Databricks Switches to GLM 5.2 as Default Coding Engine
The Decoder · rss · 2026-07-09
Databricks has set the Chinese open-source model GLM 5.2 as its default coding engine. Evaluations on their massive proprietary codebase show it performs nearly as well as Anthropic's Opus 4.8, but at a lower cost.
Key takeaways from the article:
- Databricks tested coding agents on their own large-scale codebase.
- GLM 5.2 matched Opus 4.8 in results.
- Per-task costs are roughly $1.28 vs $1.94.
- The team plans to roll it out as their primary daily coding tool.
Databricks' broader conclusion: No single vendor can dominate every scenario. Enterprises should build evaluations based on their own codebases rather than relying solely on public leaderboards.
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