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 53. 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 coding, where it averages 75.5 against 24.7. The single biggest benchmark swing on the page is SWE-bench Verified, 75 to 22.
GPT-5.2 Instant is also the more expensive model on tokens at $1.50 input / $6.00 output per 1M tokens, versus $0.10 input / $0.40 output per 1M tokens for Seed-2.0-Mini. That is roughly 15.0x on output cost alone. GPT-5.2 Instant is the reasoning model in the pair, while Seed-2.0-Mini is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. Seed-2.0-Mini gives you the larger context window at 256K, compared with 128K for GPT-5.2 Instant.
Pick GPT-5.2 Instant if you want the stronger benchmark profile. Seed-2.0-Mini only becomes the better choice if you want the cheaper token bill or you need the larger 256K context window.
GPT-5.2 Instant
79.6
Seed-2.0-Mini
46.2
GPT-5.2 Instant
75.5
Seed-2.0-Mini
24.7
GPT-5.2 Instant
93.1
Seed-2.0-Mini
73.1
GPT-5.2 Instant
90.9
Seed-2.0-Mini
64.8
GPT-5.2 Instant
79.8
Seed-2.0-Mini
44.6
GPT-5.2 Instant
95
Seed-2.0-Mini
80
GPT-5.2 Instant
94.4
Seed-2.0-Mini
71.8
GPT-5.2 Instant
97.2
Seed-2.0-Mini
65.1
GPT-5.2 Instant is ahead overall, 85 to 53. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 75 and 22.
GPT-5.2 Instant has the edge for knowledge tasks in this comparison, averaging 79.8 versus 44.6. Inside this category, HLE 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 24.7. 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 65.1. 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 64.8. 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 46.2. 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 73.1. 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 80. 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 71.8. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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