Model comparison
Phi-4 vs Qwen3-1.7B
Phi-4 is the stronger model overall, scoring 31.2 to 26.6 on the Noometry Index.
Last verified . 4 shared benchmarks.
Microsoft
Alibaba (Qwen)Summary
- They share 4 benchmarks with published results for both. Phi-4 scores higher in 2 categories and Qwen3-1.7B in 2 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Phi-4 leads 32.6 to 19.6.
- The biggest single-benchmark swing is GPQA Diamond: 56.1% for Phi-4 and 38% for Qwen3-1.7B.
Side by side
| Phi-4 | Qwen3-1.7B | |
|---|---|---|
| Provider | Microsoft | Alibaba (Qwen) |
| Noometry Index | 31.2 | 26.6 |
| Released | 2024-12-11 | 2025-04-29 |
| Weights | Open | Open |
| Context window | 128K | — |
| Max output | 4K | — |
| Input $ / M tokens | $0.07 | — |
| Output $ / M tokens | $0.14 | — |
| Results tracked | 37 | 4 |
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Category by category
Coding Not comparable
Phi-4: 34.4 (#239), Qwen3-1.7B: —
| Benchmark | Phi-4 | Qwen3-1.7B |
|---|---|---|
| BigCodeBench Instruct | 45.5% | — |
| LiveBench Coding | 30.7% | — |
| LMArena Coding | 1231 | — |
| BigCodeBench Complete | 55.4% | — |
Agentic & Tool Use Qwen3-1.7B leads
Phi-4: 22.8 (#128), Qwen3-1.7B: 24.7 (#115)
| Benchmark | Phi-4 | Qwen3-1.7B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 28.8% | 28.4% |
| BALROG | 11.6% | — |
Reasoning Qwen3-1.7B leads
Phi-4: 17.7 (#291), Qwen3-1.7B: 19.2 (#267)
| Benchmark | Phi-4 | Qwen3-1.7B |
|---|---|---|
| Chess Puzzles | 1% | 0% |
| LiveBench Reasoning | 47.8% | — |
| LMArena Hard Prompts | 1220 | — |
| LiveBench Data Analysis | 45.2% | — |
| Epoch Capabilities Index | 130.42 | — |
| LiveBench | 41.6% | — |
Math Phi-4 leads
Phi-4: 20.8 (#285), Qwen3-1.7B: 16.3 (#294)
| Benchmark | Phi-4 | Qwen3-1.7B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 13.8% | 8.1% |
| LiveBench Math | 42% | — |
| LMArena Math | 1246 | — |
| MATH Level 5 | 64.9% | — |
Knowledge Phi-4 leads
Phi-4: 32.6 (#209), Qwen3-1.7B: 19.6 (#278)
| Benchmark | Phi-4 | Qwen3-1.7B |
|---|---|---|
| GPQA Diamond | 56.1% | 38% |
| Confabulations | 29.4% | — |
| Vectara Hallucination Rate | 3.7% | — |
| LMArena Expert | 1203 | — |
| MMLU | 84.8% | — |
Multilingual Not comparable
Phi-4: 37.2 (#237), Qwen3-1.7B: —
| Benchmark | Phi-4 | Qwen3-1.7B |
|---|---|---|
| LMArena Non-English | 1197 | — |
| LMArena Chinese | 1212 | — |
| LMArena French | 1224 | — |
| LMArena German | 1222 | — |
| LMArena Japanese | 1158 | — |
| LMArena Korean | 1151 | — |
| LMArena Russian | 1209 | — |
| LMArena Spanish | 1234 | — |
Instruction Following Not comparable
Phi-4: 60.4 (#251), Qwen3-1.7B: —
| Benchmark | Phi-4 | Qwen3-1.7B |
|---|---|---|
| LiveBench Instruction Following | 58.4% | — |
| LMArena Instruction Following | 1201 | — |
Long Context Not comparable
Phi-4: 36.9 (#226), Qwen3-1.7B: —
| Benchmark | Phi-4 | Qwen3-1.7B |
|---|---|---|
| LMArena Longer Query | 1217 | — |
Writing & Preference Not comparable
Phi-4: 40.5 (#244), Qwen3-1.7B: —
| Benchmark | Phi-4 | Qwen3-1.7B |
|---|---|---|
| LMArena Text | 1217 | — |
| LMArena Creative Writing | 1182 | — |
| Short-Story Creative Writing | 62.6% | — |
| LMArena Multi-Turn | 1206 | — |
| LiveBench Language | 25.6% | — |
Frequently asked questions
Is Phi-4 better than Qwen3-1.7B?
Phi-4 is the stronger model overall, scoring 31.2 to 26.6 on the Noometry Index.
How many benchmarks do Phi-4 and Qwen3-1.7B share?
4 benchmarks have published results for both models. Phi-4 has 37 scored results on Noometry and Qwen3-1.7B has 4.