Across 13 shared benchmarks, GLM-5.2 scores higher on 13 and Qwen3 VL 235B A22B Reasoning on 0. The widest gap is OmniScience Non-Hallucination, where GLM-5.2 scores 73.7 against 14.8. Qwen3 VL 235B A22B Reasoning is the cheaper of the two on tracked API pricing ($0.40 against $1.40 per million input tokens).
Best tracked score per model per benchmark (default configuration; source-attributed). ↓ marks lower-is-better metrics. Open either model for its full surface, provenance and pricing. Quoted rates are the price-setter row we currently track for each model — its direct or vendor-official listing where one exists (zai-official, alibaba-official), otherwise the lowest tracked offer.