Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Ministral 3 14B has the cleaner overall profile here, landing at 55 versus 53. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
Ministral 3 14B's sharpest advantage is in coding, where it averages 33 against 24.7. The single biggest benchmark swing on the page is SWE-bench Verified, 37 to 22. Gemini 3.1 Flash-Lite does hit back in multimodal & grounded, so the answer changes if that is the part of the workload you care about most.
Gemini 3.1 Flash-Lite is also the more expensive model on tokens at $0.10 input / $0.40 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. Gemini 3.1 Flash-Lite gives you the larger context window at 1M, compared with 128K for Ministral 3 14B.
Pick Ministral 3 14B if you want the stronger benchmark profile. Gemini 3.1 Flash-Lite only becomes the better choice if multimodal & grounded is the priority or you need the larger 1M context window.
Ministral 3 14B
48.4
Gemini 3.1 Flash-Lite
49.2
Ministral 3 14B
33
Gemini 3.1 Flash-Lite
24.7
Ministral 3 14B
70.5
Gemini 3.1 Flash-Lite
73.1
Ministral 3 14B
63.6
Gemini 3.1 Flash-Lite
65.8
Ministral 3 14B
50.1
Gemini 3.1 Flash-Lite
45.3
Ministral 3 14B
80
Gemini 3.1 Flash-Lite
79
Ministral 3 14B
76.8
Gemini 3.1 Flash-Lite
69.8
Ministral 3 14B
69.7
Gemini 3.1 Flash-Lite
66.1
Ministral 3 14B is ahead overall, 55 to 53. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 37 and 22.
Ministral 3 14B has the edge for knowledge tasks in this comparison, averaging 50.1 versus 45.3. 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 24.7. 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 66.1. Inside this category, AIME 2025 is the benchmark that creates the most daylight between them.
Gemini 3.1 Flash-Lite has the edge for reasoning in this comparison, averaging 65.8 versus 63.6. Inside this category, MRCRv2 is the benchmark that creates the most daylight between them.
Gemini 3.1 Flash-Lite has the edge for agentic tasks in this comparison, averaging 49.2 versus 48.4. Inside this category, BrowseComp is the benchmark that creates the most daylight between them.
Gemini 3.1 Flash-Lite 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.
Ministral 3 14B has the edge for instruction following in this comparison, averaging 80 versus 79. 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 69.8. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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