Model comparison
DeepSeek-R1-Distill-Llama-70B vs Phi 3 Medium 4k Instruct
DeepSeek-R1-Distill-Llama-70B is the stronger model overall, scoring 37.8 to 33.0 on the Noometry Index.
Last verified . 0 shared benchmarks.
DeepSeek
MicrosoftSummary
- The widest gap is in writing & preference, where DeepSeek-R1-Distill-Llama-70B leads 49.0 to 34.1.
Side by side
| DeepSeek-R1-Distill-Llama-70B | Phi 3 Medium 4k Instruct | |
|---|---|---|
| Provider | DeepSeek | Microsoft |
| Noometry Index | 37.8 | 33.0 |
| Released | 2025-01-20 | — |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 13 | 17 |
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Category by category
Coding DeepSeek-R1-Distill-Llama-70B leads
DeepSeek-R1-Distill-Llama-70B: 36.8 (#202), Phi 3 Medium 4k Instruct: 32.9 (#268)
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Phi 3 Medium 4k Instruct |
|---|---|---|
| BigCodeBench Instruct | 35.3% | — |
| LiveBench Coding | 51.6% | — |
| LMArena Coding | — | 1130 |
| BigCodeBench Complete | 49.9% | — |
Reasoning DeepSeek-R1-Distill-Llama-70B leads
DeepSeek-R1-Distill-Llama-70B: 24.9 (#156), Phi 3 Medium 4k Instruct: 21.7 (#214)
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Phi 3 Medium 4k Instruct |
|---|---|---|
| Kagi LLM Benchmark | 52.3% | — |
| LiveBench Reasoning | 67.6% | — |
| LMArena Hard Prompts | — | 1127 |
| LiveBench Data Analysis | 55.9% | — |
| LiveBench | 54.5% | — |
Math DeepSeek-R1-Distill-Llama-70B leads
DeepSeek-R1-Distill-Llama-70B: 36.0 (#176), Phi 3 Medium 4k Instruct: 33.4 (#202)
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Phi 3 Medium 4k Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 51.4% | — |
| LiveBench Math | 58.1% | — |
| LMArena Math | — | 1173 |
| MATH Level 5 | 89.9% | — |
Knowledge Too close to call
DeepSeek-R1-Distill-Llama-70B: 30.7 (#225), Phi 3 Medium 4k Instruct: 30.2 (#229)
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Phi 3 Medium 4k Instruct |
|---|---|---|
| GPQA Diamond | 55.7% | — |
| LMArena Expert | — | 1108 |
Multilingual Not comparable
DeepSeek-R1-Distill-Llama-70B: —, Phi 3 Medium 4k Instruct: 30.6 (#263)
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Phi 3 Medium 4k Instruct |
|---|---|---|
| LMArena Non-English | — | 1094 |
| LMArena Chinese | — | 1108 |
| LMArena French | — | 1110 |
| LMArena German | — | 1101 |
| LMArena Japanese | — | 1042 |
| LMArena Korean | — | 954 |
| LMArena Russian | — | 1145 |
| LMArena Spanish | — | 1095 |
Instruction Following DeepSeek-R1-Distill-Llama-70B leads
DeepSeek-R1-Distill-Llama-70B: 68.2 (#190), Phi 3 Medium 4k Instruct: 57.6 (#268)
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Phi 3 Medium 4k Instruct |
|---|---|---|
| LiveBench Instruction Following | 69.9% | — |
| LMArena Instruction Following | — | 1113 |
Long Context Not comparable
DeepSeek-R1-Distill-Llama-70B: —, Phi 3 Medium 4k Instruct: 34.0 (#255)
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Phi 3 Medium 4k Instruct |
|---|---|---|
| LMArena Longer Query | — | 1120 |
Writing & Preference DeepSeek-R1-Distill-Llama-70B leads
DeepSeek-R1-Distill-Llama-70B: 49.0 (#194), Phi 3 Medium 4k Instruct: 34.1 (#272)
| Benchmark | DeepSeek-R1-Distill-Llama-70B | Phi 3 Medium 4k Instruct |
|---|---|---|
| LMArena Text | — | 1138 |
| LMArena Creative Writing | — | 1107 |
| LMArena Multi-Turn | — | 1088 |
| LiveBench Language | 23.8% | — |
Frequently asked questions
Is DeepSeek-R1-Distill-Llama-70B better than Phi 3 Medium 4k Instruct?
DeepSeek-R1-Distill-Llama-70B is the stronger model overall, scoring 37.8 to 33.0 on the Noometry Index.
Is DeepSeek-R1-Distill-Llama-70B or Phi 3 Medium 4k Instruct better for coding?
DeepSeek-R1-Distill-Llama-70B scores higher on coding benchmarks: 36.8 versus 32.9 in the Noometry coding category.
How many benchmarks do DeepSeek-R1-Distill-Llama-70B and Phi 3 Medium 4k Instruct share?
0 benchmarks have published results for both models. DeepSeek-R1-Distill-Llama-70B has 13 scored results on Noometry and Phi 3 Medium 4k Instruct has 17.