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Xinference
Pricing
- Model
- Free
Summary
Xinference is a self-hosted inference platform that lets you run open-source language and multimodal models locally with an OpenAI-compatible API.
Xinference solves the problem of deploying multiple model types across heterogeneous infrastructure without vendor lock-in. You install it on your own hardware—laptop, on-premises servers, or cloud instances—point it at open-source models, and get an API that talks like OpenAI's, making it straightforward to swap in your own models without rewriting client code. The catch: you own the operational burden. Performance hinges on your hardware choices and which inference backend (vLLM, llama.cpp, etc.) you pair with each model. Setup requires more hands-on work than a managed service, and the community and docs lag behind more established inference platforms.
Bottom line: *Use when data cannot leave your infrastructure or you need multi-model serving in one system; skip if you want managed simplicity over control.*
Hosted & API Pricing
The model is free to self-host. These are the creator's hosted/API options.Xinference Cloud (Managed Service)
Hosted Xinference service with zero setup required
- Managed infrastructure
- Zero setup required
- Jupyter notebook access
Pricing may have changed since last verified. Check the official site for current plans.
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Pros
Sign in to edit- OpenAI-compatible API reduces migration effort from OpenAI services
- Supports multiple model types and inference backends in one platform
- Flexible deployment options: local, on-premises, cloud, or distributed
- Seamless third-party integration with LangChain, LlamaIndex, and others
- Production-ready with auto-batching and distributed inference support
Cons
Sign in to edit- Requires more setup and configuration compared to managed cloud services
- Performance depends heavily on hardware and chosen inference backend
- Documentation and community smaller than some established alternatives like vLLM
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About
- Platforms
- Linux, Windows, macOS; Docker; Kubernetes
- API Available
- Yes
- Self-Hosted
- Yes
- Last Updated
- 2026-05-06T08:16:07.397Z
Best For
Who it's for
- Organizations requiring data privacy and private model deployment
- Teams building multi-model inference systems
- Researchers experimenting with open-source models
- Enterprises seeking cost-effective LLM deployment
- Developers integrating models with existing frameworks like LangChain
What it does well
- Private language model deployment and inference
- Speech recognition and audio processing
- Multimodal model serving (text, image, audio, video)
- AI application development with LLM integration
- Distributed model inference across multiple machines
Integrations
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Frequently Asked Questions
- Is Xinference free?
- Yes — Xinference is fully free to use. There is no paid tier.
- Is Xinference open source?
- Yes. Xinference is open source — the source repository is at https://github.com/xorbitsai/inference.
- Does Xinference have an API?
- Yes. Xinference exposes a developer API. See the official documentation at https://xorbits.ai for details.
- Can I self-host Xinference?
- Yes. Xinference supports self-hosting on your own infrastructure.
- What platforms does Xinference support?
- Xinference is available on: Linux, Windows, macOS; Docker; Kubernetes.
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