Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Claude 4 Sonnet is clearly ahead on the aggregate, 64 to 60. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude 4 Sonnet's sharpest advantage is in multimodal & grounded, where it averages 79.7 against 71.5. The single biggest benchmark swing on the page is SWE-bench Verified, 51 to 39. Ministral 3 14B (Reasoning) does hit back in agentic, so the answer changes if that is the part of the workload you care about most.
Ministral 3 14B (Reasoning) is the reasoning model in the pair, while Claude 4 Sonnet 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 4 Sonnet gives you the larger context window at 200K, compared with 128K for Ministral 3 14B (Reasoning).
Pick Claude 4 Sonnet if you want the stronger benchmark profile. Ministral 3 14B (Reasoning) only becomes the better choice if agentic is the priority or you want the stronger reasoning-first profile.
Claude 4 Sonnet
57.9
Ministral 3 14B (Reasoning)
58.5
Claude 4 Sonnet
42.9
Ministral 3 14B (Reasoning)
35
Claude 4 Sonnet
79.7
Ministral 3 14B (Reasoning)
71.5
Claude 4 Sonnet
71.8
Ministral 3 14B (Reasoning)
69.2
Claude 4 Sonnet
56.8
Ministral 3 14B (Reasoning)
52.1
Claude 4 Sonnet
83
Ministral 3 14B (Reasoning)
81
Claude 4 Sonnet
82.1
Ministral 3 14B (Reasoning)
77.8
Claude 4 Sonnet
76.1
Ministral 3 14B (Reasoning)
75.2
Claude 4 Sonnet is ahead overall, 64 to 60. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 51 and 39.
Claude 4 Sonnet has the edge for knowledge tasks in this comparison, averaging 56.8 versus 52.1. Inside this category, MMLU-Pro is the benchmark that creates the most daylight between them.
Claude 4 Sonnet has the edge for coding in this comparison, averaging 42.9 versus 35. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
Claude 4 Sonnet has the edge for math in this comparison, averaging 76.1 versus 75.2. Inside this category, MATH-500 is the benchmark that creates the most daylight between them.
Claude 4 Sonnet has the edge for reasoning in this comparison, averaging 71.8 versus 69.2. Inside this category, MRCRv2 is the benchmark that creates the most daylight between them.
Ministral 3 14B (Reasoning) has the edge for agentic tasks in this comparison, averaging 58.5 versus 57.9. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Claude 4 Sonnet has the edge for multimodal and grounded tasks in this comparison, averaging 79.7 versus 71.5. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Claude 4 Sonnet has the edge for instruction following in this comparison, averaging 83 versus 81. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Claude 4 Sonnet has the edge for multilingual tasks in this comparison, averaging 82.1 versus 77.8. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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