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 30. 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 32.4. The single biggest benchmark swing on the page is HumanEval, 91 to 14.
Gemini 3 Pro Deep Think is the reasoning model in the pair, while LFM2.5-1.2B-Instruct 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 LFM2.5-1.2B-Instruct.
Pick Gemini 3 Pro Deep Think if you want the stronger benchmark profile. LFM2.5-1.2B-Instruct 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
LFM2.5-1.2B-Instruct
25.7
Gemini 3 Pro Deep Think
60.3
LFM2.5-1.2B-Instruct
7.2
Gemini 3 Pro Deep Think
95
LFM2.5-1.2B-Instruct
32.4
Gemini 3 Pro Deep Think
94.5
LFM2.5-1.2B-Instruct
32.1
Gemini 3 Pro Deep Think
74.7
LFM2.5-1.2B-Instruct
26
Gemini 3 Pro Deep Think
89
LFM2.5-1.2B-Instruct
80
Gemini 3 Pro Deep Think
87.4
LFM2.5-1.2B-Instruct
60.7
Gemini 3 Pro Deep Think
94.5
LFM2.5-1.2B-Instruct
37
Gemini 3 Pro Deep Think is ahead overall, 81 to 30. The biggest single separator in this matchup is HumanEval, where the scores are 91 and 14.
Gemini 3 Pro Deep Think has the edge for knowledge tasks in this comparison, averaging 74.7 versus 26. 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 7.2. 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 37. 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 32.1. 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 25.7. 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 32.4. 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 80. 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 60.7. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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