Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GPT-5.3 Codex
87
ZAYA1-74B-Preview
58
Pick GPT-5.3 Codex if you want the stronger benchmark profile. ZAYA1-74B-Preview only becomes the better choice if you want the cheaper token bill.
Coding
+9.9 difference
GPT-5.3 Codex
ZAYA1-74B-Preview
$1.75 / $14
$0 / $0
79 t/s
N/A
88.26s
N/A
400K
256K
Pick GPT-5.3 Codex if you want the stronger benchmark profile. ZAYA1-74B-Preview only becomes the better choice if you want the cheaper token bill.
GPT-5.3 Codex is clearly ahead on the provisional aggregate, 87 to 58. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.3 Codex's sharpest advantage is in coding, where it averages 63.1 against 53.2. The single biggest benchmark swing on the page is SWE-bench Verified, 85% to 53.2%.
GPT-5.3 Codex 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 ZAYA1-74B-Preview. That is roughly Infinityx on output cost alone. GPT-5.3 Codex gives you the larger context window at 400K, compared with 256K for ZAYA1-74B-Preview.
GPT-5.3 Codex is ahead on BenchLM's provisional leaderboard, 87 to 58. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 85% and 53.2%.
GPT-5.3 Codex has the edge for coding in this comparison, averaging 63.1 versus 53.2. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
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