Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
o1
58
ZAYA1-8B
62
Pick ZAYA1-8B if you want the stronger benchmark profile. o1 only becomes the better choice if instruction following is the priority or you need the larger 200K context window.
Knowledge
+2.6 difference
Inst. Following
+18.2 difference
o1
ZAYA1-8B
$15 / $60
$0 / $0
98 t/s
N/A
32.29s
N/A
200K
131K
Pick ZAYA1-8B if you want the stronger benchmark profile. o1 only becomes the better choice if instruction following is the priority or you need the larger 200K context window.
ZAYA1-8B is clearly ahead on the provisional aggregate, 62 to 58. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
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 ZAYA1-8B. That is roughly Infinityx on output cost alone. o1 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 58. The biggest single separator in this matchup is IFEval, where the scores are 92.2% and 85.6%.
o1 has the edge for knowledge tasks in this comparison, averaging 75.7 versus 73.1. Inside this category, GPQA is the benchmark that creates the most daylight between them.
o1 has the edge for instruction following in this comparison, averaging 92.2 versus 74. Inside this category, IFEval is the benchmark that creates the most daylight between them.
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