Run BiOS is serverless inference for teams running large language models in production. It exposes an OpenAI-compatible API, so you can point the OpenAI SDK at Run BiOS and keep your existing code, authenticating with a standard Authorization: Bearer header.
Six model families run behind one API — Claude, DeepSeek, GLM, Kimi, MiniMax and Qwen — with context windows up to one million tokens. BiOS Adaptive routes each request for quality, speed and budget against a published price ceiling. Chat, completions, embeddings and rerank endpoints are supported.
Prompts and responses are held in memory and discarded when the request completes: no request logs, no content store, no archive.
Pricing is per million tokens from a pre-paid balance, starting at $0.10 per million input tokens, and an endpoint pauses rather than accruing debt if the balance runs out. Teams wanting their own weights can fine-tune with LoRA or QLoRA and deploy to dedicated GPU endpoints billed per second.