Earlier quoted context omitted.
Is it o3 (low), o3 (medium) or o3 (high)? Different model names have crept into the various benchmarks over the last few months.
o3 is a model, and reasoning effort (high/medium/low) is a parameter that goes into the model. o3 pro is a different thing - it’s not just o3 with maximum remaining effort.
Here's the current state with version numbers as far as I can piece it together (using my best guess at naming of each component of the version identifier. Might be totally wrong tho):
1) prefix (optional): "gpt-", "chatgpt-"
2) family (required): o1, o3, o4, 4o, 3.5, 4, 4.1, 4.5,
3) quality? (optional): "nano", "mini", "pro", "turbo"
4) type (optional): "audio", "search"
5) lifecycle (optional): "preview", "latest"
6) date (optional): 2025-04-14, 2024-05-13, 1106, 0613, 0125, etc (I assume the last ones are a date without a year for 2024?)
7) size (optional): "16k"
Some final combinations of these version number components are as small as 1 ("o3") or as large as 6 ("gpt-4o-mini-search-preview-2024-12-17").
Given this mess, I can't blame people assuming that the "best" model is the one with the "biggest" number, which would rank the model families as: 4.5 (best) > 4.1 > 4 > 4o > o4 > 3.5 > o3 > o1 (worst).