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 38. 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 41.7. The single biggest benchmark swing on the page is MMMU-Pro, 70 to 39.
Claude 3 Haiku gives you the larger context window at 200K, compared with 32K for LFM2-24B-A2B.
Pick Claude 3 Haiku if you want the stronger benchmark profile. LFM2-24B-A2B only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Claude 3 Haiku
44
LFM2-24B-A2B
33.4
Claude 3 Haiku
19.3
LFM2-24B-A2B
18
Claude 3 Haiku
68.7
LFM2-24B-A2B
41.7
Claude 3 Haiku
59.6
LFM2-24B-A2B
46.6
Claude 3 Haiku
42.8
LFM2-24B-A2B
35.6
Claude 3 Haiku
76
LFM2-24B-A2B
68
Claude 3 Haiku
71.1
LFM2-24B-A2B
61.4
Claude 3 Haiku
62.2
LFM2-24B-A2B
50.4
Claude 3 Haiku is ahead overall, 49 to 38. The biggest single separator in this matchup is MMMU-Pro, where the scores are 70 and 39.
Claude 3 Haiku has the edge for knowledge tasks in this comparison, averaging 42.8 versus 35.6. Inside this category, MMLU-Pro 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 18. 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 50.4. Inside this category, MATH-500 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 46.6. Inside this category, MRCRv2 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 33.4. 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 41.7. 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 68. 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 61.4. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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