Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
o1
57
ZAYA1-74B-Preview
58
Pick ZAYA1-74B-Preview if you want the stronger benchmark profile. o1 only becomes the better choice if knowledge is the priority.
Knowledge
+11.4 difference
o1
ZAYA1-74B-Preview
$15 / $60
$0 / $0
98 t/s
N/A
32.29s
N/A
200K
256K
Pick ZAYA1-74B-Preview if you want the stronger benchmark profile. o1 only becomes the better choice if knowledge is the priority.
ZAYA1-74B-Preview finishes one point ahead on BenchLM's provisional leaderboard, 58 to 57. That is enough to call, but not enough to treat as a blowout. This matchup comes down to a few meaningful edges rather than one model dominating the board.
o1 is also the more expensive model on tokens at $15.00 input / $60.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for ZAYA1-74B-Preview. That is roughly Infinityx on output cost alone. ZAYA1-74B-Preview gives you the larger context window at 256K, compared with 200K for o1.
ZAYA1-74B-Preview is ahead on BenchLM's provisional leaderboard, 58 to 57. The biggest single separator in this matchup is GPQA, where the scores are 75.7% and 57.3%.
o1 has the edge for knowledge tasks in this comparison, averaging 75.7 versus 64.3. 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.