Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GPT-5.4 mini
71
Interfaze Beta
76
Pick Interfaze Beta if you want the stronger benchmark profile. GPT-5.4 mini only becomes the better choice if multimodal & grounded is the priority.
Knowledge
+32.5 difference
Multimodal
+5.5 difference
GPT-5.4 mini
Interfaze Beta
$0.75 / $4.5
$1.5 / $3.5
201 t/s
N/A
3.85s
N/A
400K
1M
Pick Interfaze Beta if you want the stronger benchmark profile. GPT-5.4 mini only becomes the better choice if multimodal & grounded is the priority.
Interfaze Beta is clearly ahead on the provisional aggregate, 76 to 71. 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 57.4. The single biggest benchmark swing on the page is MMMU-Pro, 76.6% to 71.1%. GPT-5.4 mini does hit back in multimodal & grounded, so the answer changes if that is the part of the workload you care about most.
GPT-5.4 mini is also the more expensive model on tokens at $0.75 input / $4.50 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 400K for GPT-5.4 mini.
Interfaze Beta is ahead on BenchLM's provisional leaderboard, 76 to 71. The biggest single separator in this matchup is MMMU-Pro, where the scores are 76.6% and 71.1%.
Interfaze Beta has the edge for knowledge tasks in this comparison, averaging 89.9 versus 57.4. Inside this category, GPQA is the benchmark that creates the most daylight between them.
GPT-5.4 mini has the edge for multimodal and grounded tasks in this comparison, averaging 76.6 versus 71.1. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
For engineers, researchers, and the plain curious — a weekly brief on new models, ranking shifts, and pricing changes.
Free. No spam. Unsubscribe anytime.