Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
GPT-5.2 Instant is clearly ahead on the aggregate, 85 to 71. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.2 Instant's sharpest advantage is in coding, where it averages 75.5 against 49.2. The single biggest benchmark swing on the page is LiveCodeBench, 74 to 44.
o3-pro gives you the larger context window at 200K, compared with 128K for GPT-5.2 Instant.
Pick GPT-5.2 Instant if you want the stronger benchmark profile. o3-pro only becomes the better choice if you need the larger 200K context window.
GPT-5.2 Instant
79.6
o3-pro
70.4
GPT-5.2 Instant
75.5
o3-pro
49.2
GPT-5.2 Instant
93.1
o3-pro
74.1
GPT-5.2 Instant
90.9
o3-pro
83.6
GPT-5.2 Instant
79.8
o3-pro
67.1
GPT-5.2 Instant
95
o3-pro
82
GPT-5.2 Instant
94.4
o3-pro
81.1
GPT-5.2 Instant
97.2
o3-pro
89
GPT-5.2 Instant is ahead overall, 85 to 71. The biggest single separator in this matchup is LiveCodeBench, where the scores are 74 and 44.
GPT-5.2 Instant has the edge for knowledge tasks in this comparison, averaging 79.8 versus 67.1. Inside this category, HLE is the benchmark that creates the most daylight between them.
GPT-5.2 Instant has the edge for coding in this comparison, averaging 75.5 versus 49.2. Inside this category, LiveCodeBench is the benchmark that creates the most daylight between them.
GPT-5.2 Instant has the edge for math in this comparison, averaging 97.2 versus 89. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
GPT-5.2 Instant has the edge for reasoning in this comparison, averaging 90.9 versus 83.6. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
GPT-5.2 Instant has the edge for agentic tasks in this comparison, averaging 79.6 versus 70.4. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
GPT-5.2 Instant has the edge for multimodal and grounded tasks in this comparison, averaging 93.1 versus 74.1. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
GPT-5.2 Instant has the edge for instruction following in this comparison, averaging 95 versus 82. Inside this category, IFEval is the benchmark that creates the most daylight between them.
GPT-5.2 Instant has the edge for multilingual tasks in this comparison, averaging 94.4 versus 81.1. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
Get notified when new models drop, benchmark scores change, or the leaderboard shifts. One email per week.
Free. No spam. Unsubscribe anytime. We only store derived location metadata for consent routing.