Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Mercury 2 is clearly ahead on the aggregate, 65 to 55. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Mercury 2's sharpest advantage is in reasoning, where it averages 80.1 against 63.6. The single biggest benchmark swing on the page is OSWorld-Verified, 62 to 44. Ministral 3 14B does hit back in multimodal & grounded, so the answer changes if that is the part of the workload you care about most.
Mercury 2 is also the more expensive model on tokens at $0.25 input / $0.75 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Ministral 3 14B. That is roughly Infinityx on output cost alone. Mercury 2 is the reasoning model in the pair, while Ministral 3 14B 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.
Pick Mercury 2 if you want the stronger benchmark profile. Ministral 3 14B only becomes the better choice if multimodal & grounded is the priority or you want the cheaper token bill.
Mercury 2
63.7
Ministral 3 14B
48.4
Mercury 2
41.1
Ministral 3 14B
33
Mercury 2
68.3
Ministral 3 14B
70.5
Mercury 2
80.1
Ministral 3 14B
63.6
Mercury 2
57.2
Ministral 3 14B
50.1
Mercury 2
84
Ministral 3 14B
80
Mercury 2
79.7
Ministral 3 14B
76.8
Mercury 2
80.9
Ministral 3 14B
69.7
Mercury 2 is ahead overall, 65 to 55. The biggest single separator in this matchup is OSWorld-Verified, where the scores are 62 and 44.
Mercury 2 has the edge for knowledge tasks in this comparison, averaging 57.2 versus 50.1. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Mercury 2 has the edge for coding in this comparison, averaging 41.1 versus 33. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
Mercury 2 has the edge for math in this comparison, averaging 80.9 versus 69.7. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Mercury 2 has the edge for reasoning in this comparison, averaging 80.1 versus 63.6. Inside this category, MuSR is the benchmark that creates the most daylight between them.
Mercury 2 has the edge for agentic tasks in this comparison, averaging 63.7 versus 48.4. Inside this category, OSWorld-Verified is the benchmark that creates the most daylight between them.
Ministral 3 14B has the edge for multimodal and grounded tasks in this comparison, averaging 70.5 versus 68.3. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Mercury 2 has the edge for instruction following in this comparison, averaging 84 versus 80. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Mercury 2 has the edge for multilingual tasks in this comparison, averaging 79.7 versus 76.8. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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