Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
GPT-5.3 Instant is clearly ahead on the aggregate, 87 to 68. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.3 Instant's sharpest advantage is in coding, where it averages 78.7 against 48.4. The single biggest benchmark swing on the page is SWE-bench Verified, 76 to 41.
o1 is also the more expensive model on tokens at $15.00 input / $60.00 output per 1M tokens, versus $1.75 input / $14.00 output per 1M tokens for GPT-5.3 Instant. That is roughly 4.3x on output cost alone. o1 gives you the larger context window at 200K, compared with 128K for GPT-5.3 Instant.
Pick GPT-5.3 Instant if you want the stronger benchmark profile. o1 only becomes the better choice if you need the larger 200K context window.
GPT-5.3 Instant
82.9
o1
65.4
GPT-5.3 Instant
78.7
o1
48.4
GPT-5.3 Instant
95
o1
70.7
GPT-5.3 Instant
94.2
o1
78.1
GPT-5.3 Instant
80.8
o1
69.6
GPT-5.3 Instant
96
o1
92.2
GPT-5.3 Instant
93.4
o1
77
GPT-5.3 Instant
97.2
o1
74.3
GPT-5.3 Instant is ahead overall, 87 to 68. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 76 and 41.
GPT-5.3 Instant has the edge for knowledge tasks in this comparison, averaging 80.8 versus 69.6. Inside this category, FrontierScience is the benchmark that creates the most daylight between them.
GPT-5.3 Instant has the edge for coding in this comparison, averaging 78.7 versus 48.4. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
GPT-5.3 Instant has the edge for math in this comparison, averaging 97.2 versus 74.3. Inside this category, AIME 2024 is the benchmark that creates the most daylight between them.
GPT-5.3 Instant has the edge for reasoning in this comparison, averaging 94.2 versus 78.1. Inside this category, MRCRv2 is the benchmark that creates the most daylight between them.
GPT-5.3 Instant has the edge for agentic tasks in this comparison, averaging 82.9 versus 65.4. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
GPT-5.3 Instant has the edge for multimodal and grounded tasks in this comparison, averaging 95 versus 70.7. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
GPT-5.3 Instant has the edge for instruction following in this comparison, averaging 96 versus 92.2. Inside this category, IFEval is the benchmark that creates the most daylight between them.
GPT-5.3 Instant has the edge for multilingual tasks in this comparison, averaging 93.4 versus 77. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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