Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GPT-5.2
83
GPT-5.3 Codex
89
Pick GPT-5.3 Codex if you want the stronger benchmark profile. GPT-5.2 only becomes the better choice if coding is the priority or you want the cheaper token bill.
Agentic
+16.3 difference
Coding
+1.6 difference
GPT-5.2
GPT-5.3 Codex
$2 / $8
$2.5 / $10
73 t/s
79 t/s
130.34s
88.26s
400K
400K
Pick GPT-5.3 Codex if you want the stronger benchmark profile. GPT-5.2 only becomes the better choice if coding is the priority or you want the cheaper token bill.
GPT-5.3 Codex is clearly ahead on the provisional aggregate, 89 to 83. 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 agentic, where it averages 71.5 against 55.2. The single biggest benchmark swing on the page is OSWorld-Verified, 47.3% to 64.7%. GPT-5.2 does hit back in coding, so the answer changes if that is the part of the workload you care about most.
GPT-5.3 Codex is also the more expensive model on tokens at $2.50 input / $10.00 output per 1M tokens, versus $2.00 input / $8.00 output per 1M tokens for GPT-5.2.
GPT-5.3 Codex is ahead on BenchLM's provisional leaderboard, 89 to 83. The biggest single separator in this matchup is OSWorld-Verified, where the scores are 47.3% and 64.7%.
GPT-5.2 has the edge for coding in this comparison, averaging 64.7 versus 63.1. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
GPT-5.3 Codex has the edge for agentic tasks in this comparison, averaging 71.5 versus 55.2. Inside this category, OSWorld-Verified is the benchmark that creates the most daylight between them.
For engineers, researchers, and the plain curious — a weekly brief on new models, ranking shifts, and pricing changes.
Free. No spam. Unsubscribe anytime.