Model comparison
Phi-2 vs Qwen3-1.7B
Qwen3-1.7B has enough public results to be ranked (#331); Phi-2 does not yet, so treat this comparison as directional.
Last verified . 0 shared benchmarks.
Microsoft
Alibaba (Qwen)Side by side
| Phi-2 | Qwen3-1.7B | |
|---|---|---|
| Provider | Microsoft | Alibaba (Qwen) |
| Noometry Index | — | 26.2 |
| Released | 2023-12-12 | 2025-04-29 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 11 | 4 |
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Category by category
Coding Not comparable
Phi-2: —, Qwen3-1.7B: —
| Benchmark | Phi-2 | Qwen3-1.7B |
|---|---|---|
| HumanEval+ | 45.1% | — |
| MBPP+ | 54.2% | — |
Agentic & Tool Use Not comparable
Phi-2: —, Qwen3-1.7B: 24.5 (#108)
| Benchmark | Phi-2 | Qwen3-1.7B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 28.4% |
Reasoning Not comparable
Phi-2: —, Qwen3-1.7B: 18.5 (#263)
| Benchmark | Phi-2 | Qwen3-1.7B |
|---|---|---|
| Chess Puzzles | — | 0% |
| Adversarial NLI | 42.5% | — |
| BIG-Bench Hard | 59.4% | — |
| Epoch Capabilities Index | 107.62 | — |
| HellaSwag | 53.6% | — |
| WinoGrande | 54.7% | — |
Math Not comparable
Phi-2: —, Qwen3-1.7B: 15.4 (#288)
| Benchmark | Phi-2 | Qwen3-1.7B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 8.1% |
Knowledge Not comparable
Phi-2: —, Qwen3-1.7B: 19.6 (#273)
| Benchmark | Phi-2 | Qwen3-1.7B |
|---|---|---|
| GPQA Diamond | — | 38% |
| ARC (AI2) Challenge | 75.9% | — |
| MMLU | 58.4% | — |
| OpenBookQA | 73.6% | — |
| TriviaQA | 45.2% | — |
Frequently asked questions
Is Phi-2 better than Qwen3-1.7B?
Qwen3-1.7B has enough public results to be ranked (#331); Phi-2 does not yet, so treat this comparison as directional.
How many benchmarks do Phi-2 and Qwen3-1.7B share?
0 benchmarks have published results for both models. Phi-2 has 11 scored results on Noometry and Qwen3-1.7B has 4.