Model comparison
Phi-1.5 vs Qwen3-1.7B
Qwen3-1.7B has enough public results to be ranked (#336); Phi-1.5 does not yet, so treat this comparison as directional.
Last verified . 0 shared benchmarks.
Microsoft
Alibaba (Qwen)Side by side
| Phi-1.5 | Qwen3-1.7B | |
|---|---|---|
| Provider | Microsoft | Alibaba (Qwen) |
| Noometry Index | — | 26.6 |
| Released | 2023-09-11 | 2025-04-29 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 7 | 4 |
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Category by category
Agentic & Tool Use Not comparable
Phi-1.5: —, Qwen3-1.7B: 24.7 (#115)
| Benchmark | Phi-1.5 | Qwen3-1.7B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 28.4% |
Reasoning Not comparable
Phi-1.5: —, Qwen3-1.7B: 19.2 (#267)
| Benchmark | Phi-1.5 | Qwen3-1.7B |
|---|---|---|
| Chess Puzzles | — | 0% |
| Epoch Capabilities Index | 91.53 | — |
| HellaSwag | 47.6% | — |
| WinoGrande | 73.4% | — |
Math Not comparable
Phi-1.5: —, Qwen3-1.7B: 16.3 (#294)
| Benchmark | Phi-1.5 | Qwen3-1.7B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 8.1% |
Knowledge Not comparable
Phi-1.5: —, Qwen3-1.7B: 19.6 (#278)
| Benchmark | Phi-1.5 | Qwen3-1.7B |
|---|---|---|
| GPQA Diamond | — | 38% |
| ARC (AI2) Challenge | 44.4% | — |
| BoolQ | 75.8% | — |
| MMLU | 37.6% | — |
| OpenBookQA | 37.2% | — |
Frequently asked questions
Is Phi-1.5 better than Qwen3-1.7B?
Qwen3-1.7B has enough public results to be ranked (#336); Phi-1.5 does not yet, so treat this comparison as directional.
How many benchmarks do Phi-1.5 and Qwen3-1.7B share?
0 benchmarks have published results for both models. Phi-1.5 has 7 scored results on Noometry and Qwen3-1.7B has 4.