Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
GPT-5.1 is clearly ahead on the aggregate, 80 to 36. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.1's sharpest advantage is in multimodal & grounded, where it averages 91.8 against 33.4. The single biggest benchmark swing on the page is MMLU, 97 to 30.
GPT-5.1 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. GPT-5.1 gives you the larger context window at 200K, compared with 128K for Ministral 3 8B (Reasoning).
Pick GPT-5.1 if you want the stronger benchmark profile. Ministral 3 8B (Reasoning) only becomes the better choice if you want the cheaper token bill.
GPT-5.1
75.8
Ministral 3 8B (Reasoning)
38.5
GPT-5.1
66.2
Ministral 3 8B (Reasoning)
15.2
GPT-5.1
91.8
Ministral 3 8B (Reasoning)
33.4
GPT-5.1
88.4
Ministral 3 8B (Reasoning)
42.1
GPT-5.1
72.5
Ministral 3 8B (Reasoning)
30
GPT-5.1
89
Ministral 3 8B (Reasoning)
70
GPT-5.1
87.7
Ministral 3 8B (Reasoning)
61.7
GPT-5.1
95.4
Ministral 3 8B (Reasoning)
47.8
GPT-5.1 is ahead overall, 80 to 36. The biggest single separator in this matchup is MMLU, where the scores are 97 and 30.
GPT-5.1 has the edge for knowledge tasks in this comparison, averaging 72.5 versus 30. Inside this category, MMLU is the benchmark that creates the most daylight between them.
GPT-5.1 has the edge for coding in this comparison, averaging 66.2 versus 15.2. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
GPT-5.1 has the edge for math in this comparison, averaging 95.4 versus 47.8. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
GPT-5.1 has the edge for reasoning in this comparison, averaging 88.4 versus 42.1. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
GPT-5.1 has the edge for agentic tasks in this comparison, averaging 75.8 versus 38.5. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
GPT-5.1 has the edge for multimodal and grounded tasks in this comparison, averaging 91.8 versus 33.4. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
GPT-5.1 has the edge for instruction following in this comparison, averaging 89 versus 70. Inside this category, IFEval is the benchmark that creates the most daylight between them.
GPT-5.1 has the edge for multilingual tasks in this comparison, averaging 87.7 versus 61.7. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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