Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
o1
57
ZAYA1-8B
57
Treat this as a split decision. o1 makes more sense if instruction following is the priority or you need the larger 200K context window; ZAYA1-8B is the better fit if you want the cheaper token bill.
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
Treat this as a split decision. o1 makes more sense if instruction following is the priority or you need the larger 200K context window; ZAYA1-8B is the better fit if you want the cheaper token bill.
o1 and ZAYA1-8B finish on the same provisional overall score, so this is less about a single winner and more about where the edge shows up. The provisional headline says tie; the benchmark table is where the real choice happens.
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.
o1 and ZAYA1-8B are tied on the provisional overall score, so the right pick depends on which category matters most for your use case.
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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