HomeFree AI APIsLM Studio (local)
Free & local (unlimited)

LM Studio (local) free tier

The friendliest desktop app for running open models locally, with a built-in server.

● Endpoint responding · checked 2026-08-19
Free tier typeFree & local (unlimited)
What you get freeUnlimited local inference on your own hardware.
Credit cardNone — runs on your machine
SignupNo key needed — lmstudio.ai
API endpointhttp://localhost:1234/v1 (OpenAI-compatible)
Top free modelsAny GGUF open model — Llama, Qwen, Mistral, Gemma and more
Pairs with any OpenAI-compatible tool: start the local server, point your tool at localhost.

Copy-paste setup

Two things: the base URL above, and a free key from the provider's site. Pick your tool:

Any tool (environment variables)
export OPENAI_BASE_URL="http://localhost:1234/v1"
export OPENAI_API_KEY="your-key-here"
# then pick one of the provider's models in your tool
Cursor
Settings → Models → paste your key under the matching provider, or use 'Override OpenAI Base URL' with:
http://localhost:1234/v1
Codex CLI
# ~/.codex/config.toml
model_provider = "custom"
[model_providers.custom]
base_url = "http://localhost:1234/v1"
env_key = "OPENAI_API_KEY"
Claude Code
Claude Code natively speaks the Anthropic API. To use the providers on this page, point it at a router/gateway (e.g. an OpenAI-to-Anthropic proxy) configured with:
http://localhost:1234/v1
Cline / Roo / Continue (VS Code)
Choose 'OpenAI Compatible' as the provider, then paste:
Base URL: http://localhost:1234/v1
API key: your key
Model: one of the models listed on this page

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LM Studio (local) — FAQ

Is LM Studio (local) really free?

LM Studio (local) is listed in our index as: Free & local (unlimited). Unlimited local inference on your own hardware. We last probed its API endpoint on 2026-08-19. Always confirm current limits on the provider's own pricing page.

Does LM Studio (local) need a credit card?

None — runs on your machine. Signup: No key needed.

How do I use LM Studio (local) in my coding tool?

LM Studio (local) exposes an OpenAI-compatible endpoint (http://localhost:1234/v1). Paste that base URL plus your key into Cursor, Codex CLI, a Claude Code router, or any OpenAI-compatible tool — the snippets on this page are copy-paste ready.

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