Databricks benchmarked coding agents on its own multi-million-line codebase and found that the Chinese open-source model GLM 5.2 matched Anthropic's Opus 4.8 at $1.28 per task versus $1.94. The company plans to roll it out as a daily coding workhorse. Its broader takeaway: no single provider dominates, and companies should build their own benchmarks instead of relying on public ones. The article Databricks makes Chinese open-source model GLM 5.2 its default coding engine after it matched Opus at lower cost appeared first on The Decoder .
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