Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Seed 1.6 Flash finishes one point ahead overall, 56 to 55. That is enough to call, but not enough to treat as a blowout. This matchup comes down to a few meaningful edges rather than one model dominating the board.
Seed 1.6 Flash's sharpest advantage is in agentic, where it averages 54.5 against 48.4. The single biggest benchmark swing on the page is MRCRv2, 74 to 60. Ministral 3 14B does hit back in coding, so the answer changes if that is the part of the workload you care about most.
Seed 1.6 Flash is also the more expensive model on tokens at $0.08 input / $0.30 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. Seed 1.6 Flash 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. Seed 1.6 Flash gives you the larger context window at 256K, compared with 128K for Ministral 3 14B.
Pick Seed 1.6 Flash if you want the stronger benchmark profile. Ministral 3 14B only becomes the better choice if coding is the priority or you want the cheaper token bill.
Seed 1.6 Flash
54.5
Ministral 3 14B
48.4
Seed 1.6 Flash
27.6
Ministral 3 14B
33
Seed 1.6 Flash
73.1
Ministral 3 14B
70.5
Seed 1.6 Flash
66.8
Ministral 3 14B
63.6
Seed 1.6 Flash
47.3
Ministral 3 14B
50.1
Seed 1.6 Flash
81
Ministral 3 14B
80
Seed 1.6 Flash
72.8
Ministral 3 14B
76.8
Seed 1.6 Flash
67.1
Ministral 3 14B
69.7
Seed 1.6 Flash is ahead overall, 56 to 55. The biggest single separator in this matchup is MRCRv2, where the scores are 74 and 60.
Ministral 3 14B has the edge for knowledge tasks in this comparison, averaging 50.1 versus 47.3. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Ministral 3 14B has the edge for coding in this comparison, averaging 33 versus 27.6. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
Ministral 3 14B has the edge for math in this comparison, averaging 69.7 versus 67.1. Inside this category, AIME 2025 is the benchmark that creates the most daylight between them.
Seed 1.6 Flash has the edge for reasoning in this comparison, averaging 66.8 versus 63.6. Inside this category, MRCRv2 is the benchmark that creates the most daylight between them.
Seed 1.6 Flash has the edge for agentic tasks in this comparison, averaging 54.5 versus 48.4. Inside this category, OSWorld-Verified is the benchmark that creates the most daylight between them.
Seed 1.6 Flash has the edge for multimodal and grounded tasks in this comparison, averaging 73.1 versus 70.5. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Seed 1.6 Flash has the edge for instruction following in this comparison, averaging 81 versus 80. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Ministral 3 14B has the edge for multilingual tasks in this comparison, averaging 76.8 versus 72.8. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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