Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Gemini 3.1 Flash-Lite is clearly ahead on the aggregate, 53 to 38. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Gemini 3.1 Flash-Lite's sharpest advantage is in multimodal & grounded, where it averages 73.1 against 41.7. The single biggest benchmark swing on the page is MMMU-Pro, 74 to 39.
Gemini 3.1 Flash-Lite is also the more expensive model on tokens at $0.10 input / $0.40 output per 1M tokens, versus $0.03 input / $0.12 output per 1M tokens for LFM2-24B-A2B. That is roughly 3.3x on output cost alone. Gemini 3.1 Flash-Lite gives you the larger context window at 1M, compared with 32K for LFM2-24B-A2B.
Pick Gemini 3.1 Flash-Lite if you want the stronger benchmark profile. LFM2-24B-A2B only becomes the better choice if you want the cheaper token bill.
Gemini 3.1 Flash-Lite
49.2
LFM2-24B-A2B
33.4
Gemini 3.1 Flash-Lite
24.7
LFM2-24B-A2B
18
Gemini 3.1 Flash-Lite
73.1
LFM2-24B-A2B
41.7
Gemini 3.1 Flash-Lite
65.8
LFM2-24B-A2B
46.6
Gemini 3.1 Flash-Lite
45.3
LFM2-24B-A2B
35.6
Gemini 3.1 Flash-Lite
79
LFM2-24B-A2B
68
Gemini 3.1 Flash-Lite
69.8
LFM2-24B-A2B
61.4
Gemini 3.1 Flash-Lite
66.1
LFM2-24B-A2B
50.4
Gemini 3.1 Flash-Lite is ahead overall, 53 to 38. The biggest single separator in this matchup is MMMU-Pro, where the scores are 74 and 39.
Gemini 3.1 Flash-Lite has the edge for knowledge tasks in this comparison, averaging 45.3 versus 35.6. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Gemini 3.1 Flash-Lite has the edge for coding in this comparison, averaging 24.7 versus 18. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
Gemini 3.1 Flash-Lite has the edge for math in this comparison, averaging 66.1 versus 50.4. Inside this category, AIME 2023 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 46.6. 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 33.4. 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 41.7. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Gemini 3.1 Flash-Lite has the edge for instruction following in this comparison, averaging 79 versus 68. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Gemini 3.1 Flash-Lite has the edge for multilingual tasks in this comparison, averaging 69.8 versus 61.4. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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