Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GPT-5.2
81
Interfaze Beta
76
Pick GPT-5.2 if you want the stronger benchmark profile. Interfaze Beta only becomes the better choice if you want the cheaper token bill or you need the larger 1M context window.
Knowledge
+2.5 difference
Multimodal
+9.2 difference
GPT-5.2
Interfaze Beta
$1.75 / $14
$1.5 / $3.5
73 t/s
N/A
130.34s
N/A
400K
1M
Pick GPT-5.2 if you want the stronger benchmark profile. Interfaze Beta only becomes the better choice if you want the cheaper token bill or you need the larger 1M context window.
GPT-5.2 is clearly ahead on the provisional aggregate, 81 to 76. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.2's sharpest advantage is in multimodal & grounded, where it averages 80.3 against 71.1. The single biggest benchmark swing on the page is MMMU-Pro, 79.5% to 71.1%.
GPT-5.2 is also the more expensive model on tokens at $1.75 input / $14.00 output per 1M tokens, versus $1.50 input / $3.50 output per 1M tokens for Interfaze Beta. That is roughly 4.0x on output cost alone. Interfaze Beta gives you the larger context window at 1M, compared with 400K for GPT-5.2.
GPT-5.2 is ahead on BenchLM's provisional leaderboard, 81 to 76. The biggest single separator in this matchup is MMMU-Pro, where the scores are 79.5% and 71.1%.
GPT-5.2 has the edge for knowledge tasks in this comparison, averaging 92.4 versus 89.9. Inside this category, GPQA is the benchmark that creates the most daylight between them.
GPT-5.2 has the edge for multimodal and grounded tasks in this comparison, averaging 80.3 versus 71.1. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
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