Multi-model AI applications need more than access to many models.

They need visibility.

A product may use GPT for support chat, Claude for reasoning, Gemini for multimodal tasks, DeepSeek for cost-sensitive workflows, Qwen or Kimi for coding and Chinese-language tasks, GLM for long-horizon work, and MiniMax or Doubao for other production use cases.

At first, this gives teams more flexibility.

But as the application grows, reliability becomes harder to understand.