Model comparison
DeepSeek LLM 67B vs Phi-4 Mini
Phi-4 Mini is the stronger model overall, scoring 30.9 to 24.9 on the Noometry Index.
Last verified . 0 shared benchmarks.
DeepSeek
MicrosoftSummary
- The widest gap is in knowledge, where Phi-4 Mini leads 25.3 to 7.0.
Side by side
| DeepSeek LLM 67B | Phi-4 Mini | |
|---|---|---|
| Provider | DeepSeek | Microsoft |
| Noometry Index | 24.9 | 30.9 |
| Released | 2023-11-29 | 2024-12-11 |
| Weights | Open | Open |
| Context window | — | 128K |
| Max output | — | 4K |
| Input $ / M tokens | — | $0.075 |
| Output $ / M tokens | — | $0.30 |
| Results tracked | 15 | 3 |
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Category by category
Coding DeepSeek LLM 67B leads
DeepSeek LLM 67B: 31.9 (#278), Phi-4 Mini: 28.1 (#317)
| Benchmark | DeepSeek LLM 67B | Phi-4 Mini |
|---|---|---|
| SciCode | — | 10.8% |
| LMArena Coding | 1096 | — |
Reasoning Phi-4 Mini leads
DeepSeek LLM 67B: 16.5 (#304), Phi-4 Mini: 22.4 (#195)
| Benchmark | DeepSeek LLM 67B | Phi-4 Mini |
|---|---|---|
| CritPt | — | 0% |
| Chess Puzzles | 0% | — |
| LMArena Hard Prompts | 1070 | — |
| Epoch Capabilities Index | 110.5 | — |
Math Not comparable
DeepSeek LLM 67B: 8.7 (#324), Phi-4 Mini: —
| Benchmark | DeepSeek LLM 67B | Phi-4 Mini |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 0.8% | — |
| LMArena Math | 1108 | — |
| MATH Level 5 | 6.4% | — |
Knowledge Phi-4 Mini leads
DeepSeek LLM 67B: 7.0 (#313), Phi-4 Mini: 25.3 (#262)
| Benchmark | DeepSeek LLM 67B | Phi-4 Mini |
|---|---|---|
| GPQA Diamond | 24.6% | — |
| Vectara Hallucination Rate | — | 23.5% |
Multilingual Not comparable
DeepSeek LLM 67B: 29.4 (#267), Phi-4 Mini: —
| Benchmark | DeepSeek LLM 67B | Phi-4 Mini |
|---|---|---|
| LMArena Non-English | 1073 | — |
| LMArena Chinese | 1132 | — |
Instruction Following Not comparable
DeepSeek LLM 67B: 55.4 (#277), Phi-4 Mini: —
| Benchmark | DeepSeek LLM 67B | Phi-4 Mini |
|---|---|---|
| LMArena Instruction Following | 1079 | — |
Long Context Not comparable
DeepSeek LLM 67B: 33.1 (#265), Phi-4 Mini: —
| Benchmark | DeepSeek LLM 67B | Phi-4 Mini |
|---|---|---|
| LMArena Longer Query | 1092 | — |
Writing & Preference Not comparable
DeepSeek LLM 67B: 31.6 (#282), Phi-4 Mini: —
| Benchmark | DeepSeek LLM 67B | Phi-4 Mini |
|---|---|---|
| LMArena Text | 1105 | — |
| LMArena Creative Writing | 1067 | — |
| LMArena Multi-Turn | 1082 | — |
Frequently asked questions
Is DeepSeek LLM 67B better than Phi-4 Mini?
Phi-4 Mini is the stronger model overall, scoring 30.9 to 24.9 on the Noometry Index.
Is DeepSeek LLM 67B or Phi-4 Mini better for coding?
DeepSeek LLM 67B scores higher on coding benchmarks: 31.9 versus 28.1 in the Noometry coding category.
How many benchmarks do DeepSeek LLM 67B and Phi-4 Mini share?
0 benchmarks have published results for both models. DeepSeek LLM 67B has 15 scored results on Noometry and Phi-4 Mini has 3.