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 67. 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 46.6. The single biggest benchmark swing on the page is SWE-bench Verified, 75 to 43.
GLM-4.7 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. GLM-4.7 only becomes the better choice if you need the larger 200K context window.
GPT-5.2 Instant
79.6
GLM-4.7
66.1
GPT-5.2 Instant
75.5
GLM-4.7
46.6
GPT-5.2 Instant
93.1
GLM-4.7
70.5
GPT-5.2 Instant
90.9
GLM-4.7
80.2
GPT-5.2 Instant
79.8
GLM-4.7
61.8
GPT-5.2 Instant
95
GLM-4.7
85
GPT-5.2 Instant
94.4
GLM-4.7
79.1
GPT-5.2 Instant
97.2
GLM-4.7
85
GPT-5.2 Instant is ahead overall, 85 to 67. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 75 and 43.
GPT-5.2 Instant has the edge for knowledge tasks in this comparison, averaging 79.8 versus 61.8. 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 46.6. Inside this category, SWE-bench Verified 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 85. 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 80.2. 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 66.1. 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 70.5. 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 85. 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 79.1. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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