: 59.4% for DeepSeek-V2 (MoE-236B, May 2024) and 38.5% for Phi-3.5-mini.
Side by side
| DeepSeek-V2 (MoE-236B, May 2024) | Phi-3.5-mini | |
|---|---|---|
| Provider | DeepSeek | Microsoft |
| Noometry Index | 40.3 | 36.9 |
| Released | 2024-05-07 | 2024-08-16 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 10 | 5 |
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Category by category
Coding DeepSeek-V2 (MoE-236B, May 2024) leads
DeepSeek-V2 (MoE-236B, May 2024): 40.4 (#139), Phi-3.5-mini: 34.6 (#232)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Phi-3.5-mini |
|---|---|---|
| BigCodeBench Instruct | 48.9% | 32.8% |
| BigCodeBench Complete | 59.4% | 38.5% |
Reasoning Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Phi-3.5-mini: —
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Phi-3.5-mini |
|---|---|---|
| PIQA | 83.9% | 81% |
| BIG-Bench Hard | 78.8% | — |
| Epoch Capabilities Index | 124.77 | — |
| HellaSwag | 87.1% | — |
| WinoGrande | 86.3% | — |
Math Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Phi-3.5-mini: —
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Phi-3.5-mini |
|---|---|---|
| GSM8K | — | 86.2% |
Knowledge Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Phi-3.5-mini: —
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Phi-3.5-mini |
|---|---|---|
| ARC (AI2) Challenge | 92.2% | — |
| BoolQ | — | 78% |
| MMLU | 78.4% | — |
| TriviaQA | 80% | — |
Frequently asked questions
Is DeepSeek-V2 (MoE-236B, May 2024) better than Phi-3.5-mini?
Neither DeepSeek-V2 (MoE-236B, May 2024) nor Phi-3.5-mini has enough public benchmark results to be ranked yet; the rows below show what has been published.
Is DeepSeek-V2 (MoE-236B, May 2024) or Phi-3.5-mini better for coding?
DeepSeek-V2 (MoE-236B, May 2024) scores higher on coding benchmarks: 40.4 versus 34.6 in the Noometry coding category.
How many benchmarks do DeepSeek-V2 (MoE-236B, May 2024) and Phi-3.5-mini share?
3 benchmarks have published results for both models. DeepSeek-V2 (MoE-236B, May 2024) has 10 scored results on Noometry and Phi-3.5-mini has 5.