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 36. 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 15.2. The single biggest benchmark swing on the page is MMLU, 98 to 30.
GPT-5.2 Instant is also the more expensive model on tokens at $1.50 input / $6.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Ministral 3 8B (Reasoning). That is roughly Infinityx on output cost alone.
Pick GPT-5.2 Instant if you want the stronger benchmark profile. Ministral 3 8B (Reasoning) only becomes the better choice if you want the cheaper token bill.
GPT-5.2 Instant
79.6
Ministral 3 8B (Reasoning)
38.5
GPT-5.2 Instant
75.5
Ministral 3 8B (Reasoning)
15.2
GPT-5.2 Instant
93.1
Ministral 3 8B (Reasoning)
33.4
GPT-5.2 Instant
90.9
Ministral 3 8B (Reasoning)
42.1
GPT-5.2 Instant
79.8
Ministral 3 8B (Reasoning)
30
GPT-5.2 Instant
95
Ministral 3 8B (Reasoning)
70
GPT-5.2 Instant
94.4
Ministral 3 8B (Reasoning)
61.7
GPT-5.2 Instant
97.2
Ministral 3 8B (Reasoning)
47.8
GPT-5.2 Instant is ahead overall, 85 to 36. The biggest single separator in this matchup is MMLU, where the scores are 98 and 30.
GPT-5.2 Instant has the edge for knowledge tasks in this comparison, averaging 79.8 versus 30. Inside this category, MMLU 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 15.2. Inside this category, HumanEval 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 47.8. 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 42.1. 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 38.5. 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 33.4. 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 70. 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 61.7. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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