Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GPT-5.4
89
ZAYA1-74B-Preview
58
Verified leaderboard positions: GPT-5.4 #12 · ZAYA1-74B-Preview unranked
Pick GPT-5.4 if you want the stronger benchmark profile. ZAYA1-74B-Preview only becomes the better choice if you want the cheaper token bill.
Coding
+4.5 difference
Knowledge
+1.8 difference
GPT-5.4
ZAYA1-74B-Preview
$2.5 / $15
$0 / $0
74 t/s
N/A
151.79s
N/A
1.05M
256K
Pick GPT-5.4 if you want the stronger benchmark profile. ZAYA1-74B-Preview only becomes the better choice if you want the cheaper token bill.
GPT-5.4 is clearly ahead on the provisional aggregate, 89 to 58. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.4's sharpest advantage is in coding, where it averages 57.7 against 53.2. The single biggest benchmark swing on the page is GPQA, 92.8% to 57.3%.
GPT-5.4 is also the more expensive model on tokens at $2.50 input / $15.00 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 gives you the larger context window at 1.05M, compared with 256K for ZAYA1-74B-Preview.
GPT-5.4 is ahead on BenchLM's provisional leaderboard, 89 to 58. The biggest single separator in this matchup is GPQA, where the scores are 92.8% and 57.3%.
GPT-5.4 has the edge for knowledge tasks in this comparison, averaging 66.1 versus 64.3. Inside this category, GPQA is the benchmark that creates the most daylight between them.
GPT-5.4 has the edge for coding in this comparison, averaging 57.7 versus 53.2. ZAYA1-74B-Preview stays close enough that the answer can still flip depending on your workload.
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