Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Claude Sonnet 4.5 is clearly ahead on the aggregate, 76 to 38. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude Sonnet 4.5's sharpest advantage is in multimodal & grounded, where it averages 91.4 against 41.7. The single biggest benchmark swing on the page is MMMU-Pro, 95 to 39.
Claude Sonnet 4.5 is also the more expensive model on tokens at $3.00 input / $15.00 output per 1M tokens, versus $0.03 input / $0.12 output per 1M tokens for LFM2-24B-A2B. That is roughly 125.0x on output cost alone. Claude Sonnet 4.5 gives you the larger context window at 200K, compared with 32K for LFM2-24B-A2B.
Pick Claude Sonnet 4.5 if you want the stronger benchmark profile. LFM2-24B-A2B only becomes the better choice if you want the cheaper token bill.
Claude Sonnet 4.5
70.3
LFM2-24B-A2B
33.4
Claude Sonnet 4.5
57.5
LFM2-24B-A2B
18
Claude Sonnet 4.5
91.4
LFM2-24B-A2B
41.7
Claude Sonnet 4.5
86
LFM2-24B-A2B
46.6
Claude Sonnet 4.5
70.7
LFM2-24B-A2B
35.6
Claude Sonnet 4.5
90
LFM2-24B-A2B
68
Claude Sonnet 4.5
88.4
LFM2-24B-A2B
61.4
Claude Sonnet 4.5
92.4
LFM2-24B-A2B
50.4
Claude Sonnet 4.5 is ahead overall, 76 to 38. The biggest single separator in this matchup is MMMU-Pro, where the scores are 95 and 39.
Claude Sonnet 4.5 has the edge for knowledge tasks in this comparison, averaging 70.7 versus 35.6. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Claude Sonnet 4.5 has the edge for coding in this comparison, averaging 57.5 versus 18. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
Claude Sonnet 4.5 has the edge for math in this comparison, averaging 92.4 versus 50.4. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Claude Sonnet 4.5 has the edge for reasoning in this comparison, averaging 86 versus 46.6. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
Claude Sonnet 4.5 has the edge for agentic tasks in this comparison, averaging 70.3 versus 33.4. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Claude Sonnet 4.5 has the edge for multimodal and grounded tasks in this comparison, averaging 91.4 versus 41.7. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Claude Sonnet 4.5 has the edge for instruction following in this comparison, averaging 90 versus 68. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Claude Sonnet 4.5 has the edge for multilingual tasks in this comparison, averaging 88.4 versus 61.4. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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