Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Claude 3.5 Sonnet and Ministral 3 14B (Reasoning) finish on the same overall score, so this is less about a single winner and more about where the edge shows up. The headline says tie; the benchmark table is where the real choice happens.
Ministral 3 14B (Reasoning) is the reasoning model in the pair, while Claude 3.5 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 3.5 Sonnet gives you the larger context window at 200K, compared with 128K for Ministral 3 14B (Reasoning).
Treat this as a split decision. Claude 3.5 Sonnet makes more sense if multimodal & grounded is the priority or you need the larger 200K context window; Ministral 3 14B (Reasoning) is the better fit if mathematics is the priority or you want the stronger reasoning-first profile.
Claude 3.5 Sonnet
55
Ministral 3 14B (Reasoning)
58.5
Claude 3.5 Sonnet
37.8
Ministral 3 14B (Reasoning)
35
Claude 3.5 Sonnet
74.8
Ministral 3 14B (Reasoning)
71.5
Claude 3.5 Sonnet
67.7
Ministral 3 14B (Reasoning)
69.2
Claude 3.5 Sonnet
50.8
Ministral 3 14B (Reasoning)
52.1
Claude 3.5 Sonnet
83
Ministral 3 14B (Reasoning)
81
Claude 3.5 Sonnet
80.5
Ministral 3 14B (Reasoning)
77.8
Claude 3.5 Sonnet
71.2
Ministral 3 14B (Reasoning)
75.2
Claude 3.5 Sonnet and Ministral 3 14B (Reasoning) are tied on overall score, so the right pick depends on which category matters most for your use case.
Ministral 3 14B (Reasoning) has the edge for knowledge tasks in this comparison, averaging 52.1 versus 50.8. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Claude 3.5 Sonnet has the edge for coding in this comparison, averaging 37.8 versus 35. Inside this category, LiveCodeBench is the benchmark that creates the most daylight between them.
Ministral 3 14B (Reasoning) has the edge for math in this comparison, averaging 75.2 versus 71.2. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Ministral 3 14B (Reasoning) has the edge for reasoning in this comparison, averaging 69.2 versus 67.7. Inside this category, MuSR 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 55. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Claude 3.5 Sonnet has the edge for multimodal and grounded tasks in this comparison, averaging 74.8 versus 71.5. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Claude 3.5 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 3.5 Sonnet has the edge for multilingual tasks in this comparison, averaging 80.5 versus 77.8. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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