Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GPT-5.4 Pro
91
Interfaze Beta
76
Pick GPT-5.4 Pro 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
+40.9 difference
Multimodal
+22.9 difference
GPT-5.4 Pro
Interfaze Beta
$30 / $180
$1.5 / $3.5
74 t/s
N/A
151.79s
N/A
1.05M
1M
Pick GPT-5.4 Pro 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 Pro is clearly ahead on the provisional aggregate, 91 to 76. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.4 Pro's sharpest advantage is in multimodal & grounded, where it averages 94 against 71.1. The single biggest benchmark swing on the page is MMMU-Pro, 94% 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 Pro is also the more expensive model on tokens at $30.00 input / $180.00 output per 1M tokens, versus $1.50 input / $3.50 output per 1M tokens for Interfaze Beta. That is roughly 51.4x on output cost alone. GPT-5.4 Pro gives you the larger context window at 1.05M, compared with 1M for Interfaze Beta.
GPT-5.4 Pro is ahead on BenchLM's provisional leaderboard, 91 to 76. The biggest single separator in this matchup is MMMU-Pro, where the scores are 94% and 71.1%.
Interfaze Beta has the edge for knowledge tasks in this comparison, averaging 89.9 versus 49. GPT-5.4 Pro stays close enough that the answer can still flip depending on your workload.
GPT-5.4 Pro has the edge for multimodal and grounded tasks in this comparison, averaging 94 versus 71.1. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
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