Across 61 shared benchmarks, DeepSeek-V3.2 scores higher on 53 and Kimi K2 Instruct on 8. The widest gap is BrowseComp w/ tools, where DeepSeek-V3.2 scores 40.1 against 7.4. DeepSeek-V3.2 is the cheaper of the two on tracked API pricing ($0.28 against $0.60 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 (direct, direct), otherwise the lowest tracked offer.