Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GPT-5.2
81
ZAYA1-8B
62
Pick GPT-5.2 if you want the stronger benchmark profile. ZAYA1-8B only becomes the better choice if you want the cheaper token bill.
Knowledge
+19.3 difference
GPT-5.2
ZAYA1-8B
$1.75 / $14
$0 / $0
73 t/s
N/A
130.34s
N/A
400K
131K
Pick GPT-5.2 if you want the stronger benchmark profile. ZAYA1-8B only becomes the better choice if you want the cheaper token bill.
GPT-5.2 is clearly ahead on the provisional aggregate, 81 to 62. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.2's sharpest advantage is in knowledge, where it averages 92.4 against 73.1. The single biggest benchmark swing on the page is GPQA, 92.4% to 71%.
GPT-5.2 is also the more expensive model on tokens at $1.75 input / $14.00 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. GPT-5.2 gives you the larger context window at 400K, compared with 131K for ZAYA1-8B.
GPT-5.2 is ahead on BenchLM's provisional leaderboard, 81 to 62. The biggest single separator in this matchup is GPQA, where the scores are 92.4% and 71%.
GPT-5.2 has the edge for knowledge tasks in this comparison, averaging 92.4 versus 73.1. Inside this category, GPQA is the benchmark that creates the most daylight between them.
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