LiteLLM provides a way to call more than 100 language models through an OpenAI-compatible interface.
Chutes
Chutes provides serverless compute for deploying, running, and scaling AI models through its platform and API.
About Chutes
Chutes provides serverless compute for deploying, running, and scaling AI models. Models can be used directly through its platform, including Chutes Chat, or accessed programmatically through its API. It supports inference for open-source text models as well as image, video, speech, and music models. Users can also bring their own code to run an open model, use embedding models, content moderation, ephemeral and batch jobs, and TEE compute described as isolated.
Key features
- Run inference on open-source LLMs via platform or API
- Deploy custom open models with user-provided code
- Support for image, video, speech, and music models
- Embedding models for search and recommendation use
- Content moderation for hate speech and NSFW content
- TEE compute described as private and isolated
Best for: Developers who need to deploy and scale open-source AI models in products.
Good for
- Provides new open-source models soon after release
- Covers text, image, video, speech, and music models
- Allows running custom open models with user-provided code
Chutes at a glance
- Website
- chutes.ai
- Type
- Website
- Pricing
- Not confirmed. Check the site
- Platforms
- Web
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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Chutes FAQ
How do I call a model through the API?
Send a POST request to https://llm.chutes.ai/v1/chat/completions with an authorization header containing a CHUTES_API_KEY and a JSON payload specifying model, messages, and stream settings.
Can I run my own model on Chutes?
Yes, the site states users can bring their own code to run any open model.
What types of models are available?
Text LLMs plus image, video, speech, and music models, as well as embedding and content moderation models.
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