Model comparison
o1-pro vs phi-3-medium 14B
o1-pro is the stronger model overall, scoring 31.5 to 29.7 on the Noometry Index.
Last verified . 0 shared benchmarks.
MicrosoftSummary
- The widest gap is in knowledge, where o1-pro leads 29.7 to 9.1.
- phi-3-medium 14B has downloadable open weights; the other is API-only.
Side by side
| o1-pro | phi-3-medium 14B | |
|---|---|---|
| Provider | OpenAI | Microsoft |
| Noometry Index | 31.5 | 29.7 |
| Released | 2025-03-19 | 2024-04-23 |
| Weights | Proprietary | Open |
| Context window | 200K | — |
| Max output | 100K | — |
| Input $ / M tokens | $150 | — |
| Output $ / M tokens | $600 | — |
| Results tracked | 3 | 13 |
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Category by category
Coding Not comparable
o1-pro: —, phi-3-medium 14B: 36.8 (#201)
| Benchmark | o1-pro | phi-3-medium 14B |
|---|---|---|
| BigCodeBench Instruct | — | 37.6% |
| BigCodeBench Complete | — | 48.7% |
Reasoning Not comparable
o1-pro: 20.4 (#239), phi-3-medium 14B: —
| Benchmark | o1-pro | phi-3-medium 14B |
|---|---|---|
| ARC-AGI-1 | 23.3% | — |
| EnigmaEval | 6.1% | — |
| Adversarial NLI | — | 55.8% |
| BIG-Bench Hard | — | 81.4% |
| Epoch Capabilities Index | — | 121.23 |
| HellaSwag | — | 82.4% |
| WinoGrande | — | 81.5% |
Math Not comparable
o1-pro: —, phi-3-medium 14B: 27.3 (#250)
| Benchmark | o1-pro | phi-3-medium 14B |
|---|---|---|
| MATH Level 5 | — | 17.6% |
Knowledge o1-pro leads
o1-pro: 29.7 (#234), phi-3-medium 14B: 9.1 (#306)
| Benchmark | o1-pro | phi-3-medium 14B |
|---|---|---|
| GPQA Diamond | — | 27.6% |
| Humanity's Last Exam | 8.1% | — |
| ARC (AI2) Challenge | — | 91.6% |
| MMLU | — | 78% |
| OpenBookQA | — | 87.4% |
| TriviaQA | — | 73.9% |
Frequently asked questions
Is o1-pro better than phi-3-medium 14B?
o1-pro is the stronger model overall, scoring 31.5 to 29.7 on the Noometry Index.
How many benchmarks do o1-pro and phi-3-medium 14B share?
0 benchmarks have published results for both models. o1-pro has 3 scored results on Noometry and phi-3-medium 14B has 13.