Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude Opus 4.6
84
LFM2.5-VL-450M
33
Verified leaderboard positions: Claude Opus 4.6 #2 · LFM2.5-VL-450M unranked
Pick Claude Opus 4.6 if you want the stronger benchmark profile. LFM2.5-VL-450M only becomes the better choice if you want the cheaper token bill.
Knowledge
+54.6 difference
Claude Opus 4.6
LFM2.5-VL-450M
$15 / $75
$0 / $0
40 t/s
N/A
1.78s
N/A
1M
128K
Pick Claude Opus 4.6 if you want the stronger benchmark profile. LFM2.5-VL-450M only becomes the better choice if you want the cheaper token bill.
Claude Opus 4.6 is clearly ahead on the provisional aggregate, 84 to 33. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude Opus 4.6's sharpest advantage is in knowledge, where it averages 76.2 against 21.6. The single biggest benchmark swing on the page is GPQA, 91.3% to 25.7%.
Claude Opus 4.6 is also the more expensive model on tokens at $15.00 input / $75.00 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 Opus 4.6 gives you the larger context window at 1M, compared with 128K for LFM2.5-VL-450M.
Claude Opus 4.6 is ahead on BenchLM's provisional leaderboard, 84 to 33. The biggest single separator in this matchup is GPQA, where the scores are 91.3% and 25.7%.
Claude Opus 4.6 has the edge for knowledge tasks in this comparison, averaging 76.2 versus 21.6. Inside this category, GPQA is the benchmark that creates the most daylight between them.
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