Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude Opus 4.7 (Adaptive)
90
Interfaze Beta
76
Verified leaderboard positions: Claude Opus 4.7 (Adaptive) #5 · Interfaze Beta unranked
Pick Claude Opus 4.7 (Adaptive) 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
+21.7 difference
Multimodal
+6.8 difference
Claude Opus 4.7 (Adaptive)
Interfaze Beta
$5 / $25
$1.5 / $3.5
N/A
N/A
N/A
N/A
1M
1M
Pick Claude Opus 4.7 (Adaptive) 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.
Claude Opus 4.7 (Adaptive) is clearly ahead on the provisional aggregate, 90 to 76. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude Opus 4.7 (Adaptive) is also the more expensive model on tokens at $5.00 input / $25.00 output per 1M tokens, versus $1.50 input / $3.50 output per 1M tokens for Interfaze Beta. That is roughly 7.1x on output cost alone.
Claude Opus 4.7 (Adaptive) is ahead on BenchLM's provisional leaderboard, 90 to 76. The biggest single separator in this matchup is GPQA, where the scores are 94.2% and 89.9%.
Interfaze Beta has the edge for knowledge tasks in this comparison, averaging 89.9 versus 68.2. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Interfaze Beta has the edge for multimodal and grounded tasks in this comparison, averaging 71.1 versus 64.3. Claude Opus 4.7 (Adaptive) stays close enough that the answer can still flip depending on your workload.
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