EmpirioLabs AI

The next model you want to try always seems to belong to a company your app has no account with, and that formats requests a little differently. Behind a single API, EmpirioLabs AI gathers models from Qwen, DeepSeek, Google, MiniMax and others, more than 200 by the docs' count. Apps already written for OpenAI or Anthropic can send their requests here in the format they already use.

Open-source models in the catalog run on GPU servers the company manages. Commercial ones, for example Kling's video models, are passed through as "proprietary endpoints" with extra formatting and templates. A usage log lists each call with its cost and its count of tokens, the small pieces a model splits text into.

Aplomb 1, the company's own first model, answers questions with a decision instead of a written reply. It returns yes or no, a pick from a list, a score or an agent's next tool, each with a probability. The model is built on Qwen3.5-4B, with open weights on Hugging Face. The launch post says it reads a million tokens in about three seconds.

The homepage promises that what you send and what comes back stays out of logs and out of training. Beyond the API, the platform rents GPU servers and clusters with storage. It also runs private OpenClaw and Hermes agents that talk to people in chat apps like Telegram and Slack. A browser playground with ready-made templates lets people try the models without writing code.