Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
GPT-5 (medium) is clearly ahead on the aggregate, 78 to 65. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5 (medium)'s sharpest advantage is in coding, where it averages 66.1 against 42.4. The single biggest benchmark swing on the page is SWE-bench Pro, 72 to 46.
Seed 1.6 gives you the larger context window at 256K, compared with 128K for GPT-5 (medium).
Pick GPT-5 (medium) if you want the stronger benchmark profile. Seed 1.6 only becomes the better choice if you need the larger 256K context window.
GPT-5 (medium)
75.5
Seed 1.6
62.3
GPT-5 (medium)
66.1
Seed 1.6
42.4
GPT-5 (medium)
88.1
Seed 1.6
79.6
GPT-5 (medium)
84.3
Seed 1.6
74.5
GPT-5 (medium)
69.8
Seed 1.6
56.4
GPT-5 (medium)
88
Seed 1.6
87
GPT-5 (medium)
88.1
Seed 1.6
83.4
GPT-5 (medium)
92
Seed 1.6
75.9
GPT-5 (medium) is ahead overall, 78 to 65. The biggest single separator in this matchup is SWE-bench Pro, where the scores are 72 and 46.
GPT-5 (medium) has the edge for knowledge tasks in this comparison, averaging 69.8 versus 56.4. Inside this category, MMLU is the benchmark that creates the most daylight between them.
GPT-5 (medium) has the edge for coding in this comparison, averaging 66.1 versus 42.4. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
GPT-5 (medium) has the edge for math in this comparison, averaging 92 versus 75.9. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
GPT-5 (medium) has the edge for reasoning in this comparison, averaging 84.3 versus 74.5. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
GPT-5 (medium) has the edge for agentic tasks in this comparison, averaging 75.5 versus 62.3. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
GPT-5 (medium) has the edge for multimodal and grounded tasks in this comparison, averaging 88.1 versus 79.6. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
GPT-5 (medium) has the edge for instruction following in this comparison, averaging 88 versus 87. Inside this category, IFEval is the benchmark that creates the most daylight between them.
GPT-5 (medium) has the edge for multilingual tasks in this comparison, averaging 88.1 versus 83.4. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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