Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude Opus 4.5
77
LFM2.5-VL-450M
0
Verified leaderboard positions: Claude Opus 4.5 #11 · LFM2.5-VL-450M unranked
Pick Claude Opus 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
+44.6 difference
Inst. Following
+18.2 difference
Claude Opus 4.5
LFM2.5-VL-450M
$5 / $25
$0 / $0
46 t/s
N/A
1.01s
N/A
200K
128K
Pick Claude Opus 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 Opus 4.5 is clearly ahead on the provisional aggregate, 77 to 0. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude Opus 4.5's sharpest advantage is in knowledge, where it averages 66.2 against 21.6. The single biggest benchmark swing on the page is MMLU-Pro, 89.5% to 19.3%.
Claude Opus 4.5 is also the more expensive model on tokens at $5.00 input / $25.00 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 4.5 gives you the larger context window at 200K, compared with 128K for LFM2.5-VL-450M.
Claude Opus 4.5 is ahead on BenchLM's provisional leaderboard, 77 to 0. The biggest single separator in this matchup is MMLU-Pro, where the scores are 89.5% and 19.3%.
Claude Opus 4.5 has the edge for knowledge tasks in this comparison, averaging 66.2 versus 21.6. Inside this category, MMLU-Pro is the benchmark that creates the most daylight between them.
Claude Opus 4.5 has the edge for instruction following in this comparison, averaging 79.4 versus 61.2. Inside this category, IFEval is the benchmark that creates the most daylight between them.
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