Model comparison
Phi-4 Mini vs Qwen3.5-9B
Qwen3.5-9B is the stronger model overall, scoring 33.8 to 30.9 on the Noometry Index.
Last verified . 2 shared benchmarks.
Microsoft
Alibaba (Qwen)Summary
- They share 2 benchmarks with published results for both. Phi-4 Mini scores higher in 0 categories and Qwen3.5-9B in 3 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.5-9B leads 46.0 to 25.3.
- The biggest single-benchmark swing is SciCode: 10.8% for Phi-4 Mini and 27.5% for Qwen3.5-9B.
- Qwen3.5-9B is cheaper at $0.10 / $0.15 per million input/output tokens, against $0.075 / $0.30 for Phi-4 Mini.
- Qwen3.5-9B accepts more context: 262K tokens versus 128K.
Side by side
| Phi-4 Mini | Qwen3.5-9B | |
|---|---|---|
| Provider | Microsoft | Alibaba (Qwen) |
| Noometry Index | 30.9 | 33.8 |
| Released | 2024-12-11 | 2026-02-23 |
| Weights | Open | Open |
| Context window | 128K | 262K |
| Max output | 4K | 66K |
| Input $ / M tokens | $0.075 | $0.10 |
| Output $ / M tokens | $0.30 | $0.15 |
| Results tracked | 3 | 10 |
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Category by category
Coding Qwen3.5-9B leads
Phi-4 Mini: 28.1 (#317), Qwen3.5-9B: 35.9 (#217)
| Benchmark | Phi-4 Mini | Qwen3.5-9B |
|---|---|---|
| SciCode | 10.8% | 27.5% |
Agentic & Tool Use Not comparable
Phi-4 Mini: —, Qwen3.5-9B: 14.5 (#151)
| Benchmark | Phi-4 Mini | Qwen3.5-9B |
|---|---|---|
| Terminal-Bench | — | 9.2% |
Reasoning Too close to call
Phi-4 Mini: 22.4 (#195), Qwen3.5-9B: 23.1 (#182)
| Benchmark | Phi-4 Mini | Qwen3.5-9B |
|---|---|---|
| CritPt | 0% | 0.3% |
| Chess Puzzles | — | 12% |
| DTBench | — | 71.2% |
| LMCA | — | 24.5% |
| Epoch Capabilities Index | — | 139.46 |
Math Not comparable
Phi-4 Mini: —, Qwen3.5-9B: 34.8 (#192)
| Benchmark | Phi-4 Mini | Qwen3.5-9B |
|---|---|---|
| MathArena Final-Answer Competitions | — | 48.5% |
| OTIS Mock AIME 2024-2025 | — | 61.7% |
Knowledge Qwen3.5-9B leads
Phi-4 Mini: 25.3 (#262), Qwen3.5-9B: 46.0 (#84)
| Benchmark | Phi-4 Mini | Qwen3.5-9B |
|---|---|---|
| GPQA Diamond | — | 79% |
| Vectara Hallucination Rate | 23.5% | — |
Frequently asked questions
Is Phi-4 Mini better than Qwen3.5-9B?
Qwen3.5-9B is the stronger model overall, scoring 33.8 to 30.9 on the Noometry Index.
Which is cheaper, Phi-4 Mini or Qwen3.5-9B?
Qwen3.5-9B is cheaper. It lists at $0.10 per million input tokens and $0.15 per million output tokens; Phi-4 Mini lists at $0.075 and $0.30.
Is Phi-4 Mini or Qwen3.5-9B better for coding?
Qwen3.5-9B scores higher on coding benchmarks: 35.9 versus 28.1 in the Noometry coding category.
Which has the bigger context window?
Qwen3.5-9B does, with 262K tokens against 128K.
How many benchmarks do Phi-4 Mini and Qwen3.5-9B share?
2 benchmarks have published results for both models. Phi-4 Mini has 3 scored results on Noometry and Qwen3.5-9B has 10.