Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
GPT-5 nano and o1-pro finish on the same overall score, so this is less about a single winner and more about where the edge shows up. The headline says tie; the benchmark table is where the real choice happens.
o1-pro is also the more expensive model on tokens at $150.00 input / $600.00 output per 1M tokens, versus $0.05 input / $0.40 output per 1M tokens for GPT-5 nano. That is roughly 1500.0x on output cost alone. GPT-5 nano gives you the larger context window at 400K, compared with 200K for o1-pro.
Treat this as a split decision. GPT-5 nano makes more sense if multimodal & grounded is the priority or you want the cheaper token bill; o1-pro is the better fit if knowledge is the priority.
GPT-5 nano
37.7
o1-pro
39.7
GPT-5 nano
22
o1-pro
23
GPT-5 nano
56.7
o1-pro
48.5
GPT-5 nano
58.8
o1-pro
56.2
GPT-5 nano
63.7
o1-pro
69.9
Benchmark data for this category is coming soon.
GPT-5 nano
48
o1-pro
52
GPT-5 nano
85.2
o1-pro
86
GPT-5 nano and o1-pro are tied on overall score, so the right pick depends on which category matters most for your use case.
o1-pro has the edge for knowledge tasks in this comparison, averaging 69.9 versus 63.7. Inside this category, GPQA is the benchmark that creates the most daylight between them.
o1-pro has the edge for coding in this comparison, averaging 23 versus 22. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
o1-pro has the edge for math in this comparison, averaging 86 versus 85.2. GPT-5 nano stays close enough that the answer can still flip depending on your workload.
GPT-5 nano has the edge for reasoning in this comparison, averaging 58.8 versus 56.2. Inside this category, LongBench v2 is the benchmark that creates the most daylight between them.
o1-pro has the edge for agentic tasks in this comparison, averaging 39.7 versus 37.7. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
GPT-5 nano has the edge for multimodal and grounded tasks in this comparison, averaging 56.7 versus 48.5. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
o1-pro has the edge for multilingual tasks in this comparison, averaging 52 versus 48. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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