Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude Sonnet 4.5
67
LFM2.5-VL-450M
33
Pick Claude Sonnet 4.5 if you want the stronger benchmark profile. LFM2.5-VL-450M only becomes the better choice if you want the cheaper token bill.
Knowledge
+61.8 difference
Claude Sonnet 4.5
LFM2.5-VL-450M
$3 / $15
$0 / $0
N/A
N/A
N/A
N/A
200K
128K
Pick Claude Sonnet 4.5 if you want the stronger benchmark profile. LFM2.5-VL-450M only becomes the better choice if you want the cheaper token bill.
Claude Sonnet 4.5 is clearly ahead on the provisional aggregate, 67 to 33. 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 knowledge, where it averages 83.4 against 21.6. The single biggest benchmark swing on the page is GPQA, 83.4% to 25.7%.
Claude Sonnet 4.5 is also the more expensive model on tokens at $3.00 input / $15.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for LFM2.5-VL-450M. That is roughly Infinityx on output cost alone. Claude Sonnet 4.5 gives you the larger context window at 200K, compared with 128K for LFM2.5-VL-450M.
Claude Sonnet 4.5 is ahead on BenchLM's provisional leaderboard, 67 to 33. The biggest single separator in this matchup is GPQA, where the scores are 83.4% and 25.7%.
Claude Sonnet 4.5 has the edge for knowledge tasks in this comparison, averaging 83.4 versus 21.6. Inside this category, GPQA is the benchmark that creates the most daylight between them.
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