Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude Fable 5
96
Interfaze Beta
77
Verified leaderboard positions: Claude Fable 5 #2 · Interfaze Beta unranked
Pick Claude Fable 5 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
+15.1 difference
Multimodal
+21.3 difference
Claude Fable 5
Interfaze Beta
$10 / $50
$1.5 / $3.5
N/A
N/A
N/A
N/A
1M+
1M
Pick Claude Fable 5 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 Fable 5 is clearly ahead on the provisional aggregate, 96 to 77. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude Fable 5's sharpest advantage is in multimodal & grounded, where it averages 92.4 against 71.1. The single biggest benchmark swing on the page is MMMU-Pro, 92.7% 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.
Claude Fable 5 is also the more expensive model on tokens at $10.00 input / $50.00 output per 1M tokens, versus $1.50 input / $3.50 output per 1M tokens for Interfaze Beta. That is roughly 14.3x on output cost alone. Claude Fable 5 gives you the larger context window at 1M+, compared with 1M for Interfaze Beta.
Claude Fable 5 is ahead on BenchLM's provisional leaderboard, 96 to 77. The biggest single separator in this matchup is MMMU-Pro, where the scores are 92.7% and 71.1%.
Interfaze Beta has the edge for knowledge tasks in this comparison, averaging 89.9 versus 74.8. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Claude Fable 5 has the edge for multimodal and grounded tasks in this comparison, averaging 92.4 versus 71.1. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
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