Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GPT-5.4
89
Interfaze Beta
76
Verified leaderboard positions: GPT-5.4 #12 · Interfaze Beta unranked
Pick GPT-5.4 if you want the stronger benchmark profile. Interfaze Beta only becomes the better choice if knowledge is the priority or you want the cheaper token bill.
Knowledge
+23.8 difference
Multimodal
+1.6 difference
GPT-5.4
Interfaze Beta
$2.5 / $15
$1.5 / $3.5
74 t/s
N/A
151.79s
N/A
1.05M
1M
Pick GPT-5.4 if you want the stronger benchmark profile. Interfaze Beta only becomes the better choice if knowledge is the priority or you want the cheaper token bill.
GPT-5.4 is clearly ahead on the provisional aggregate, 89 to 76. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.4's sharpest advantage is in multimodal & grounded, where it averages 72.7 against 71.1. The single biggest benchmark swing on the page is MMMU-Pro, 81.2% to 71.1%. Interfaze Beta does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
GPT-5.4 is also the more expensive model on tokens at $2.50 input / $15.00 output per 1M tokens, versus $1.50 input / $3.50 output per 1M tokens for Interfaze Beta. That is roughly 4.3x on output cost alone. GPT-5.4 gives you the larger context window at 1.05M, compared with 1M for Interfaze Beta.
GPT-5.4 is ahead on BenchLM's provisional leaderboard, 89 to 76. The biggest single separator in this matchup is MMMU-Pro, where the scores are 81.2% and 71.1%.
Interfaze Beta has the edge for knowledge tasks in this comparison, averaging 89.9 versus 66.1. Inside this category, GPQA is the benchmark that creates the most daylight between them.
GPT-5.4 has the edge for multimodal and grounded tasks in this comparison, averaging 72.7 versus 71.1. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
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