Ollama vs LocalAI
Last verified · repository stats fetched 19 Oct 2026
Both are MIT-licensed and let you run open language models on your own hardware, then call them through an OpenAI-compatible API. Ollama focuses on downloading and running models with one command on macOS, Windows or Linux. LocalAI aims to be a drop-in replacement for several AI APIs at once, covering text, voice, vision, images and video through engines it installs as needed.
| Ollama | LocalAI | |
|---|---|---|
| Licence | MIT Open source (permissive) | MIT Open source (permissive) |
| Source code | GitHub | GitHub |
| ★ Stars | 184k 183,793 | 49.6k 49,628 |
| Last commit | 18 Oct 2026 | 19 Oct 2026 |
| Runs with | Docker, Python | Docker, Kubernetes |
| Docker | Yes awesome-selfhosted lists Docker as a way to deploy it. | Yes awesome-selfhosted lists Docker as a way to deploy it. |
| Install | macOS, Windows, Linux (install script); Docker | Binary, Docker/Podman, macOS DMG, Kubernetes (Helm) |
| Beyond chat | Vision and embeddings via the API | Voice, transcription, vision, images, video, music |
| Self-hosted alternative to | ChatGPT | — |
Key differences
- Ollama installs on macOS, Linux and Windows with a one-line install script. (ollama.com/download)
- Ollama supports a subset of the OpenAI API: chat completions, completions, embeddings, model listing and the non-stateful Responses API. You point an OpenAI client at http://localhost:11434/v1/. (docs.ollama.com/api/openai-compatibility)
- LocalAI offers an OpenAI-compatible API and says it also speaks the Anthropic, Ollama and ElevenLabs APIs, so many existing clients only need a URL change. (localai.io)
- LocalAI covers more than text: transcription, speech synthesis and voice cloning, vision, and image, video and music generation, each through a backend downloaded only when a model needs it. (localai.io)
- LocalAI ships as a single binary, a Docker or Podman container, a macOS DMG or a Kubernetes Helm chart, and says every feature has a CPU path, so a GPU is optional. (localai.io)
- Ollama also offers cloud models that run on Ollama's servers (most need a paid plan or credits), so if everything must stay local, check that you're calling a local model. (ollama.com/download)
Which should you pick?
- Ollama: Pick Ollama if you want the quickest way to run chat and coding models on your own computer and plug them into apps that accept an OpenAI-style endpoint.
- LocalAI: Pick LocalAI if you need one self-hosted endpoint for several kinds of AI (text, speech, transcription, images) or want to reuse clients written for other vendors' APIs, and don't mind a bigger system to configure.
This verdict is based on the documented facts above, not on hands-on testing.
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Sources: ollama.com/download · docs.ollama.com/api/openai-compatibility · localai.io · github.com/awesome-selfhosted/awesome-selfhosted-data/blob/master/software/ollama.yml · github.com/awesome-selfhosted/awesome-selfhosted-data/blob/master/software/localai.yml. Stars and last-commit dates come from each project's public repository. “Not available” or “Not documented” means we found no official source for it, not that the feature is missing.