Can idapt use the models I downloaded in LM Studio?

idapt's local lane runs through Ollama, which manages its own model store: install Ollama, pull the same open models, and pair the machine. The hardware-fit filter then shows exactly what it can serve.

Do local chats cost anything?

Local requests run on your own hardware with no per-token price; the free tier includes 1000 local requests per rolling 30 days.

All comparisons

Comparison

idapt vs LM Studio

LM Studio is the desktop lab for running models locally. idapt puts local models and the cloud catalog in one workspace.

Last reviewed July 16, 2026

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At a glance

LM Studioidapt

Local modelsFirst-class: GGUF and MLX, hardware-aware downloadsFirst-class via Ollama, with a hardware-fit filter

Cloud modelsNot the product200+ models with routing, failover, and one bill

Hybrid routingLocal onlyPrefer-local with automatic cloud fallback in one chat

Developer endpointA local OpenAI-compatible serverA hosted OpenAI-, Anthropic-, and OpenRouter-compatible gateway

WorkspaceA chat UI over your local modelsDrive, agents, computers, automations around the chat

What LM Studio is great at

The best desktop experience for local models: browse and download quantizations with hardware guidance, chat against them, and serve a local OpenAI-compatible endpoint. For tinkerers comparing quants and runtimes (MLX on Apple Silicon, GGUF everywhere), it offers real control with zero cloud involvement.

What you also get with idapt

Local as a lane instead of a location: models on your machine route through Ollama beside the full cloud catalog, and the prefer-local toggle keeps what fits on your hardware while falling back to the cloud when a job outgrows it, in the same conversation. Files persist in Drive, agents act on them, and cited web search grounds the answers.

The verdict

Stay with LM Studio if…

You want a desktop lab for local models: comparing quantizations, testing runtimes, serving a local endpoint.

Choose idapt if…

You want local inference as one lane of a real workspace, with the frontier catalog, files, and agents in the same conversation.

Frequently asked

Explore the features

Local AI

Run open models on your own hardware with Ollama: private, free, no rate limits.

Computers

Daemon-connected machines with real filesystems and agent-friendly controls.

Multi-Model Chat

GPT, Claude, Gemini, Grok, Llama: pick mid-conversation, cheapest-first.

AI Gateway

OpenAI-, Anthropic-, and OpenRouter-compatible endpoints with routing you control.

Switching from LM Studio?The migration guide shows exactly what moves and how.

More comparisons

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