Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Kimi K2.5 (Reasoning)
76
LFM2.5-VL-450M
33
Pick Kimi K2.5 (Reasoning) if you want the stronger benchmark profile. LFM2.5-VL-450M only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
Knowledge
+65.7 difference
Kimi K2.5 (Reasoning)
LFM2.5-VL-450M
$null / $null
$0 / $0
N/A
N/A
N/A
N/A
128K
128K
Pick Kimi K2.5 (Reasoning) if you want the stronger benchmark profile. LFM2.5-VL-450M only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
Kimi K2.5 (Reasoning) is clearly ahead on the provisional aggregate, 76 to 33. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Kimi K2.5 (Reasoning)'s sharpest advantage is in knowledge, where it averages 87.3 against 21.6. The single biggest benchmark swing on the page is MMLU-Pro, 87.1% to 19.3%.
Kimi K2.5 (Reasoning) is the reasoning model in the pair, while LFM2.5-VL-450M is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use.
Kimi K2.5 (Reasoning) is ahead on BenchLM's provisional leaderboard, 76 to 33. The biggest single separator in this matchup is MMLU-Pro, where the scores are 87.1% and 19.3%.
Kimi K2.5 (Reasoning) has the edge for knowledge tasks in this comparison, averaging 87.3 versus 21.6. Inside this category, MMLU-Pro is the benchmark that creates the most daylight between them.
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