Assistant

Lmstudio.ai

Desktop app to run open LLMs locally, with an agent for document editing, coding, and voice transcription

lmstudio.ai

Verified API available Free tier ~3k monthly visits

Quick facts
What is it	Desktop app to run open LLMs locally, with an agent for document editing, coding, and voice transcription
Pricing	Freemium
Free tier	Yes
Platform	Desktop Application
API	Yes
Best for	creating and editing documents with an AI agent, coding tasks and automations
Domain registered	2023

Data updated Sept. 19, 2026

What does Lmstudio.ai do?

Lmstudio.ai is a desktop app for running open-source language models locally. It includes Bionic, an agent that can create and edit documents, write code, run automations, and control your computer. You download models inside the app and chat with them or hand them tasks. Everything runs on your machine, so your data doesn't leave your device.

The agent mode is the big addition. Bionic works on documents and saves every change automatically, so you can ask for edits and review them as you go. It also handles coding tasks and computer control. Voice input is transcribed in real time and processed locally, with support for multiple languages. The app is built on the Lmstudio.ai runtime with MLX and llama.cpp under the hood, and it can run frontier open models like GLM 5.2, Kimi K3, and DeepSeek V4 Pro. Its cloud services use Zero Data Retention.

Developers get a local coding assistant that can run automations. Writers and office workers can use the agent to draft and edit documents without sending content to the cloud. Privacy-conscious users will appreciate that models and voice data stay on-device. If you want to experiment with open models or get real work done with an agent, Lmstudio.ai is a solid choice.

Assistant Automation Documents Generator Productivity Tools

Key features

What makes it stand out

Bionic agent creates and edits documents, auto-saving every change so you can review as you go

Handles coding tasks, automations, and computer control from natural language prompts

Real-time voice transcription runs locally and supports multiple languages

Download and run the latest open LLMs directly inside the app

Can run frontier open models like GLM 5.2, Kimi K3, and DeepSeek V4 Pro

Who is Lmstudio.ai for?

Who benefits most from this tool

creating and editing documents with an AI agent

coding tasks and automations

local voice transcription

Pricing

Free tier available — start without a credit card

Free

Bionic Agent
Run the latest local LLMs using llama.cpp and MLX
State-of-the-art offline voice transcription
Web search tool* (with ZDR)
LM Link for up to 5 devices

Pay as you go

Custom

1.5 GLM-5.2 input per 1M tokens
1.4 GLM-5.3 input per 1M tokens
3 Kimi K3 input per 1M tokens
0.3 GLM-5.2 cached per 1M tokens
4.5 GLM-5.2 output per 1M tokens
0.14 GLM-5.3 cached per 1M tokens
4.4 GLM-5.3 output per 1M tokens
0.3 Kimi K3 cached per 1M tokens
15 Kimi K3 output per 1M tokens
0.95 Kimi K2.6 input per 1M tokens
0.16 Kimi K2.6 cached per 1M tokens
4 Kimi K2.6 output per 1M tokens
0.15 GLM-5.3-Flash input per 1M tokens
0.03 GLM-5.3-Flash cached per 1M tokens
0.5 GLM-5.3-Flash output per 1M tokens
0.95 Kimi-K2.7-Code input per 1M tokens
1.74 DeepSeek V4 Pro input per 1M tokens
0.16 Kimi-K2.7-Code cached per 1M tokens
4 Kimi-K2.7-Code output per 1M tokens
0.15 DeepSeek V4 Pro cached per 1M tokens
3.48 DeepSeek V4 Pro output per 1M tokens
0.13 DeepSeek V4 Flash input per 1M tokens
0.028 DeepSeek V4 Flash cached per 1M tokens
0.26 DeepSeek V4 Flash output per 1M tokens
1.32 DeepSeek V4 Pro 0813 input per 1M tokens
0.132 DeepSeek V4 Pro 0813 cached per 1M tokens
3.96 DeepSeek V4 Pro 0813 output per 1M tokens
GLM-5.3-Flash
Kimi K3
DeepSeek V4 Flash
DeepSeek V4 Pro
DeepSeek V4 Pro 0813
GLM-5.2
GLM-5.3
Kimi K2.6
Kimi-K2.7-Code

Trust & presence

Domain Domain registered 2023

Gallery

Click any image to enlarge

Lmstudio.ai — pricing page — Pricing page

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LM Studio Chatbot

🤖 • Run LLMs on your laptop, entirely offline 📚 • Chat with your local documents 👾 • Use models through the in-app Chat UI or an OpenAI compatible local server