Databricks makes Chinese open-source model GLM 5.2 its default coding engine after it matched Opus at lower cost

Databricks has adopted the Chinese open-source model GLM 5.2 as its default coding engine after internal benchmarks showed it matched Anthropic's Opus 4.8 in performance at a lower cost of $1.28 per task versus $1.94. The company plans to use it as a daily coding workhorse and advises companies to build their own benchmarks instead of relying on public ones.

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 https://the-decoder.com/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 https://the-decoder.com .