Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GPT-5.4 nano
61
ZAYA1-74B-Preview
58
Pick GPT-5.4 nano if you want the stronger benchmark profile. ZAYA1-74B-Preview only becomes the better choice if knowledge is the priority or you want the cheaper token bill.
Knowledge
+11.1 difference
GPT-5.4 nano
ZAYA1-74B-Preview
$0.2 / $1.25
$0 / $0
191 t/s
N/A
3.64s
N/A
400K
256K
Pick GPT-5.4 nano if you want the stronger benchmark profile. ZAYA1-74B-Preview only becomes the better choice if knowledge is the priority or you want the cheaper token bill.
GPT-5.4 nano has the cleaner provisional overall profile here, landing at 61 versus 58. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
GPT-5.4 nano is also the more expensive model on tokens at $0.20 input / $1.25 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. GPT-5.4 nano gives you the larger context window at 400K, compared with 256K for ZAYA1-74B-Preview.
GPT-5.4 nano is ahead on BenchLM's provisional leaderboard, 61 to 58. The biggest single separator in this matchup is GPQA, where the scores are 82.8% and 57.3%.
ZAYA1-74B-Preview has the edge for knowledge tasks in this comparison, averaging 64.3 versus 53.2. Inside this category, GPQA is the benchmark that creates the most daylight between them.
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