Claude Opus 4.7 vs GPT-5.3 Codex

Pick Claude Opus 4.7 if you want the stronger benchmark profile. GPT-5.3 Codex only becomes the better choice if you want the cheaper token bill or you want the stronger reasoning-first profile.

Claude Opus 4.7 is clearly ahead on the provisional aggregate, 93 to 89. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

Claude Opus 4.7's sharpest advantage is in coding, where it averages 72.9 against 63.1. The single biggest benchmark swing on the page is OSWorld-Verified, 78% to 64.7%.

Claude Opus 4.7 is also the more expensive model on tokens at $5.00 input / $25.00 output per 1M tokens, versus $2.50 input / $10.00 output per 1M tokens for GPT-5.3 Codex. That is roughly 2.5x on output cost alone. GPT-5.3 Codex is the reasoning model in the pair, while Claude Opus 4.7 is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. Claude Opus 4.7 gives you the larger context window at 1M, compared with 400K for GPT-5.3 Codex.