Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude Sonnet 4.6
82
LFM2.5-230M
17
Pick Claude Sonnet 4.6 if you want the stronger benchmark profile. LFM2.5-230M only becomes the better choice if you want the cheaper token bill.
Knowledge
+53.4 difference
Claude Sonnet 4.6
LFM2.5-230M
$3 / $15
$0 / $0
44 t/s
N/A
1.48s
N/A
200K
32K
Pick Claude Sonnet 4.6 if you want the stronger benchmark profile. LFM2.5-230M only becomes the better choice if you want the cheaper token bill.
Claude Sonnet 4.6 is clearly ahead on the provisional aggregate, 82 to 17. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude Sonnet 4.6's sharpest advantage is in knowledge, where it averages 73.7 against 20.3. The single biggest benchmark swing on the page is MMLU-Pro, 79.2% to 20.3%.
Claude Sonnet 4.6 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 LFM2.5-230M. That is roughly Infinityx on output cost alone. Claude Sonnet 4.6 gives you the larger context window at 200K, compared with 32K for LFM2.5-230M.
Claude Sonnet 4.6 is ahead on BenchLM's provisional leaderboard, 82 to 17. The biggest single separator in this matchup is MMLU-Pro, where the scores are 79.2% and 20.3%.
Claude Sonnet 4.6 has the edge for knowledge tasks in this comparison, averaging 73.7 versus 20.3. Inside this category, MMLU-Pro is the benchmark that creates the most daylight between them.
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