Model comparison
DeepSeek LLM 67B vs Phi-3.5-MoE
DeepSeek LLM 67B has enough public results to be ranked (#341); Phi-3.5-MoE does not yet, so treat this comparison as directional.
Last verified . 0 shared benchmarks.
Side by side
| DeepSeek LLM 67B | Phi-3.5-MoE | |
|---|---|---|
| Provider | DeepSeek | Microsoft |
| Noometry Index | 24.8 | — |
| Released | 2023-11-29 | 2024-08-17 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 15 | 3 |
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Category by category
Coding Not comparable
DeepSeek LLM 67B: 31.3 (#273), Phi-3.5-MoE: —
| Benchmark | DeepSeek LLM 67B | Phi-3.5-MoE |
|---|---|---|
| LMArena Coding | 1096 | — |
Reasoning Not comparable
DeepSeek LLM 67B: 15.9 (#300), Phi-3.5-MoE: —
| Benchmark | DeepSeek LLM 67B | Phi-3.5-MoE |
|---|---|---|
| Chess Puzzles | 0% | — |
| LMArena Hard Prompts | 1070 | — |
| Epoch Capabilities Index | 110.54 | — |
| PIQA | — | 88.6% |
Math Not comparable
DeepSeek LLM 67B: 8.1 (#318), Phi-3.5-MoE: —
| Benchmark | DeepSeek LLM 67B | Phi-3.5-MoE |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 0.8% | — |
| LMArena Math | 1108 | — |
| MATH Level 5 | 6.4% | — |
| GSM8K | — | 88.7% |
Knowledge Not comparable
DeepSeek LLM 67B: 7.1 (#308), Phi-3.5-MoE: —
| Benchmark | DeepSeek LLM 67B | Phi-3.5-MoE |
|---|---|---|
| GPQA Diamond | 24.6% | — |
| BoolQ | — | 84.6% |
Multilingual Not comparable
DeepSeek LLM 67B: 29.5 (#262), Phi-3.5-MoE: —
| Benchmark | DeepSeek LLM 67B | Phi-3.5-MoE |
|---|---|---|
| LMArena Non-English | 1073 | — |
| LMArena Chinese | 1132 | — |
Instruction Following Not comparable
DeepSeek LLM 67B: 55.7 (#272), Phi-3.5-MoE: —
| Benchmark | DeepSeek LLM 67B | Phi-3.5-MoE |
|---|---|---|
| LMArena Instruction Following | 1079 | — |
Long Context Not comparable
DeepSeek LLM 67B: 33.1 (#260), Phi-3.5-MoE: —
| Benchmark | DeepSeek LLM 67B | Phi-3.5-MoE |
|---|---|---|
| LMArena Longer Query | 1092 | — |
Writing & Preference Not comparable
DeepSeek LLM 67B: 31.8 (#277), Phi-3.5-MoE: —
| Benchmark | DeepSeek LLM 67B | Phi-3.5-MoE |
|---|---|---|
| LMArena Text | 1105 | — |
| LMArena Creative Writing | 1067 | — |
| LMArena Multi-Turn | 1082 | — |
Frequently asked questions
Is DeepSeek LLM 67B better than Phi-3.5-MoE?
DeepSeek LLM 67B has enough public results to be ranked (#341); Phi-3.5-MoE does not yet, so treat this comparison as directional.
How many benchmarks do DeepSeek LLM 67B and Phi-3.5-MoE share?
0 benchmarks have published results for both models. DeepSeek LLM 67B has 15 scored results on Noometry and Phi-3.5-MoE has 3.