Chinese LLM APIs for Structured Output: JSON, Schemas, Extraction, and Validation
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Chinese LLMStructured OutputJSON ModeData Extraction
Many production AI apps need structured output, not paragraphs. Chinese LLM APIs should be tested for schema reliability before they feed databases or tools.
Use cases
Structured output is used for:
- field extraction
- classification
- ticket routing
- lead scoring
- compliance checks
- tool arguments
What to measure
Track JSON validity, schema pass rate, missing fields, hallucinated fields, retry success, and cost per valid output.
Model routing
Different models may follow schemas differently. Test DeepSeek, Qwen, Kimi, MiniMax, and GLM with the same validation set.
Final thoughts
Structured output is a software reliability problem. Validate every response and route to the model with the best schema pass rate for your task.