Local LLM Benchmark about Backend Generation by Function Calling (GLM vs Qwen vs DeepSeek)

Detailed Article: Five months ago I posted the "Hardcore function calling benchmark in backend coding agent" thread here. As I wrote in that post, it was an uncontrolled measurement - useful for showing whether each model could fill our complex recursive-union AST schemas at all, but not really a benchmark in any rigorous sense. This post is the proper version, with controlled variables and a real scoring rubric. Three findings worth sharing The function calling harness has effectively closed the frontier-vs-local gap on backend generation. gpt-5.4 's DB/API design ≈ qwen3.5-35b-a3b 's.