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 65. 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 75.9. The single biggest benchmark swing on the page is AIME 2023, 90 to 72. Seed 1.6 does hit back in instruction following, so the answer changes if that is the part of the workload you care about most.
Seed 1.6 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 only becomes the better choice if instruction following is the priority or you need the larger 256K context window.
GPT-5 mini
65.7
Seed 1.6
62.3
GPT-5 mini
42.8
Seed 1.6
42.4
GPT-5 mini
83.8
Seed 1.6
79.6
GPT-5 mini
81.8
Seed 1.6
74.5
GPT-5 mini
62.8
Seed 1.6
56.4
GPT-5 mini
82
Seed 1.6
87
GPT-5 mini
80.1
Seed 1.6
83.4
GPT-5 mini
87.2
Seed 1.6
75.9
GPT-5 mini is ahead overall, 69 to 65. The biggest single separator in this matchup is AIME 2023, where the scores are 90 and 72.
GPT-5 mini has the edge for knowledge tasks in this comparison, averaging 62.8 versus 56.4. 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 42.4. 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 75.9. 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 74.5. 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 62.3. 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 79.6. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Seed 1.6 has the edge for instruction following in this comparison, averaging 87 versus 82. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Seed 1.6 has the edge for multilingual tasks in this comparison, averaging 83.4 versus 80.1. Inside this category, MGSM is the benchmark that creates the most daylight between them.
Get notified when new models drop, benchmark scores change, or the leaderboard shifts. One email per week.
Free. No spam. Unsubscribe anytime. We only store derived location metadata for consent routing.