LocalAI vs Xinference
Short answer
LocalAI: OpenAI-compatible API for LLMs, vision, voice and images on any hardware. Xinference: Model-serving platform for LLM, embedding, rerank, speech and image models behind one OpenAI-compatible API. Both are in our Local model runtimes category.
Choose LocalAI if you want: larger community (50.0k vs 9.6k GitHub stars).
LocalAI and Xinference publish no official RAM figure, so we cannot compare hosting cost directly.
Last updated · computed from each project's official docs and live GitHub data · sources
LocalAI vs Xinference side by side
| LocalAI | Xinference | |
|---|---|---|
| Category | Local model runtimes | Local model runtimes |
| What it is | OpenAI-compatible API for LLMs, vision, voice and images on any hardware. | Model-serving platform for LLM, embedding, rerank, speech and image models behind one OpenAI-compatible API. |
| License | MIT | Apache-2.0 |
| License type | Permissive | Permissive |
| License conditions | Permissive. Internal and commercial use allowed. Models keep their own licenses. | Permissive. Internal and commercial use allowed; keep the Apache-2.0 license and notices. Xinference Enterprise is a separate commercial edition. Models keep their own licenses. |
| Status | Active | Active |
| GitHub stars | 50.0k | 9.6k |
| Last commit | Oct 25, 2026 | Oct 26, 2026 |
| Latest release | v4.12.1 | v4.1.0 |
| Minimum hardware | Not published | Not published |
| Recommended hardware | Not published | Not published |
| RAM measured by us | Not tested yet | Not tested yet |
| GPU | Optional. Images exist for NVIDIA CUDA 12/13, AMD ROCm, Intel oneAPI and CPU-only. | The default Docker image requires an NVIDIA GPU (host CUDA 13.0 or newer, driver 580 or newer, NVIDIA Container Toolkit). For CPU, use the image tag with a -cpu suffix; pip installs on Apple Silicon can use the MLX engine. |
| Est. server cost | Not estimated | Not estimated |
| Deploy method | Docker | Docker |
| Known gotchas | 1 listed | 4 listed |
| Telemetry | Not documented | Not documented |
| Calls home by default | Not documented | Yes, by default |
| SSO (OIDC / SAML / LDAP) | Free (OIDC free) | Free (OIDC free) |
| Audit log | Not documented | Yes, free |
| RBAC | Yes, free | Yes, free |
| Details | Full LocalAI guide → | Full Xinference guide → |
Key differences
- License: LocalAI: MIT (Permissive). Xinference: Apache-2.0 (Permissive).
- GitHub stars: LocalAI: 50.0k. Xinference: 9.6k.
- Last commit: LocalAI: Oct 25, 2026. Xinference: Oct 26, 2026.
- Latest release: LocalAI: v4.12.1 (Oct 23, 2026). Xinference: v4.1.0 (Oct 25, 2026).
Same for both: Category: Local model runtimes; Official hardware: not published; GPU: optional / see notes; Est. server cost: not estimated (no official RAM figure); Deploy: Docker · single container; Status: Active.
LocalAI vs Xinference: FAQ
LocalAI or Xinference: which should a small business choose?
Choose LocalAI if you want: larger community (50.0k vs 9.6k GitHub stars). LocalAI and Xinference publish no official RAM figure, so we cannot compare hosting cost directly.
Which is cheaper to self-host, LocalAI or Xinference?
LocalAI: not estimated (no official RAM figure). Xinference: not estimated (no official RAM figure). Our estimate is the cheapest Hetzner Cloud plan that meets each project's official RAM and vCPU figure; it covers the server only.
How much hardware do LocalAI and Xinference need?
LocalAI: not published. Xinference: not published.
What is the license difference between LocalAI and Xinference?
LocalAI: MIT (Permissive). Permissive. Internal and commercial use allowed. Models keep their own licenses. Xinference: Apache-2.0 (Permissive). Permissive. Internal and commercial use allowed; keep the Apache-2.0 license and notices. Xinference Enterprise is a separate commercial edition. Models keep their own licenses. This is a summary, not legal advice.
Is LocalAI or Xinference more actively maintained?
LocalAI: Active, last commit Oct 25, 2026. Xinference: Active, last commit Oct 26, 2026. GitHub data refreshed Oct 26, 2026.
Which is easier to deploy, LocalAI or Xinference?
LocalAI installs via Docker (single container); Xinference via Docker (single container). LocalAI lists 1 known gotcha and Xinference lists 4; see each app page.
Related
- LocalAI self-hosting guide · Xinference self-hosting guide
- All LocalAI alternatives, ranked
- All Xinference alternatives, ranked
- GPUStack vs LocalAI
- GPUStack vs Xinference
- Jan vs LocalAI
- llama.cpp vs LocalAI
- llama.cpp vs Xinference
- LocalAI vs Ollama
- LocalAI vs vLLM
- Ollama vs Xinference
- vLLM vs Xinference
- Add a third app in the interactive comparison
Sources
- LocalAI GitHub repository: github.com/mudler/LocalAI
- LocalAI documentation, LocalAI hardware requirements, LocalAI deploy instructions: github.com/mudler/LocalAI#readme
- LocalAI license: github.com/mudler/LocalAI/blob/master/LICENSE
- Xinference GitHub repository: github.com/xorbitsai/inference
- Xinference documentation, Xinference hardware requirements, Xinference deploy instructions: inference.readthedocs.io/en/latest/getting_started/using_docker_image.html
- Xinference license: github.com/xorbitsai/inference/blob/main/LICENSE
- Hetzner Cloud pricing used for cost estimates (read 2026-10-26): www.hetzner.com/cloud/regular-performance
- GitHub REST API (stars, commits, releases): docs.github.com/en/rest
Every value is generated from the same verified data as the app pages. Spotted something wrong? Tell us.