Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
GPT-5 (high) is clearly ahead on the aggregate, 79 to 56. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5 (high)'s sharpest advantage is in coding, where it averages 66.1 against 27.6. The single biggest benchmark swing on the page is SWE-bench Verified, 67 to 24.
Seed 1.6 Flash gives you the larger context window at 256K, compared with 128K for GPT-5 (high).
Pick GPT-5 (high) if you want the stronger benchmark profile. Seed 1.6 Flash only becomes the better choice if you need the larger 256K context window.
GPT-5 (high)
75.2
Seed 1.6 Flash
54.5
GPT-5 (high)
66.1
Seed 1.6 Flash
27.6
GPT-5 (high)
89.4
Seed 1.6 Flash
73.1
GPT-5 (high)
85.7
Seed 1.6 Flash
66.8
GPT-5 (high)
71.1
Seed 1.6 Flash
47.3
GPT-5 (high)
91
Seed 1.6 Flash
81
GPT-5 (high)
86.4
Seed 1.6 Flash
72.8
GPT-5 (high)
94
Seed 1.6 Flash
67.1
GPT-5 (high) is ahead overall, 79 to 56. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 67 and 24.
GPT-5 (high) has the edge for knowledge tasks in this comparison, averaging 71.1 versus 47.3. Inside this category, MMLU is the benchmark that creates the most daylight between them.
GPT-5 (high) has the edge for coding in this comparison, averaging 66.1 versus 27.6. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
GPT-5 (high) has the edge for math in this comparison, averaging 94 versus 67.1. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
GPT-5 (high) has the edge for reasoning in this comparison, averaging 85.7 versus 66.8. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
GPT-5 (high) has the edge for agentic tasks in this comparison, averaging 75.2 versus 54.5. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
GPT-5 (high) has the edge for multimodal and grounded tasks in this comparison, averaging 89.4 versus 73.1. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
GPT-5 (high) has the edge for instruction following in this comparison, averaging 91 versus 81. Inside this category, IFEval is the benchmark that creates the most daylight between them.
GPT-5 (high) has the edge for multilingual tasks in this comparison, averaging 86.4 versus 72.8. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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