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.
source & further reading
the-decoder.com — original article
OpenAI's AI beats every human at AtCoder, a top competitive programming contest
Grok 4.5 is so cheap compared to Fable 5 and GPT 5.5 that benchmark gaps may not matter much
ChatGPT can now listen and talk at the same time, making AI conversations seem more human