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 44. 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 21.8. The single biggest benchmark swing on the page is AIME 2023, 99 to 38.
Claude 4.1 Opus Thinking 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. Claude 4.1 Opus Thinking only becomes the better choice if you need the larger 200K context window.
GPT-5.2 Instant
79.6
Claude 4.1 Opus Thinking
46.7
GPT-5.2 Instant
75.5
Claude 4.1 Opus Thinking
21.8
GPT-5.2 Instant
93.1
Claude 4.1 Opus Thinking
59.3
GPT-5.2 Instant
90.9
Claude 4.1 Opus Thinking
49.4
GPT-5.2 Instant
79.8
Claude 4.1 Opus Thinking
34.3
GPT-5.2 Instant
95
Claude 4.1 Opus Thinking
66
GPT-5.2 Instant
94.4
Claude 4.1 Opus Thinking
58.7
GPT-5.2 Instant
97.2
Claude 4.1 Opus Thinking
48.3
GPT-5.2 Instant is ahead overall, 85 to 44. The biggest single separator in this matchup is AIME 2023, where the scores are 99 and 38.
GPT-5.2 Instant has the edge for knowledge tasks in this comparison, averaging 79.8 versus 34.3. Inside this category, MMLU 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 21.8. 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 48.3. 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 49.4. 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 46.7. 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 59.3. Inside this category, OfficeQA 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 66. 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 58.7. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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