Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
GPT-4 Turbo has the cleaner overall profile here, landing at 53 versus 51. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
o1 is the reasoning model in the pair, while GPT-4 Turbo 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. o1 gives you the larger context window at 200K, compared with 128K for GPT-4 Turbo.
Pick GPT-4 Turbo if you want the stronger benchmark profile. o1 only becomes the better choice if knowledge is the priority or you need the larger 200K context window.
GPT-4 Turbo
47.7
o1
83.8
GPT-4 Turbo
26.7
o1
41
GPT-4 Turbo
60.5
o1
74.3
GPT-4 Turbo
80
o1
92.2
GPT-4 Turbo is ahead overall, 53 to 51. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 5 and 41.
o1 has the edge for knowledge tasks in this comparison, averaging 83.8 versus 47.7. Inside this category, MMLU is the benchmark that creates the most daylight between them.
o1 has the edge for coding in this comparison, averaging 41 versus 26.7. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
o1 has the edge for math in this comparison, averaging 74.3 versus 60.5. Inside this category, AIME 2024 is the benchmark that creates the most daylight between them.
o1 has the edge for instruction following in this comparison, averaging 92.2 versus 80. Inside this category, IFEval is the benchmark that creates the most daylight between them.
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