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Best Ways to Run Local AI Models Behind an OpenAI-Compatible API in 2026 (No API Key, No Cloud)

Point your OpenAI code at your own computer and get chat, images, speech and embeddings free. Off Grid AI, Ollama, LM Studio, llama.cpp, vLLM, Jan ranked.

On this page
  1. How we ranked
  2. The ranking at a glance
  3. 1. Off Grid AI Desktop
  4. 2. Ollama
  5. 3. LM Studio
  6. 4. llama.cpp (llama-server)
  7. 5. vLLM
  8. 6. Jan
  9. Which one should you pick
  10. FAQ
  11. Related guides

The best way to run local AI models behind an OpenAI-compatible API in 2026 is Off Grid AI Desktop (OGAD), because one free app puts chat, images, speech and embeddings behind a single address your OpenAI code already knows how to call. Point your base_url at http://127.0.0.1:7878/v1. You don’t need an account, and on your own computer you don’t need a real key. It’s free, and if you later want meetings, memory, dictation and sync too, Pro is $34.99 once.

Download Off Grid AI · See the desktop app

We make Off Grid AI, so weigh our pick with that in mind. Every fact about the other five comes from their own docs, checked 14 November 2026.

Off Grid AI Desktop Gateway screen showing the base URL http://127.0.0.1:7878/v1, a curl example, and endpoints for chat, text to image, speech to text, text to speech, embeddings and models.
The Gateway screen. One base URL, code you can copy, and every endpoint the app serves.

How we ranked

  1. What sits behind one OpenAI address. Chat, embeddings, images and speech, so your app needs one client.
  2. Setup on one computer. How fast you get from install to a working base_url.
  3. Sharing. Network access, API keys and several models loaded at once.
  4. Cost and licence. What it costs to run, and the licence you ship under.

The ranking at a glance

  Local address OpenAI routes on its own docs Images route Platforms Licence and cost
1. Off Grid AI Desktop 127.0.0.1:7878/v1 Chat with vision, completions, embeddings, transcriptions, speech, images, models Yes Mac (Apple silicon), Windows x64, Linux x64 Free, AGPL-3.0
2. Ollama localhost:11434/v1 Chat, completions, embeddings, responses, speech, transcriptions, translations, models Not listed macOS, Windows, Linux Free, MIT
3. LM Studio localhost:1234/v1 in its examples Chat with images, completions, embeddings, responses, models Not listed Apple silicon Mac, Windows x64 and ARM, Linux x64 and ARM64 Free, including at work
4. llama.cpp (llama-server) 127.0.0.1:9931 Chat, completions, responses, embeddings, rerank, speech for audio models Not listed Any; Metal, CUDA, HIP, Vulkan, SYCL, CPU Free, MIT
5. vLLM localhost:8000/v1 in its examples Chat, completions, responses, embeddings, transcriptions, translations Not listed NVIDIA, AMD, Intel GPUs; Apple silicon via vLLM-Metal; CPU Free, Apache-2.0
6. Jan 127.0.0.1:1337/v1 Chat completions documented Not listed Windows, macOS, Linux Free, Apache 2.0

Rival facts come from each project’s own docs, README or site, linked in its section. “Not listed” means its own pages don’t list it. Off Grid AI Pro is optional and paid once, at $34.99.

1. Off Grid AI Desktop

What it is. OGAD is a chat app with a model gateway built in. The gateway serves /v1/chat/completions (with images for vision models), /v1/embeddings, /v1/audio/transcriptions (whisper.cpp), /v1/audio/speech (Kokoro), /v1/images/generations and /v1/images/edits. The Gateway screen shows the base URL, curl, Python and JavaScript you can copy, and a playground at /docs where you can try each route.

curl http://127.0.0.1:7878/v1/chat/completions \
  -H "Content-Type: application/json" \
  -d '{"model": "local", "messages": [{"role": "user", "content": "Hello"}]}'

"model": "local" uses whichever chat model you picked in the app, and any OpenAI SDK works with a placeholder key.

The gateway also does this:

  • Keep loaded. Tick several chat models on the Gateway screen. A memory bar shows what fits, and a request that names a kept model goes straight to it.
  • Team mode and keys. Switch Clients from Just me to Team and one computer answers several requests at once, while extra ones wait in line. You can create one API key per person, with an expiry. See how to run a local AI server for your whole team.
  • Long jobs and MCP. Add ?async=true and you get HTTP 202 with a poll_url, so a slow image render doesn’t hold a connection open. See long local API requests. The same port serves MCP at /mcp, with tools such as generate_text, generate_image and transcribe_audio.

Best for. You want every kind of model behind one OpenAI address, with an app to manage them and no terminal setup.

Price. Free. Chat, images, speech, embeddings, Team mode, keys and MCP are all in the free app. Pro is optional at $34.99 once, a limited-time price down from $119, or $7.99 a month, and only the gateway’s video, search and writing routes need it.

The catch. It’s one app on one computer, so it won’t replace a GPU cluster server. The Mac build needs Apple silicon, and Linux needs Ubuntu 24.04 or newer. The gateway listens on your network as well as 127.0.0.1, and keys are off until you turn them on, so turn them on before you share your Wi-Fi. Each model downloads once over the internet, and after that your requests run offline.

2. Ollama

What it is. A small, MIT-licensed runtime with a CLI and an app. Its OpenAI compatibility docs list chat, completions, embeddings, responses, speech, transcriptions and translations at localhost:11434/v1. The local server doesn’t check the key.

Best for. Developers whose tools already have an Ollama setting.

Price. Free on your own hardware (MIT). The latest release is v0.40.16, from 9 November 2026.

The catch. Image generation is “experimental” and macOS only, and the compatibility page lists no images route. Network access needs OLLAMA_HOST, and its FAQ describes no auth for the local server. See Off Grid AI vs Ollama.

3. LM Studio

What it is. A polished desktop app that runs models on llama.cpp and MLX. Its OpenAI-compatible endpoints cover chat with images, completions, embeddings, responses and models. You start the server from the Developer tab or with lms server start.

Best for. MLX on an Apple silicon Mac, and Windows on ARM. Serve on Local Network and API tokens are built in.

Price. Free for use at work. Its paid plans (Bionic+ at $20 a month, Pro at $100 a month) are for its hosted models.

The catch. It lists no image or speech routes. Macs need Apple silicon and macOS 14 (system requirements).

4. llama.cpp (llama-server)

What it is. The engine many of these apps run on. Its server README lists chat, completions, responses, embeddings and rerank, plus /v1/audio/speech for models that make audio. It listens on 127.0.0.1:9931 by default, takes --api-key, and has a router mode that loads up to 4 models by default.

Best for. The smallest setup with the most control. It runs on Metal, CUDA, HIP, Vulkan, SYCL and plain CPUs (README).

Price. Free under MIT. v1.0.0 shipped on 13 November 2026.

The catch. You pick the flags and models yourself. Multimodal input is marked experimental, and there’s no image generation route.

5. vLLM

What it is. A serving engine for GPUs. vllm serve <model> exposes chat, completions, responses, embeddings, transcriptions and translations (docs).

Best for. Many users on multi-GPU servers. It splits a model with --tensor-parallel-size and --pipeline-parallel-size, across nodes too (parallelism docs). For production serving at scale, pick vLLM over everything else here.

Price. Free under Apache-2.0.

The catch. It’s built for GPU servers, so expect a terminal and flags rather than an app. Its docs say --api-key covers only some path prefixes and suggest a reverse proxy. It lists no image or text to speech routes.

6. Jan

What it is. A desktop chat app with a local API server at 127.0.0.1:1337/v1, an optional key and MCP support (README).

Best for. Simple local chat with an API on the side.

Price. Free. Its README says Apache 2.0.

The catch. Its API page documents only chat completions, with no embeddings, image or audio routes listed.

Which one should you pick

  • You want chat, images, speech and embeddings at one local address, with an app: Off Grid AI Desktop.
  • Your tools already have an Ollama setting: Ollama.
  • You want MLX on a Mac or a polished model browser: LM Studio.
  • You want the least software between you and the model: llama-server.
  • You serve many users on multi-GPU machines: vLLM. Off Grid AI isn’t the right tool for that.
  • You only need local chat with a basic API: Jan.

If you’d like to try the gateway before you write any code, read how to test the local API.

Everything in one app

Most apps on this page do one job. Off Grid AI does all of these, on your own computer and phone, in one app.

Free, on every device

  • Local chat with open models, no account
  • Answers from your files, with the source shown
  • Images made on your own GPU
  • Voice in and out
  • A local API for your own tools
  • iPhone and Android with on-device models

Pro, $34.99 once

  • Memory of your screens, meetings, mail and docs
  • Meetings recorded without a bot, summarised locally
  • Dictation into any app on your computer
  • Actions in Gmail, Linear, Jira and Notion, only with your yes
  • God, a chief of staff that briefs you and preps your meetings
  • Web Use and Computer Use for tasks in your own browser and apps
  • Reflect: where your time went, by project and person
  • Vault, Clipboard and Sync on up to 5 devices

They work together

  • A call becomes a transcript. Its decisions become to-dos. The follow-up email waits in Actions for your yes.
  • God's morning brief draws on all of it: yesterday's screens, today's meetings, what people owe you.
  • Vault fills logins in the same browser where Web Use runs a task, so the agent signs in and your password never goes to a model.

That is a notetaker, a dictation app, a time tracker, a password manager, a clipboard manager and an AI assistant, for one price. Get Pro for $34.99 once

FAQ

How do I run open AI models locally and use them from my own apps without an API key? Run a local server that speaks the OpenAI API and point your app’s base_url at it. Off Grid AI Desktop does this at http://127.0.0.1:7878/v1 for chat, images, speech and embeddings. Ollama, LM Studio, llama-server, vLLM and Jan also serve OpenAI-compatible routes, and none of them needs a key on your own computer.

Which local OpenAI-compatible server can generate images? Off Grid AI Desktop serves /v1/images/generations and /v1/images/edits on Mac, Windows and Linux. Ollama’s image generation is experimental and macOS only, and its OpenAI compatibility page lists no images route. LM Studio, llama-server, vLLM and Jan don’t list one.

What is the best way to serve a local model to many users on GPUs? vLLM. It’s built for serving, with tensor, pipeline and data parallelism across GPUs and nodes. Off Grid AI Desktop’s Team mode suits a small team sharing one computer.

Can other computers on my network use the local API? Yes. Off Grid AI Desktop listens on port 7878 on your network and keys are off until you turn them on, so turn on API keys in Gateway before you share the address. Ollama needs OLLAMA_HOST, LM Studio has Serve on Local Network, and Jan and llama-server take a host setting.

Is the Off Grid AI local API free? Yes. Chat, images, speech, transcription, embeddings, Team mode, API keys and the MCP server are all in the free app. Only the video, search and writing routes need Pro.

What does a local OpenAI-compatible API cost over three years? Nothing, for any of these on your own computer. Off Grid AI Desktop, Ollama, LM Studio, llama.cpp, vLLM and Jan are free. LM Studio’s paid plans are for its hosted models, and Bionic+ at $20 a month is $720 over three years. If you later want the rest of Off Grid AI, Pro is $34.99 once, and the same key covers the gateway’s video, search and writing routes, meetings recorded without a bot, dictation into any app and Memory of your screens and docs.

Download Off Grid AI and point your OpenAI code at http://127.0.0.1:7878/v1 today.

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