Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Gemini 3 Pro is clearly ahead on the aggregate, 77 to 33. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Gemini 3 Pro's sharpest advantage is in multimodal & grounded, where it averages 93.1 against 32.4. The single biggest benchmark swing on the page is HumanEval, 91 to 17.
LFM2.5-1.2B-Thinking is the reasoning model in the pair, while Gemini 3 Pro 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 gives you the larger context window at 2M, compared with 32K for LFM2.5-1.2B-Thinking.
Pick Gemini 3 Pro if you want the stronger benchmark profile. LFM2.5-1.2B-Thinking only becomes the better choice if you want the stronger reasoning-first profile.
Gemini 3 Pro
71.1
LFM2.5-1.2B-Thinking
34.1
Gemini 3 Pro
54.1
LFM2.5-1.2B-Thinking
8.2
Gemini 3 Pro
93.1
LFM2.5-1.2B-Thinking
32.4
Gemini 3 Pro
91.2
LFM2.5-1.2B-Thinking
38.4
Gemini 3 Pro
71.8
LFM2.5-1.2B-Thinking
27
Gemini 3 Pro
88
LFM2.5-1.2B-Thinking
72
Gemini 3 Pro
86.4
LFM2.5-1.2B-Thinking
60.7
Gemini 3 Pro
94.1
LFM2.5-1.2B-Thinking
42.3
Gemini 3 Pro is ahead overall, 77 to 33. The biggest single separator in this matchup is HumanEval, where the scores are 91 and 17.
Gemini 3 Pro has the edge for knowledge tasks in this comparison, averaging 71.8 versus 27. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Gemini 3 Pro has the edge for coding in this comparison, averaging 54.1 versus 8.2. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
Gemini 3 Pro has the edge for math in this comparison, averaging 94.1 versus 42.3. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Gemini 3 Pro has the edge for reasoning in this comparison, averaging 91.2 versus 38.4. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
Gemini 3 Pro has the edge for agentic tasks in this comparison, averaging 71.1 versus 34.1. Inside this category, BrowseComp is the benchmark that creates the most daylight between them.
Gemini 3 Pro has the edge for multimodal and grounded tasks in this comparison, averaging 93.1 versus 32.4. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Gemini 3 Pro has the edge for instruction following in this comparison, averaging 88 versus 72. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Gemini 3 Pro has the edge for multilingual tasks in this comparison, averaging 86.4 versus 60.7. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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