GPT-4.1 nano vs o1-pro

Pick o1-pro if you want the stronger benchmark profile. GPT-4.1 nano only becomes the better choice if you want the cheaper token bill or you need the larger 1M context window.

o1-pro has the cleaner provisional overall profile here, landing at 29 versus 27. It is a real lead, but still close enough that category-level strengths matter more than the headline number.

o1-pro's sharpest advantage is in knowledge, where it averages 79 against 50.3. The single biggest benchmark swing on the page is GPQA, 50.3% to 79%.

o1-pro is also the more expensive model on tokens at $150.00 input / $600.00 output per 1M tokens, versus $0.10 input / $0.40 output per 1M tokens for GPT-4.1 nano. That is roughly 1500.0x on output cost alone. o1-pro is the reasoning model in the pair, while GPT-4.1 nano is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. GPT-4.1 nano gives you the larger context window at 1M, compared with 200K for o1-pro.