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 62. 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 multimodal & grounded, where it averages 93.1 against 62.5. The single biggest benchmark swing on the page is MMMU-Pro, 94 to 58.
GLM-4.7-Flash 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-Flash only becomes the better choice if you need the larger 200K context window.
GPT-5.2 Instant
79.6
GLM-4.7-Flash
61.3
GPT-5.2 Instant
75.5
GLM-4.7-Flash
45.9
GPT-5.2 Instant
93.1
GLM-4.7-Flash
62.5
GPT-5.2 Instant
90.9
GLM-4.7-Flash
69.7
GPT-5.2 Instant
79.8
GLM-4.7-Flash
54.1
GPT-5.2 Instant
95
GLM-4.7-Flash
84
GPT-5.2 Instant
94.4
GLM-4.7-Flash
81.8
GPT-5.2 Instant
97.2
GLM-4.7-Flash
74
GPT-5.2 Instant is ahead overall, 85 to 62. The biggest single separator in this matchup is MMMU-Pro, where the scores are 94 and 58.
GPT-5.2 Instant has the edge for knowledge tasks in this comparison, averaging 79.8 versus 54.1. 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 45.9. 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 74. 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 69.7. 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 61.3. 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 62.5. 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 84. 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 81.8. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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