How to Migrate from OpenAI to Chinese LLM APIs
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OpenAI MigrationChinese LLMDeepSeekQwenKimi
Migrating from OpenAI to Chinese LLM APIs should be gradual, measurable, and reversible. Many Chinese providers support OpenAI-compatible patterns, but compatibility does not guarantee identical behavior.
Migration steps
1. Map current AI workloads. 2. Build an evaluation set. 3. Test DeepSeek, Qwen, Kimi, MiniMax, GLM, and Doubao by task. 4. Compare latency, cost, and quality. 5. Add gateway routing. 6. Roll out to low-risk traffic. 7. Monitor errors and user feedback.
What to test
Test streaming, tool calls, JSON output, prompt behavior, token usage, rate limits, and error formats.
Final thoughts
Migration is not a one-time provider swap. It is a move toward a multi-model architecture where Chinese LLM APIs can handle the workloads they fit best.