AI model runtime

Run local and cloud language models through one practical gateway.

OpenModel helps builders download, run, and serve AI models with a gateway-first CLI. It is designed for local inference, compatible API access, and clearer visibility into usage, telemetry, tokens, and cost.

What it does

Focused capabilities, without a complicated surface.

A consistent model layer for local experimentation, application integration, and cost-aware AI development.

01

Run models locally

Download and start supported language models from a consistent CLI.

02

Serve compatible APIs

Expose model access through OpenAI- and Ollama-compatible interfaces.

03

Bridge local and cloud

Use one practical model layer across local runtimes and cloud-backed workflows.

04

Watch usage and cost

Keep telemetry, token usage, and model economics visible while you build.

Typical workflow

From intent to a working outcome.

A short, inspectable path for using OpenModel in real work.

  1. 01
    Choose a local or cloud model.
  2. 02
    Start it through the OpenModel CLI.
  3. 03
    Connect with a compatible API client.
  4. 04
    Track usage and adjust the runtime.
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Run models locally or connect compatible clients through a consistent model interface.

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