Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
GPT-5 mini is clearly ahead on the aggregate, 69 to 56. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5 mini's sharpest advantage is in mathematics, where it averages 87.2 against 67.1. The single biggest benchmark swing on the page is AIME 2023, 90 to 64.
Seed 1.6 Flash gives you the larger context window at 256K, compared with 128K for GPT-5 mini.
Pick GPT-5 mini 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 mini
65.7
Seed 1.6 Flash
54.5
GPT-5 mini
42.8
Seed 1.6 Flash
27.6
GPT-5 mini
83.8
Seed 1.6 Flash
73.1
GPT-5 mini
81.8
Seed 1.6 Flash
66.8
GPT-5 mini
62.8
Seed 1.6 Flash
47.3
GPT-5 mini
82
Seed 1.6 Flash
81
GPT-5 mini
80.1
Seed 1.6 Flash
72.8
GPT-5 mini
87.2
Seed 1.6 Flash
67.1
GPT-5 mini is ahead overall, 69 to 56. The biggest single separator in this matchup is AIME 2023, where the scores are 90 and 64.
GPT-5 mini has the edge for knowledge tasks in this comparison, averaging 62.8 versus 47.3. Inside this category, MMLU is the benchmark that creates the most daylight between them.
GPT-5 mini has the edge for coding in this comparison, averaging 42.8 versus 27.6. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
GPT-5 mini has the edge for math in this comparison, averaging 87.2 versus 67.1. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
GPT-5 mini has the edge for reasoning in this comparison, averaging 81.8 versus 66.8. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
GPT-5 mini has the edge for agentic tasks in this comparison, averaging 65.7 versus 54.5. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
GPT-5 mini has the edge for multimodal and grounded tasks in this comparison, averaging 83.8 versus 73.1. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
GPT-5 mini has the edge for instruction following in this comparison, averaging 82 versus 81. Inside this category, IFEval is the benchmark that creates the most daylight between them.
GPT-5 mini has the edge for multilingual tasks in this comparison, averaging 80.1 versus 72.8. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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