Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
o1-pro
29
ZAYA1-8B
62
Pick ZAYA1-8B if you want the stronger benchmark profile. o1-pro only becomes the better choice if knowledge is the priority or you need the larger 200K context window.
Knowledge
+5.9 difference
o1-pro
ZAYA1-8B
$150 / $600
$0 / $0
N/A
N/A
N/A
N/A
200K
131K
Pick ZAYA1-8B if you want the stronger benchmark profile. o1-pro only becomes the better choice if knowledge is the priority or you need the larger 200K context window.
ZAYA1-8B is clearly ahead on the provisional aggregate, 62 to 29. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
o1-pro is also the more expensive model on tokens at $150.00 input / $600.00 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. o1-pro gives you the larger context window at 200K, compared with 131K for ZAYA1-8B.
ZAYA1-8B is ahead on BenchLM's provisional leaderboard, 62 to 29. The biggest single separator in this matchup is GPQA, where the scores are 79% and 71%.
o1-pro has the edge for knowledge tasks in this comparison, averaging 79 versus 73.1. Inside this category, GPQA is the benchmark that creates the most daylight between them.
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