Model comparison
DeepSeek-R1-Distill-Llama-70B vs Phi-4 Mini
DeepSeek-R1-Distill-Llama-70B is the stronger model overall, scoring 37.4 to 30.4 on the Noometry Index.
Last verified . 0 shared benchmarks.
DeepSeek
MicrosoftSummary
- The widest gap is in coding, where DeepSeek-R1-Distill-Llama-70B leads 36.3 to 27.6.
Side by side
| DeepSeek-R1-Distill-Llama-70B | Phi-4 Mini | |
|---|---|---|
| Provider | DeepSeek | Microsoft |
| Noometry Index | 37.4 | 30.4 |
| Released | 2025-01-20 | 2024-12-11 |
| Weights | Open | Open |
| Context window | — | 128K |
| Max output | — | 4K |
| Input $ / M tokens | — | $0.075 |
| Output $ / M tokens | — | $0.30 |
| Results tracked | 13 | 3 |
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Category by category
Coding DeepSeek-R1-Distill-Llama-70B leads
DeepSeek-R1-Distill-Llama-70B: 36.3 (#197), Phi-4 Mini: 27.6 (#312)
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Phi-4 Mini |
|---|---|---|
| SciCode | — | 10.8% |
| BigCodeBench Instruct | 35.3% | — |
| LiveBench Coding | 51.6% | — |
| BigCodeBench Complete | 49.9% | — |
Reasoning DeepSeek-R1-Distill-Llama-70B leads
DeepSeek-R1-Distill-Llama-70B: 24.1 (#150), Phi-4 Mini: 21.7 (#190)
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Phi-4 Mini |
|---|---|---|
| Kagi LLM Benchmark | 52.3% | — |
| CritPt | — | 0% |
| LiveBench Reasoning | 67.6% | — |
| LiveBench Data Analysis | 55.9% | — |
| LiveBench | 54.5% | — |
Math Not comparable
DeepSeek-R1-Distill-Llama-70B: 34.3 (#161), Phi-4 Mini: —
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Phi-4 Mini |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 51.4% | — |
| LiveBench Math | 58.1% | — |
| MATH Level 5 | 89.9% | — |
Knowledge DeepSeek-R1-Distill-Llama-70B leads
DeepSeek-R1-Distill-Llama-70B: 30.7 (#216), Phi-4 Mini: 24.8 (#261)
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Phi-4 Mini |
|---|---|---|
| GPQA Diamond | 55.7% | — |
| Vectara Hallucination Rate | — | 23.5% |
Instruction Following Not comparable
DeepSeek-R1-Distill-Llama-70B: 68.3 (#185), Phi-4 Mini: —
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Phi-4 Mini |
|---|---|---|
| LiveBench Instruction Following | 69.9% | — |
Writing & Preference Not comparable
DeepSeek-R1-Distill-Llama-70B: 49.0 (#189), Phi-4 Mini: —
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Phi-4 Mini |
|---|---|---|
| LiveBench Language | 23.8% | — |
Frequently asked questions
Is DeepSeek-R1-Distill-Llama-70B better than Phi-4 Mini?
DeepSeek-R1-Distill-Llama-70B is the stronger model overall, scoring 37.4 to 30.4 on the Noometry Index.
Is DeepSeek-R1-Distill-Llama-70B or Phi-4 Mini better for coding?
DeepSeek-R1-Distill-Llama-70B scores higher on coding benchmarks: 36.3 versus 27.6 in the Noometry coding category.
How many benchmarks do DeepSeek-R1-Distill-Llama-70B and Phi-4 Mini share?
0 benchmarks have published results for both models. DeepSeek-R1-Distill-Llama-70B has 13 scored results on Noometry and Phi-4 Mini has 3.