Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GPT-5.5
91
ZAYA1-74B-Preview
58
Verified leaderboard positions: GPT-5.5 #3 · ZAYA1-74B-Preview unranked
Pick GPT-5.5 if you want the stronger benchmark profile. ZAYA1-74B-Preview only becomes the better choice if you want the cheaper token bill.
Coding
+5.4 difference
Knowledge
+2.1 difference
GPT-5.5
ZAYA1-74B-Preview
$5 / $30
$0 / $0
N/A
N/A
N/A
N/A
1M
256K
Pick GPT-5.5 if you want the stronger benchmark profile. ZAYA1-74B-Preview only becomes the better choice if you want the cheaper token bill.
GPT-5.5 is clearly ahead on the provisional aggregate, 91 to 58. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.5's sharpest advantage is in coding, where it averages 58.6 against 53.2. The single biggest benchmark swing on the page is GPQA, 93.6% to 57.3%.
GPT-5.5 is also the more expensive model on tokens at $5.00 input / $30.00 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-5.5 gives you the larger context window at 1M, compared with 256K for ZAYA1-74B-Preview.
GPT-5.5 is ahead on BenchLM's provisional leaderboard, 91 to 58. The biggest single separator in this matchup is GPQA, where the scores are 93.6% and 57.3%.
GPT-5.5 has the edge for knowledge tasks in this comparison, averaging 66.4 versus 64.3. Inside this category, GPQA is the benchmark that creates the most daylight between them.
GPT-5.5 has the edge for coding in this comparison, averaging 58.6 versus 53.2. ZAYA1-74B-Preview stays close enough that the answer can still flip depending on your workload.
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