Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Interfaze Beta
76
ZAYA1-8B
62
Pick Interfaze Beta if you want the stronger benchmark profile. ZAYA1-8B only becomes the better choice if you want the cheaper token bill.
Knowledge
+16.8 difference
Interfaze Beta
ZAYA1-8B
$1.5 / $3.5
$0 / $0
N/A
N/A
N/A
N/A
1M
131K
Pick Interfaze Beta if you want the stronger benchmark profile. ZAYA1-8B only becomes the better choice if you want the cheaper token bill.
Interfaze Beta is clearly ahead on the provisional aggregate, 76 to 62. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Interfaze Beta's sharpest advantage is in knowledge, where it averages 89.9 against 73.1. The single biggest benchmark swing on the page is GPQA, 89.9% to 71%.
Interfaze Beta is also the more expensive model on tokens at $1.50 input / $3.50 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for ZAYA1-8B. That is roughly Infinityx on output cost alone. Interfaze Beta gives you the larger context window at 1M, compared with 131K for ZAYA1-8B.
Interfaze Beta is ahead on BenchLM's provisional leaderboard, 76 to 62. The biggest single separator in this matchup is GPQA, where the scores are 89.9% and 71%.
Interfaze Beta has the edge for knowledge tasks in this comparison, averaging 89.9 versus 73.1. Inside this category, GPQA is the benchmark that creates the most daylight between them.
For engineers, researchers, and the plain curious — a weekly brief on new models, ranking shifts, and pricing changes.
Free. No spam. Unsubscribe anytime.