Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Claude Opus 4.6 is clearly ahead on the aggregate, 85 to 31. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude Opus 4.6's sharpest advantage is in coding, where it averages 75.1 against 7.2. The single biggest benchmark swing on the page is HumanEval, 91 to 16.
Claude Opus 4.6 is also the more expensive model on tokens at $15.00 input / $75.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Ministral 3 3B (Reasoning). That is roughly Infinityx on output cost alone. Ministral 3 3B (Reasoning) is the reasoning model in the pair, while Claude Opus 4.6 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. Claude Opus 4.6 gives you the larger context window at 1M, compared with 128K for Ministral 3 3B (Reasoning).
Pick Claude Opus 4.6 if you want the stronger benchmark profile. Ministral 3 3B (Reasoning) only becomes the better choice if you want the cheaper token bill or you want the stronger reasoning-first profile.
Claude Opus 4.6
79.2
Ministral 3 3B (Reasoning)
34
Claude Opus 4.6
75.1
Ministral 3 3B (Reasoning)
7.2
Claude Opus 4.6
94.6
Ministral 3 3B (Reasoning)
30.4
Claude Opus 4.6
93.1
Ministral 3 3B (Reasoning)
35.3
Claude Opus 4.6
78.9
Ministral 3 3B (Reasoning)
25.2
Claude Opus 4.6
95
Ministral 3 3B (Reasoning)
68
Claude Opus 4.6
94.7
Ministral 3 3B (Reasoning)
59.7
Claude Opus 4.6
97.2
Ministral 3 3B (Reasoning)
40.9
Claude Opus 4.6 is ahead overall, 85 to 31. The biggest single separator in this matchup is HumanEval, where the scores are 91 and 16.
Claude Opus 4.6 has the edge for knowledge tasks in this comparison, averaging 78.9 versus 25.2. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Claude Opus 4.6 has the edge for coding in this comparison, averaging 75.1 versus 7.2. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
Claude Opus 4.6 has the edge for math in this comparison, averaging 97.2 versus 40.9. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Claude Opus 4.6 has the edge for reasoning in this comparison, averaging 93.1 versus 35.3. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
Claude Opus 4.6 has the edge for agentic tasks in this comparison, averaging 79.2 versus 34. Inside this category, BrowseComp is the benchmark that creates the most daylight between them.
Claude Opus 4.6 has the edge for multimodal and grounded tasks in this comparison, averaging 94.6 versus 30.4. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Claude Opus 4.6 has the edge for instruction following in this comparison, averaging 95 versus 68. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Claude Opus 4.6 has the edge for multilingual tasks in this comparison, averaging 94.7 versus 59.7. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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