Model comparison
Phi-1.5 vs Qwen3.5-9B
Qwen3.5-9B has enough public results to be ranked (#236); Phi-1.5 does not yet, so treat this comparison as directional.
Last verified . 1 shared benchmarks.
Microsoft
Alibaba (Qwen)Summary
- They share 1 benchmark with published results for both.
Side by side
| Phi-1.5 | Qwen3.5-9B | |
|---|---|---|
| Provider | Microsoft | Alibaba (Qwen) |
| Noometry Index | — | 33.8 |
| Released | 2023-09-11 | 2026-02-23 |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 66K |
| Input $ / M tokens | — | $0.10 |
| Output $ / M tokens | — | $0.15 |
| Results tracked | 7 | 10 |
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Category by category
Coding Not comparable
Phi-1.5: —, Qwen3.5-9B: 35.9 (#217)
| Benchmark | Phi-1.5 | Qwen3.5-9B |
|---|---|---|
| SciCode | — | 27.5% |
Agentic & Tool Use Not comparable
Phi-1.5: —, Qwen3.5-9B: 14.5 (#151)
| Benchmark | Phi-1.5 | Qwen3.5-9B |
|---|---|---|
| Terminal-Bench | — | 9.2% |
Reasoning Not comparable
Phi-1.5: —, Qwen3.5-9B: 23.1 (#182)
| Benchmark | Phi-1.5 | Qwen3.5-9B |
|---|---|---|
| Epoch Capabilities Index | 91.53 | 139.46 |
| CritPt | — | 0.3% |
| Chess Puzzles | — | 12% |
| DTBench | — | 71.2% |
| LMCA | — | 24.5% |
| HellaSwag | 47.6% | — |
| WinoGrande | 73.4% | — |
Math Not comparable
Phi-1.5: —, Qwen3.5-9B: 34.8 (#192)
| Benchmark | Phi-1.5 | Qwen3.5-9B |
|---|---|---|
| MathArena Final-Answer Competitions | — | 48.5% |
| OTIS Mock AIME 2024-2025 | — | 61.7% |
Knowledge Not comparable
Phi-1.5: —, Qwen3.5-9B: 46.0 (#84)
| Benchmark | Phi-1.5 | Qwen3.5-9B |
|---|---|---|
| GPQA Diamond | — | 79% |
| ARC (AI2) Challenge | 44.4% | — |
| BoolQ | 75.8% | — |
| MMLU | 37.6% | — |
| OpenBookQA | 37.2% | — |
Frequently asked questions
Is Phi-1.5 better than Qwen3.5-9B?
Qwen3.5-9B has enough public results to be ranked (#236); Phi-1.5 does not yet, so treat this comparison as directional.
How many benchmarks do Phi-1.5 and Qwen3.5-9B share?
1 benchmark has published results for both models. Phi-1.5 has 7 scored results on Noometry and Qwen3.5-9B has 10.