Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Gemini 1.5 Pro is clearly ahead on the aggregate, 52 to 30. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Gemini 1.5 Pro's sharpest advantage is in multimodal & grounded, where it averages 74.1 against 32.4. The single biggest benchmark swing on the page is MMMU-Pro, 75 to 27. LFM2.5-1.2B-Instruct does hit back in instruction following, so the answer changes if that is the part of the workload you care about most.
Gemini 1.5 Pro gives you the larger context window at 2M, compared with 32K for LFM2.5-1.2B-Instruct.
Pick Gemini 1.5 Pro if you want the stronger benchmark profile. LFM2.5-1.2B-Instruct only becomes the better choice if instruction following is the priority.
Gemini 1.5 Pro
49.8
LFM2.5-1.2B-Instruct
25.7
Gemini 1.5 Pro
18.5
LFM2.5-1.2B-Instruct
7.2
Gemini 1.5 Pro
74.1
LFM2.5-1.2B-Instruct
32.4
Gemini 1.5 Pro
66.9
LFM2.5-1.2B-Instruct
32.1
Gemini 1.5 Pro
44.2
LFM2.5-1.2B-Instruct
26
Gemini 1.5 Pro
77
LFM2.5-1.2B-Instruct
80
Gemini 1.5 Pro
69.5
LFM2.5-1.2B-Instruct
60.7
Gemini 1.5 Pro
67.5
LFM2.5-1.2B-Instruct
37
Gemini 1.5 Pro is ahead overall, 52 to 30. The biggest single separator in this matchup is MMMU-Pro, where the scores are 75 and 27.
Gemini 1.5 Pro has the edge for knowledge tasks in this comparison, averaging 44.2 versus 26. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Gemini 1.5 Pro has the edge for coding in this comparison, averaging 18.5 versus 7.2. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
Gemini 1.5 Pro has the edge for math in this comparison, averaging 67.5 versus 37. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Gemini 1.5 Pro has the edge for reasoning in this comparison, averaging 66.9 versus 32.1. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
Gemini 1.5 Pro has the edge for agentic tasks in this comparison, averaging 49.8 versus 25.7. Inside this category, BrowseComp is the benchmark that creates the most daylight between them.
Gemini 1.5 Pro has the edge for multimodal and grounded tasks in this comparison, averaging 74.1 versus 32.4. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
LFM2.5-1.2B-Instruct has the edge for instruction following in this comparison, averaging 80 versus 77. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Gemini 1.5 Pro has the edge for multilingual tasks in this comparison, averaging 69.5 versus 60.7. Inside this category, MGSM is the benchmark that creates the most daylight between them.
Get notified when new models drop, benchmark scores change, or the leaderboard shifts. One email per week.
Free. No spam. Unsubscribe anytime. We only store derived location metadata for consent routing.