Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Gemini 3 Pro Deep Think is clearly ahead on the aggregate, 81 to 38. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Gemini 3 Pro Deep Think's sharpest advantage is in multimodal & grounded, where it averages 95 against 41.7. The single biggest benchmark swing on the page is MMMU-Pro, 95 to 39.
Gemini 3 Pro Deep Think is the reasoning model in the pair, while LFM2-24B-A2B 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. Gemini 3 Pro Deep Think gives you the larger context window at 2M, compared with 32K for LFM2-24B-A2B.
Pick Gemini 3 Pro Deep Think if you want the stronger benchmark profile. LFM2-24B-A2B only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
Gemini 3 Pro Deep Think
78.1
LFM2-24B-A2B
33.4
Gemini 3 Pro Deep Think
60.3
LFM2-24B-A2B
18
Gemini 3 Pro Deep Think
95
LFM2-24B-A2B
41.7
Gemini 3 Pro Deep Think
94.5
LFM2-24B-A2B
46.6
Gemini 3 Pro Deep Think
74.7
LFM2-24B-A2B
35.6
Gemini 3 Pro Deep Think
89
LFM2-24B-A2B
68
Gemini 3 Pro Deep Think
87.4
LFM2-24B-A2B
61.4
Gemini 3 Pro Deep Think
94.5
LFM2-24B-A2B
50.4
Gemini 3 Pro Deep Think is ahead overall, 81 to 38. The biggest single separator in this matchup is MMMU-Pro, where the scores are 95 and 39.
Gemini 3 Pro Deep Think has the edge for knowledge tasks in this comparison, averaging 74.7 versus 35.6. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Gemini 3 Pro Deep Think has the edge for coding in this comparison, averaging 60.3 versus 18. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
Gemini 3 Pro Deep Think has the edge for math in this comparison, averaging 94.5 versus 50.4. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Gemini 3 Pro Deep Think has the edge for reasoning in this comparison, averaging 94.5 versus 46.6. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
Gemini 3 Pro Deep Think has the edge for agentic tasks in this comparison, averaging 78.1 versus 33.4. Inside this category, BrowseComp is the benchmark that creates the most daylight between them.
Gemini 3 Pro Deep Think has the edge for multimodal and grounded tasks in this comparison, averaging 95 versus 41.7. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Gemini 3 Pro Deep Think has the edge for instruction following in this comparison, averaging 89 versus 68. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Gemini 3 Pro Deep Think has the edge for multilingual tasks in this comparison, averaging 87.4 versus 61.4. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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