Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude Opus 4.7 (Adaptive)
90
GPT-5.3 Codex
88
Verified leaderboard positions: Claude Opus 4.7 (Adaptive) #5 · GPT-5.3 Codex unranked
Pick Claude Opus 4.7 (Adaptive) if you want the stronger benchmark profile. GPT-5.3 Codex only becomes the better choice if you want the cheaper token bill.
Agentic
+3.4 difference
Coding
+9.8 difference
Claude Opus 4.7 (Adaptive)
GPT-5.3 Codex
$5 / $25
$1.75 / $14
N/A
79 t/s
N/A
88.26s
1M
400K
Pick Claude Opus 4.7 (Adaptive) if you want the stronger benchmark profile. GPT-5.3 Codex only becomes the better choice if you want the cheaper token bill.
Claude Opus 4.7 (Adaptive) has the cleaner provisional overall profile here, landing at 90 versus 88. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
Claude Opus 4.7 (Adaptive)'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 (Adaptive) is also the more expensive model on tokens at $5.00 input / $25.00 output per 1M tokens, versus $1.75 input / $14.00 output per 1M tokens for GPT-5.3 Codex. Claude Opus 4.7 (Adaptive) gives you the larger context window at 1M, compared with 400K for GPT-5.3 Codex.
Claude Opus 4.7 (Adaptive) is ahead on BenchLM's provisional leaderboard, 90 to 88. The biggest single separator in this matchup is OSWorld-Verified, where the scores are 78% and 64.7%.
Claude Opus 4.7 (Adaptive) has the edge for coding in this comparison, averaging 72.9 versus 63.1. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
Claude Opus 4.7 (Adaptive) has the edge for agentic tasks in this comparison, averaging 74.9 versus 71.5. Inside this category, OSWorld-Verified is the benchmark that creates the most daylight between them.
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