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 33. 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 17.
Gemini 3 Pro Deep Think gives you the larger context window at 2M, compared with 32K for LFM2.5-1.2B-Thinking.
Pick Gemini 3 Pro Deep Think if you want the stronger benchmark profile. LFM2.5-1.2B-Thinking only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Gemini 3 Pro Deep Think
78.1
LFM2.5-1.2B-Thinking
34.1
Gemini 3 Pro Deep Think
60.3
LFM2.5-1.2B-Thinking
8.2
Gemini 3 Pro Deep Think
95
LFM2.5-1.2B-Thinking
32.4
Gemini 3 Pro Deep Think
94.5
LFM2.5-1.2B-Thinking
38.4
Gemini 3 Pro Deep Think
74.7
LFM2.5-1.2B-Thinking
27
Gemini 3 Pro Deep Think
89
LFM2.5-1.2B-Thinking
72
Gemini 3 Pro Deep Think
87.4
LFM2.5-1.2B-Thinking
60.7
Gemini 3 Pro Deep Think
94.5
LFM2.5-1.2B-Thinking
42.3
Gemini 3 Pro Deep Think is ahead overall, 81 to 33. The biggest single separator in this matchup is HumanEval, where the scores are 91 and 17.
Gemini 3 Pro Deep Think has the edge for knowledge tasks in this comparison, averaging 74.7 versus 27. 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 8.2. 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 42.3. 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 38.4. 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 34.1. 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 72. 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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