Head-to-head comparison across 0benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GLM-4.7
68
GPT-5.2-Codex
76
Benchmark data for GLM-4.7 and GPT-5.2-Codex is coming soon on BenchLM.
GLM-4.7
GPT-5.2-Codex
$0 / $0
$1.75 / $14
82 t/s
123 t/s
1.10s
87.34s
200K
400K
Benchmark data for GLM-4.7 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.
GPT-5.2-Codex is priced at $1.75 input / $14.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for GLM-4.7. GPT-5.2-Codex has the larger context window at 400K, compared with 200K for GLM-4.7.
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.
GLM-4.7: $0.00 input / $0.00 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.
For engineers, researchers, and the plain curious — a weekly brief on new models, ranking shifts, and pricing changes.
Free. No spam. Unsubscribe anytime.