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LM Studio vs Private LLM

Two fact sheets from our own research, side by side — pricing, platforms, API access and status re-checked by us rather than quoted from the vendors.

The short answer

Entry price
LM Studio from $20/mo, Private LLM from $4.99 once — different billing units, so no direct winner
Free plan
Only LM Studio (Private LLM has paid plans only)
Public API
LM Studio has one; not confirmed by us for Private LLM
Higher Trust score
LM Studio — 91 vs 85 for Private LLM
Best fit
LM Studio: Developers testing open-weight models behind an OpenAI-compatible local endpoint · Private LLM: people who want a chat assistant that never sends text off the device

From our own records as of each tool's last check. Anything we have not confirmed is left out rather than guessed. How we verify

Side by side

FactLM StudioPrivate LLM
CategoryModel Hosting & InferenceGeneral-purpose AI Chatbots
Pricing modelFreemiumPaid
Starts at$20/mo$4.99 once
Public APIYesNot confirmed
Trust score91 / 10085 / 100
PlatformsmacOS, Windows, Linux, APIiOS, macOS
CompanyElement Labs, Inc.Numen Technologies Limited
Launched2023—
Last verifiedOct 2, 2026Sep 6, 2026

What our research says

LM Studio

The easiest graphical way to try open models on a laptop or workstation, with a built-in model browser, chat window and local API server. Bionic extends it into an agent, which is useful if you want open models to do real work, though it is newer than the core app. Teams that need centralized controls will have to wait for the organization plans that are still being rolled out.

Pros

  • Free for personal and work use with local models
  • Runs llama.cpp and MLX engines with a simple model browser
  • Local API server plus CLI and JS and Python SDKs
  • Cloud tier states zero data retention and US hosting

Cons

  • Closed-source desktop app, unlike some local-model runners
  • Large models still need a lot of memory and a good GPU or Apple Silicon
  • Bionic cloud plans are new and usage limits are described only loosely

Private LLM

The whole pitch is that inference happens on your device: no account, no upload, works with the network off, paid once instead of monthly. The model catalogue is wide and tuned for Apple silicon, and the Shortcuts and system text-service hooks make it useful beyond a chat window. Local models are still meaningfully weaker than hosted frontier models, and this is Apple-only.

Pros

  • Inference is on-device: no account, no upload, works in airplane mode
  • One-time price with Family Sharing for six instead of a recurring fee
  • Wide catalogue of quantised open-weight models tuned for Apple silicon
  • Hooks into Siri, Shortcuts, x-callback-url and macOS system text services

Cons

  • Apple platforms only, with no Windows, Linux, Android or web version
  • 1.4 GB install plus model downloads, and older devices are excluded (iOS 17 and A12 or newer)
  • Local models are noticeably weaker than hosted frontier models
  • App Store rating sits at 4.1, with reviewers flagging missing chat history that the vendor says arrives in v2

Which one fits

Choose LM Studio if you need

  • Developers testing open-weight models behind an OpenAI-compatible local endpoint
  • Privacy-conscious users who want chat and documents to stay on their own computer

Choose Private LLM if you need

  • people who want a chat assistant that never sends text off the device
  • Apple users tired of monthly assistant subscriptions
  • anyone automating text tasks through Shortcuts or Siri

LM Studio vs Private LLM: the questions people ask

Is LM Studio cheaper than Private LLM?

They charge in different units, so there is no like-for-like answer: LM Studio starts at $20/mo, Private LLM at $4.99 once. Entry price is the lowest paid plan as we last verified it.

Does LM Studio or Private LLM have a free tier?

LM Studio has a free tier; Private LLM has paid plans only.

Which has a public API, LM Studio or Private LLM?

LM Studio ships a public API, as of our last verification. A public API for Private LLM is not confirmed by us — check its developer docs before you plan an integration.

All LM Studio alternatives →Browse all Model Hosting & Inference →