A startup CTO evaluated four Chinese AI model families—DeepSeek, Qwen, Kimi, and GLM—using real production traffic routed through a unified Global API endpoint. The goal was to reduce API costs, mitigate vendor lock-in risk, and maintain quality for various workloads including chat, code generation, reasoning, and multimodal tasks. DeepSeek emerged as the preferred default for typical startup workloads due to its unmatched price-to-performance ratio at $0.25 per million output tokens, delivering 90% of the quality of much more expensive Western models. Qwen offered the broadest model range and multimodal capabilities, suitable for tiered routing architectures. Kimi excelled in reasoning quality but was costlier and slower, making it suitable for specialized deep reasoning tasks. GLM was the best for Chinese language workloads and offered the cheapest production-quality model at $0.01/M. All models supported OpenAI-compatible APIs, enabling drop-in integration with existing codebases and infrastructure.

Jun 4, 2026, 4:00 PM