Cherry Studio is live · free plan; paid plans on request · last verified 20 Oct 2026 · viability healthy
Cherry Studio
Cherry Studio is a free, open-source desktop AI workbench that runs models from 50+ cloud providers and local deployments in one window
If you already hold keys for three or four providers, Cherry Studio earns its disk space. 一问多答 puts the same prompt in front of several models at once, 模型自动获取 pulls a provider's full model list with one click, and 多秘钥轮询 rotates keys so a single rate limit does not stall your session — that combination removes most tab-hopping. The 智能体 workspace with MCP, Skills, Channels and Scheduled Tasks pushes it past a chat UI. The tradeoff is structural: the docs describe a single-user desktop tool with no shared workspaces or admin layer, so it stays personal. Compare it to typing at provider web consoles (free but one model at a time) or a bundled subscription that hides model choice. Read the
Verdict generatedVerified 25d ago · liveness 82/100 · cite: rightaichoice.com/tools/cherry-studio
- Solo AI power users holding keys for several providers and wanting one window
- Developers comparing model outputs on the same prompt side by side
- Privacy-conscious users running local models with data kept on-device
- Researchers and analysts building personal knowledge bases from documents and web pages
- Teams needing shared workspaces or shared conversation history
- Buyers who want a bundled subscription instead of managing their own API keys
- Organizations requiring SSO, role permissions or compliance administration
We scan live Reddit threads, YouTube comments, X posts, G2 reviews and other communities — and hand you an honest verdict in under a minute.
- Honest verdict, not marketing
- Real pros & cons from real users
- Attributed quotes with receipts
3 free scans · no card needed
Skip Cherry Studio if you need shared team workspaces, SSO or admin permissions — the docs describe a single-user desktop tool where every person manages their own keys and local data.
You pay each provider directly for tokens; several providers wired into one window means several separate bills to track each month.
The community desktop client is free under AGPL-3.0, so the real budget question is what you spend on provider tokens — one key each for OpenAI, Anthropic, Gemini and DeepSeek adds up fast, and a single bundled subscription can be cheaper if you only ever use one model. For solo users with several keys it is the cheapest way to get model variety; commercial deployment needs the separately licensed Enterprise edition.
In short
Cherry Studio — Cherry Studio is a free, open-source desktop AI workbench that runs models from 50+ cloud providers and local deployments in one window. Best for Solo AI power users holding keys for several providers and wanting one window, Developers comparing model outputs on the same prompt side by side, Privacy-conscious users running local models with data kept on-device. Free to start; it also has paid plans whose price we could not confirm — see the pricing table.
What is Cherry Studio?
Cherry Studio — Cherry Studio is a free, open-source desktop AI workbench that runs models from 50+ cloud providers and local deployments in one window. Best for Solo AI power users holding keys for several providers and wanting one window, Developers comparing model outputs on the same prompt side by side, Privacy-conscious users running local models with data kept on-device. Free to start; it also has paid plans whose price we could not confirm — see the pricing table.
Cherry Studio is a cross-platform desktop AI client for Windows, macOS and Linux that combines multi-model chat, agents, a local knowledge base, AI drawing and translation in a single application. It connects to 50+ providers — OpenAI, Gemini, Anthropic, Azure OpenAI, DeepSeek, Kimi, Qwen, GLM, MiniMax, Doubao — plus compatible third-party endpoints and local model deployments for offline work. Ask one question and several models answer side by side so you can compare which output is usable. The 智能体 (Agent) workspace reads files, runs commands and completes multi-step tasks, and MCP support extends that reach to databases, Notion, GitHub and other external services. 技能 (Skills) packages add ready-made abilities such as Xiaohongshu image-text posts or flowchart generation, while 频道 (Channels) posts an agent into Feishu, WeChat, Telegram or Discord as a group bot and 定时任务 (Scheduled Tasks) runs recurring jobs like a daily news brief. The local knowledge base imports PDF, DOCX, PPTX, XLSX, TXT and Markdown files as well as web pages and sitemaps, then answers questions grounded in what you imported, with a retrieval test view so you can check chunking before you trust it. Beyond chat, the app offers a dedicated AI drawing panel, a translation panel plus in-conversation and prompt translation, a built-in Markdown notes editor, unified file management, global search, Mermaid diagram rendering, formula rendering and live HTML preview. A 划词助手 floating toolbar translates, explains, optimizes or summarizes text you highlight in any other app, and 快捷问答 pulls up a quick-answer assistant over whatever you are doing. Data stays on your device — the app supports fully local setups with local models — and backs up locally, on a schedule, or via WebDAV for multi-device sync. It suits solo power users, developers and researchers who hold several API keys, and Chinese-language users who want DeepSeek, Kimi, Qwen and GLM next to Western models. It is not a team product: nothing in the documentation describes shared workspaces, multi-user permissions or admin controls.
Key features
- 一问多答: same prompt answered by multiple models side by side
- One-click model list retrieval from OpenAI, Gemini and Anthropic-compatible endpoints
- Multi-key rotation per provider to work around rate limits
- Custom providers following OpenAI, Gemini or Anthropic API conventions
- Local model deployment for fully offline runs
- Agent workspace (工作) that reads files, runs commands and completes multi-step tasks
- Skills: packaged ability add-ons for assistants and agents
- MCP (Model Context Protocol) support for databases, Notion, GitHub and other external tools
- Channels: deploy agents as group bots in Feishu, WeChat, Telegram and Discord
- Scheduled tasks for recurring agent runs such as daily briefs and weekly summaries
- Local knowledge base importing PDF, DOCX, PPTX, XLSX, TXT and Markdown
- Knowledge base sources from local files, URLs, sitemaps and typed text, with export
- Retrieval test view showing knowledge base chunking results
- AI drawing panel generating images from natural-language descriptions
- Translation panel, in-conversation translation and prompt translation
Behind the verdict
Cherry Studio's case rests on model aggregation done thoroughly rather than on a proprietary model. The docs list OpenAI, Gemini, Anthropic and Azure as first-class providers, one-click retrieval of a provider's full model list, multi-key rotation per provider, precise per-model avatar matching and custom providers that follow the OpenAI, Gemini or Anthropic API conventions. If a provider speaks one of those protocols, you can probably wire it in. Pair that with local model deployment for offline work and you get a client that is genuinely provider-agnostic — unusual, and the reason people keep it installed. The automation layer is where it has grown past a chat client. The 工作 (Work) page agents read files, run commands and carry out multi-step tasks. Skills attach packaged abilities to an assistant or agent — the docs name Xiaohongshu image-text posts and flowchart diagrams as examples. MCP connects to databases, Notion and GitHub. Channels post an agent into Feishu, WeChat, Telegram or Discord as a group bot, and Scheduled Tasks run an agent on a plan such as a daily news brief or a weekly summary. For a free desktop app that is an unusually complete loop from prompt to recurring automation. The knowledge base is practical rather than decorative: PDF, DOCX, PPTX, XLSX, TXT and MD import, local files plus URLs, sitemaps and typed text as sources, knowledge base export for sharing, and a retrieval test that shows chunking results so you can verify quality before you rely on answers. Export goes to Markdown or Word, and conversations auto-group per assistant. Weaknesses are equally clear. The documentation is Chinese-first; the English surface is thin, so if you need English documentation and a Western support portal this will frustrate you. It is a single-user tool — the docs describe no shared workspaces, roles or admin controls — so teams wanting shared history should look elsewhere. You supply and pay for the keys; the docs present multi-key rotation as the answer to rate limits rather than any bundled credit pool. And the customization surface (custom CSS, custom conversation layouts, sidebar reordering) signals a tool built for tinkerers, which is a feature for some and clutter for others. Where it fits: solo developers comparing outputs across providers on the same task, researchers building a document-grounded knowledge base, Chinese-language users who want DeepSeek, Kimi, Qwen and GLM alongside Western models, and privacy-conscious users running local models with data kept on-device. Where it does not: organizations needing SSO, permissions or compliance administration, and anyone who wants one bundled subscription instead of managing keys.
Models under the hood
as of 2026-10-18
Limitations
- Cherry Studio is an aggregation client for third-party providers — the docs name OpenAI, Gemini, Anthropic, Azure and OpenAI/Gemini/Anthropic-compatible custom providers — so you supply and manage your own API keys rather than receiving bundled credits.
- The docs present multi-key rotation as the mechanism for working around rate limits, not any included billing or credit pool.
- Nothing in the scraped documentation describes shared workspaces, multi-user permissions or admin controls, so it reads as a single-user desktop tool.
- The documentation is Chinese-first; the English surface is thin, so buyers who need English-first docs and a Western support portal should weigh that.
- The evidence covers documentation pages only — no changelog or release-cadence information was available, so nothing can be said about update frequency.
as of 2026-10-20
Researching Cherry Studio? Get your full AI stack in 60 seconds.
Free, no signup — tell us your goal and get tools matched to your budget & existing stack.
Is Cherry Studio still active?
Cherry Studio is live · free plan; paid plans on request · last verified 20 Oct 2026 · viability healthy.
Viability score
How well maintained and how widely used is Cherry Studio? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: November 2026
How we score →What do users say about Cherry Studio?
What people actually say about Cherry Studio — is it worth it?
Our community sentiment research written Jul 26, 2026 is more than 90 days old, so it is being re-reviewed against current data and is not shown.
How we verified this
Every listed fact about Cherry Studio — pricing, features, links, status — is re-read from the vendor's own pages by our verification pipeline and each change is logged with a date; the last pass ran on 20 Oct 2026. Analysis is drafted with AI models and checked against our editorial standards before publishing; see how we verify.
Verification history
We have re-verified Cherry Studio 22 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — changed description, limitations, integrations, switching in, who should skip it, switching out, pricing fit, use cases, who it suits, summary, our verdict, hidden costs, setup time, features
- — changed limitations, pricing page
- — changed features, description, pricing tiers, our verdict, summary, who it suits, who should skip it, integrations, SSL certificate
- — changed website status, pricing model, who it suits, description, our verdict, features, integrations, who should skip it, pricing tiers, summary
- — changed pricing page
- — changed use cases, who should skip it, limitations, switching in, pricing tiers, integrations, pricing fit, hidden costs, setup time, features, our verdict, who it suits, summary, description, switching out
Showing the 6 most recent of 22 verification passes.
Free to cite with attribution — this page re-verifies continuously.
How much does Cherry Studio cost in 2026?
Cherry Studio: Free to start; it also has paid plans whose price we could not confirm — see the pricing table. Pricing last verified 20 Oct 2026.
Plans compared
Every published Cherry Studio tier, its price as the vendor publishes it, who it fits, and what it adds over the tier below. The 12-month cost projection follows.
| Plan | Price | Billing | Who it's for |
|---|---|---|---|
| Community (Self-hosted, AGPL-3.0) | Free | — | Solo power users, developers and researchers who hold their own provider keys and work alone on Windows, macOS or LinuxAdds: Starting point: the full desktop client free under AGPL-3.0, with 50+ providers, local deployment, agents, MCP, knowledge base and WebDAV backup |
| 企业版 / Enterprise | Custom | quote | Companies deploying Cherry Studio commercially who need licensing that covers AGPL-3.0 use in a business contextAdds: Adds commercial licensing and enterprise authorization on top of the free community client; pricing and terms come from the vendor |
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Where the pricing makes sense
The company stage and team size where Cherry Studio's pricing actually pencils out — and where peers do it cheaper.
The community desktop client is free under AGPL-3.0, so the real budget question is what you spend on provider tokens — one key each for OpenAI, Anthropic, Gemini and DeepSeek adds up fast, and a single bundled subscription can be cheaper if you only ever use one model. For solo users with several keys it is the cheapest way to get model variety; commercial deployment needs the separately licensed Enterprise edition.
Has Cherry Studio's pricing changed?
No plan price for Cherry Studio has moved since we began logging in Aug 2026; the pricing page is re-read on every verification pass.
Who should pick Cherry Studio?
Pick Cherry Studio if you are Solo AI power users holding keys for several providers and wanting one window, Developers comparing model outputs on the same prompt side by side, Privacy-conscious users running local models with data kept on-device, Researchers and analysts building personal knowledge bases from documents and web pages.
Look elsewhere if you are Teams needing shared workspaces or shared conversation history, Buyers who want a bundled subscription instead of managing their own API keys, Organizations requiring SSO, role permissions or compliance administration, Users who only ever touch a single model provider and gain nothing from switching.
Skip it if Skip Cherry Studio if you need shared team workspaces, SSO or admin permissions — the docs describe a single-user desktop tool where every person manages their own keys and local data.
GeneratedReal-world workflow fit
Concrete scenarios for the personas Cherry Studio actually fits — and what changes day-one when you adopt it.
You paste one tricky refactor prompt and let 一问多答 send it to GPT, Claude and Gemini at once, then compare code output in the grouped conversation view.
Outcome: You pick the model that actually solved the problem instead of guessing, and your conversation history auto-groups per assistant for later reference.
You import PDFs, spreadsheets and a few sitemap links into the local knowledge base, run the retrieval test to check chunking, then query it alongside a live model.
Outcome: Answers cite what you actually imported, and you export the knowledge base or the conversation to Markdown or Word when the draft is ready.
You build an agent in the 工作 workspace, attach MCP access to a database and a Notion workspace, put it in a Telegram group via Channels, and set a scheduled task for a daily brief.
Outcome: The agent posts a scheduled summary into your team's chat without you opening the app, while detailed work stays on your machine.
Use cases
- Send one prompt to several models at once and compare which answer is actually usable for the task.
- Run a local model for private client work and switch to a cloud provider when you need more capability.
- Build a personal knowledge base from research PDFs, spreadsheets and web pages, then query it with retrieval tests before trusting answers.
- Attach an agent to your Telegram or Feishu group so it answers questions with your own knowledge base behind it.
- Connect an MCP server so the assistant can reach a database, Notion or GitHub without leaving the app.
- Highlight text in any application and use the floating toolbar to translate, explain or summarize it in place.
- Translate long documents by picking whichever model handles that language pair best.
- Schedule a daily news brief or weekly summary that an agent compiles from your sources automatically.
Setup time & first value
How long it actually takes to get something useful out of Cherry Studio — broken out by persona, not the marketing-page minute.
Installation and first message are quick on desktop: download for Windows, macOS or Linux, connect a provider, and chat. Paste an API key and use one-click model list retrieval for cloud providers; local models take longer because you must install the runtime and download weights. Expect an hour or two to build a useful knowledge base once documents are imported and chunking is verified.
Switching to or from Cherry Studio
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From provider web consoles: add your existing API keys once, use one-click model list retrieval, and 一问多答 replaces tab-by-tab comparison.
- →From a local model runner: point Cherry Studio at the local endpoint, then add cloud providers alongside it in the same window.
- →From a notes-plus-chat workflow: the built-in Markdown notes editor interoperates with conversation content, so pasted notes become a knowledge base source.
- ↗To a team chat platform: there is no shared workspace to export, so conversation history moves per person rather than as an organization.
- ↗To a bundled AI subscription: export conversations to Markdown or Word before canceling, since keys and billing live with the providers, not Cherry Studio.
- ↗To another desktop client: export the knowledge base and conversations, then re-add provider keys manually in the new app.
Integrations
Resources & guides
Tutorials & Learning
YouTube returned 6 videos for “Cherry Studio”, and we withheld 6: 6 could not be judged, because “Cherry Studio” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Cherry Studio.
Official links
What are the best Cherry Studio alternatives?
The closest alternatives to Cherry Studio we list are Deepchat, Lunabot and Anse. Ranked by direct product-type match, not category overlap.
| Alternative | Pricing | Starts at | Last verified |
|---|---|---|---|
| Deepchat | Free | Free | — |
| Lunabot | Freemium | Pricing not published | — |
| Anse | Free | Free | — |
Alternatives to Cherry Studio
View all
Tools that pair well with Cherry Studio
Common stack mates teams adopt alongside Cherry Studio, with the specific reason each pairing earns its keep.
Deepchat
Open-source desktop AI client that runs on your machine and connects to OpenAI, Anthropic, Gemini or local Ollama models.
Lunabot
One Lunabot subscription puts 100+ chat, reasoning and image models — GPT, Claude, Gemini, Grok — across browser, desktop, mobile, Telegram
Anse
Anse is a free, open-source desktop chat client that runs your own OpenAI, Azure OpenAI, Google and Replicate API keys from one window.
Cherry Studio vs its closest rival
Cherry Studio's closest head-to-head is with Anything Llm.
Our Cherry Studio vs Anything Llm verdict written May 12, 2026 is more than 90 days old, so it is being re-reviewed against current data and is not shown.
Head-to-head comparisons
Anything Llm vs Cherry Studio
Verdict being re-reviewed against current pricing and data.
Bizzabo vs Cherry Studio
If you're a solo developer or AI power user who wants to juggle 300+ models from one free desktop app, Cherry Studio is unmatched. For enterprise event teams running B2B conferences with CRM integration and lead capture, Bizzabo provides a comprehensive paid platform. They serve entirely different needs—choose based on whether you need model flexibility or event management.
GeneratedFrequently asked questions
For makers of Cherry Studio
- Get a Verified Listing for Cherry Studio ($39): a written decision within 1 working day.
- Free listing for another tool: Free reviews are decided in order, within 3 weeks of the review starting.
Used Cherry Studio? Help shape our editorial sentiment research.