Head-to-head comparison across 0benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude Opus 4.7 (Adaptive)
90
GPT-5.2-Codex
78
Verified leaderboard positions: Claude Opus 4.7 (Adaptive) #5 · GPT-5.2-Codex unranked
Benchmark data for Claude Opus 4.7 (Adaptive) and GPT-5.2-Codex is coming soon on BenchLM.
Claude Opus 4.7 (Adaptive)
GPT-5.2-Codex
$5 / $25
$1.75 / $14
N/A
123 t/s
N/A
87.34s
1M
400K
Benchmark data for Claude Opus 4.7 (Adaptive) and GPT-5.2-Codex is coming soon on BenchLM.
BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.
Claude Opus 4.7 (Adaptive) is priced at $5.00 input / $25.00 output per 1M tokens, versus $1.75 input / $14.00 output per 1M tokens for GPT-5.2-Codex. Claude Opus 4.7 (Adaptive) has the larger context window at 1M, compared with 400K for GPT-5.2-Codex.
Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.
BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.
Claude Opus 4.7 (Adaptive): $5.00 input / $25.00 output per 1M tokens GPT-5.2-Codex: $1.75 input / $14.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
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