Cherry Studio vs LM Studio
A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.
Tagline
Cherry Studio
Open-source desktop AI client that wires 300+ LLMs into one chat, knowledge-base, and agent workspace.LM Studio
Desktop app for discovering, downloading, and running open-weight LLMs locally with an OpenAI-compatible server.Pricing
Cherry Studio
FreeΒ· Free and open source; bring your own API keysLM Studio
FreemiumΒ· Free: $0Free trial
Cherry Studio
YesLM Studio
YesAPI
Cherry Studio
Not listedLM Studio
YesPlatforms
Cherry Studio
macoslinux
LM Studio
macoslinuxcliapi
Open source
Cherry Studio
Yes Β· AGPL-3.0LM Studio
Not listedGitHub stars
Cherry Studio
52,247
checked 2026-09-29
LM Studio
βLast GitHub push
Cherry Studio
2026-09-29LM Studio
βFirst commit
Cherry Studio
2024-05LM Studio
βModel used
Cherry Studio
Multi-modelLM Studio
Multi-model (gpt-oss, Qwen3, Gemma, DeepSeek-R1, Llama, others)Best for
Cherry Studio
Pick Cherry Studio if you already pay for several model APIs and want one local desktop app to drive them, with a knowledge base and agents bolted on.LM Studio
Pick LM Studio if you want the fastest path from 'I have a laptop' to 'I have a private OpenAI-compatible endpoint serving Qwen or gpt-oss.'Not for
Cherry Studio
Skip it if you want a hosted, account-based chat with team sharing, or a single-vendor experience like ChatGPT or Claude.ai out of the box.LM Studio
Skip it if you need cloud-scale throughput, multi-tenant serving, or a fully open-source stack you can audit end-to-end.Editorial score
Cherry Studio
7.2 / 10LM Studio
8.3 / 10Use cases
Cherry Studio
multi-model chatlocal knowledge baseai agentstranslationai drawingmcp client
LM Studio
local-llm-inferenceprivate-chatopenai-compatible-apimcp-tool-useoffline-development
Pros
Cherry Studio
- Single client for 300+ models from 50+ providers including local Ollama/LM Studio
- Built-in RAG knowledge base over your own documents
- Fully open source (AGPL-3.0) with a very active GitHub repo
- Cross-platform Electron desktop app, no cloud account required
- Supports MCP servers and 300+ pre-built assistant presets
LM Studio
- One-click download and run for most popular open-weight LLMs
- OpenAI-compatible local server drops into existing SDK code
- Native Apple MLX path gives strong throughput on M-series Macs
- Headless llmster + lms CLI extend it to servers and CI
- Free for commercial use, including inside companies
Cons
Cherry Studio
- Documentation and site are Chinese-first; English is a second-class citizen
- BYO-API-key model means real usage cost lives with the upstream providers
- AGPL-3.0 license makes commercial forks awkward
- No native cloud sync of chats or knowledge bases across devices
LM Studio
- Closed-source desktop app despite open runtimes underneath
- Performance is gated by your local GPU/RAM, not the software
- No built-in fine-tuning or training workflow
- Enterprise management features locked behind paid tier
Editorial score: rule-based, 0β10, from AI-assisted profile inputs (see /methodology) β not a user rating; βββ means unscored. βNot listedβ means we have no record of it, not that it is absent. GitHub figures and prices carry the date they were checked or captured; prices are shown as published, unconverted.
Pick Cherry Studio if
- β Single client for 300+ models from 50+ providers including local Ollama/LM Studio
- β Built-in RAG knowledge base over your own documents
- β Fully open source (AGPL-3.0) with a very active GitHub repo
- β Cross-platform Electron desktop app, no cloud account required
Pick LM Studio if
- β One-click download and run for most popular open-weight LLMs
- β OpenAI-compatible local server drops into existing SDK code
- β Native Apple MLX path gives strong throughput on M-series Macs
- β Headless llmster + lms CLI extend it to servers and CI