Model comparison
DeepSeek-R1-Distill-Qwen-1.5B vs Phi 3 Medium 4k Instruct
Phi 3 Medium 4k Instruct is the stronger model overall, scoring 33.0 to 26.1 on the Noometry Index.
Last verified . 0 shared benchmarks.
DeepSeek
MicrosoftSummary
- The widest gap is in knowledge, where Phi 3 Medium 4k Instruct leads 30.2 to 16.0.
Side by side
| DeepSeek-R1-Distill-Qwen-1.5B | Phi 3 Medium 4k Instruct | |
|---|---|---|
| Provider | DeepSeek | Microsoft |
| Noometry Index | 26.1 | 33.0 |
| Released | 2025-01-20 | — |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 5 | 17 |
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Category by category
Coding Phi 3 Medium 4k Instruct leads
DeepSeek-R1-Distill-Qwen-1.5B: 21.8 (#336), Phi 3 Medium 4k Instruct: 32.9 (#268)
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | Phi 3 Medium 4k Instruct |
|---|---|---|
| BigCodeBench Instruct | 7% | — |
| LMArena Coding | — | 1130 |
| BigCodeBench Complete | 7.9% | — |
Reasoning Phi 3 Medium 4k Instruct leads
DeepSeek-R1-Distill-Qwen-1.5B: 19.2 (#262), Phi 3 Medium 4k Instruct: 21.7 (#214)
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | Phi 3 Medium 4k Instruct |
|---|---|---|
| Chess Puzzles | 0% | — |
| LMArena Hard Prompts | — | 1127 |
Math Phi 3 Medium 4k Instruct leads
DeepSeek-R1-Distill-Qwen-1.5B: 23.0 (#274), Phi 3 Medium 4k Instruct: 33.4 (#202)
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | Phi 3 Medium 4k Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 21.4% | — |
| LMArena Math | — | 1173 |
Knowledge Phi 3 Medium 4k Instruct leads
DeepSeek-R1-Distill-Qwen-1.5B: 16.0 (#290), Phi 3 Medium 4k Instruct: 30.2 (#229)
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | Phi 3 Medium 4k Instruct |
|---|---|---|
| GPQA Diamond | 33.6% | — |
| LMArena Expert | — | 1108 |
Multilingual Not comparable
DeepSeek-R1-Distill-Qwen-1.5B: —, Phi 3 Medium 4k Instruct: 30.6 (#263)
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | 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 Not comparable
DeepSeek-R1-Distill-Qwen-1.5B: —, Phi 3 Medium 4k Instruct: 57.6 (#268)
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | Phi 3 Medium 4k Instruct |
|---|---|---|
| LMArena Instruction Following | — | 1113 |
Long Context Not comparable
DeepSeek-R1-Distill-Qwen-1.5B: —, Phi 3 Medium 4k Instruct: 34.0 (#255)
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | Phi 3 Medium 4k Instruct |
|---|---|---|
| LMArena Longer Query | — | 1120 |
Writing & Preference Not comparable
DeepSeek-R1-Distill-Qwen-1.5B: —, Phi 3 Medium 4k Instruct: 34.1 (#272)
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | Phi 3 Medium 4k Instruct |
|---|---|---|
| LMArena Text | — | 1138 |
| LMArena Creative Writing | — | 1107 |
| LMArena Multi-Turn | — | 1088 |
Frequently asked questions
Is DeepSeek-R1-Distill-Qwen-1.5B better than Phi 3 Medium 4k Instruct?
Phi 3 Medium 4k Instruct is the stronger model overall, scoring 33.0 to 26.1 on the Noometry Index.
Is DeepSeek-R1-Distill-Qwen-1.5B or Phi 3 Medium 4k Instruct better for coding?
Phi 3 Medium 4k Instruct scores higher on coding benchmarks: 32.9 versus 21.8 in the Noometry coding category.
How many benchmarks do DeepSeek-R1-Distill-Qwen-1.5B and Phi 3 Medium 4k Instruct share?
0 benchmarks have published results for both models. DeepSeek-R1-Distill-Qwen-1.5B has 5 scored results on Noometry and Phi 3 Medium 4k Instruct has 17.