Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Interfaze Beta
76
o1
57
Pick Interfaze Beta if you want the stronger benchmark profile. o1 only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Knowledge
+14.2 difference
Interfaze Beta
o1
$1.5 / $3.5
$15 / $60
N/A
98 t/s
N/A
32.29s
1M
200K
Pick Interfaze Beta if you want the stronger benchmark profile. o1 only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Interfaze Beta is clearly ahead on the provisional aggregate, 76 to 57. 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 75.7. The single biggest benchmark swing on the page is GPQA, 89.9% to 75.7%.
o1 is also the more expensive model on tokens at $15.00 input / $60.00 output per 1M tokens, versus $1.50 input / $3.50 output per 1M tokens for Interfaze Beta. That is roughly 17.1x on output cost alone. Interfaze Beta gives you the larger context window at 1M, compared with 200K for o1.
Interfaze Beta is ahead on BenchLM's provisional leaderboard, 76 to 57. The biggest single separator in this matchup is GPQA, where the scores are 89.9% and 75.7%.
Interfaze Beta has the edge for knowledge tasks in this comparison, averaging 89.9 versus 75.7. Inside this category, GPQA is the benchmark that creates the most daylight between them.
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