Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Interfaze Beta
76
o3-mini
56
Pick Interfaze Beta if you want the stronger benchmark profile. o3-mini only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Knowledge
+12.7 difference
Interfaze Beta
o3-mini
$1.5 / $3.5
$1.1 / $4.4
N/A
160 t/s
N/A
7.12s
1M
200K
Pick Interfaze Beta if you want the stronger benchmark profile. o3-mini 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 56. 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 77.2. The single biggest benchmark swing on the page is GPQA, 89.9% to 77.2%.
o3-mini is also the more expensive model on tokens at $1.10 input / $4.40 output per 1M tokens, versus $1.50 input / $3.50 output per 1M tokens for Interfaze Beta. Interfaze Beta gives you the larger context window at 1M, compared with 200K for o3-mini.
Interfaze Beta is ahead on BenchLM's provisional leaderboard, 76 to 56. The biggest single separator in this matchup is GPQA, where the scores are 89.9% and 77.2%.
Interfaze Beta has the edge for knowledge tasks in this comparison, averaging 89.9 versus 77.2. Inside this category, GPQA is the benchmark that creates the most daylight between them.
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