Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Claude 3 Haiku is clearly ahead on the aggregate, 49 to 33. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude 3 Haiku's sharpest advantage is in multimodal & grounded, where it averages 68.7 against 32.4. The single biggest benchmark swing on the page is MMMU-Pro, 70 to 27.
LFM2.5-1.2B-Thinking is the reasoning model in the pair, while Claude 3 Haiku 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. Claude 3 Haiku gives you the larger context window at 200K, compared with 32K for LFM2.5-1.2B-Thinking.
Pick Claude 3 Haiku 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.
Claude 3 Haiku
44
LFM2.5-1.2B-Thinking
34.1
Claude 3 Haiku
19.3
LFM2.5-1.2B-Thinking
8.2
Claude 3 Haiku
68.7
LFM2.5-1.2B-Thinking
32.4
Claude 3 Haiku
59.6
LFM2.5-1.2B-Thinking
38.4
Claude 3 Haiku
42.8
LFM2.5-1.2B-Thinking
27
Claude 3 Haiku
76
LFM2.5-1.2B-Thinking
72
Claude 3 Haiku
71.1
LFM2.5-1.2B-Thinking
60.7
Claude 3 Haiku
62.2
LFM2.5-1.2B-Thinking
42.3
Claude 3 Haiku is ahead overall, 49 to 33. The biggest single separator in this matchup is MMMU-Pro, where the scores are 70 and 27.
Claude 3 Haiku has the edge for knowledge tasks in this comparison, averaging 42.8 versus 27. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Claude 3 Haiku has the edge for coding in this comparison, averaging 19.3 versus 8.2. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
Claude 3 Haiku has the edge for math in this comparison, averaging 62.2 versus 42.3. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Claude 3 Haiku has the edge for reasoning in this comparison, averaging 59.6 versus 38.4. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
Claude 3 Haiku has the edge for agentic tasks in this comparison, averaging 44 versus 34.1. Inside this category, BrowseComp is the benchmark that creates the most daylight between them.
Claude 3 Haiku has the edge for multimodal and grounded tasks in this comparison, averaging 68.7 versus 32.4. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Claude 3 Haiku has the edge for instruction following in this comparison, averaging 76 versus 72. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Claude 3 Haiku has the edge for multilingual tasks in this comparison, averaging 71.1 versus 60.7. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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