Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Interfaze Beta
77
LFM2.5-230M
17
Pick Interfaze Beta if you want the stronger benchmark profile. LFM2.5-230M only becomes the better choice if you want the cheaper token bill or you would rather avoid the extra latency and token burn of a reasoning model.
Knowledge
+69.6 difference
Interfaze Beta
LFM2.5-230M
$1.5 / $3.5
$0 / $0
N/A
N/A
N/A
N/A
1M
32K
Pick Interfaze Beta if you want the stronger benchmark profile. LFM2.5-230M only becomes the better choice if you want the cheaper token bill or you would rather avoid the extra latency and token burn of a reasoning model.
Interfaze Beta is clearly ahead on the provisional aggregate, 77 to 17. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Interfaze Beta's sharpest advantage is in knowledge, where it averages 89.9 against 20.3.
Interfaze Beta is also the more expensive model on tokens at $1.50 input / $3.50 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. Interfaze Beta is the reasoning model in the pair, while LFM2.5-230M 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. Interfaze Beta gives you the larger context window at 1M, compared with 32K for LFM2.5-230M.
Interfaze Beta is ahead on BenchLM's provisional leaderboard, 77 to 17.
Interfaze Beta has the edge for knowledge tasks in this comparison, averaging 89.9 versus 20.3. LFM2.5-230M stays close enough that the answer can still flip depending on your workload.
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