Model comparison
o1-pro vs Phi-2
o1-pro has enough public results to be ranked (#264); Phi-2 does not yet, so treat this comparison as directional.
Last verified . 0 shared benchmarks.
MicrosoftSummary
- Phi-2 has downloadable open weights; the other is API-only.
Side by side
| o1-pro | Phi-2 | |
|---|---|---|
| Provider | OpenAI | Microsoft |
| Noometry Index | 31.2 | — |
| Released | 2025-03-19 | 2023-12-12 |
| Weights | Proprietary | Open |
| Context window | 200K | — |
| Max output | 100K | — |
| Input $ / M tokens | $150 | — |
| Output $ / M tokens | $600 | — |
| Results tracked | 3 | 11 |
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Category by category
Coding Not comparable
o1-pro: —, Phi-2: —
| Benchmark | o1-pro | Phi-2 |
|---|---|---|
| HumanEval+ | — | 45.1% |
| MBPP+ | — | 54.2% |
Reasoning Not comparable
o1-pro: 20.2 (#223), Phi-2: —
| Benchmark | o1-pro | Phi-2 |
|---|---|---|
| ARC-AGI-1 | 23.3% | — |
| EnigmaEval | 6.1% | — |
| Adversarial NLI | — | 42.5% |
| BIG-Bench Hard | — | 59.4% |
| Epoch Capabilities Index | — | 107.62 |
| HellaSwag | — | 53.6% |
| WinoGrande | — | 54.7% |
Knowledge Not comparable
o1-pro: 29.3 (#227), Phi-2: —
| Benchmark | o1-pro | Phi-2 |
|---|---|---|
| Humanity's Last Exam | 8.1% | — |
| ARC (AI2) Challenge | — | 75.9% |
| MMLU | — | 58.4% |
| OpenBookQA | — | 73.6% |
| TriviaQA | — | 45.2% |
Frequently asked questions
Is o1-pro better than Phi-2?
o1-pro has enough public results to be ranked (#264); Phi-2 does not yet, so treat this comparison as directional.
How many benchmarks do o1-pro and Phi-2 share?
0 benchmarks have published results for both models. o1-pro has 3 scored results on Noometry and Phi-2 has 11.