Cherry Studio
by Cherry Studio · Open-source desktop AI client for 300+ models across 50+ providers
BenchRank score
Screenshots of Cherry Studio
Homepage
Overview
Cherry Studio is a cross-platform desktop client for AI chat, image generation, translation and agents, connecting to 300+ models from 50+ providers including OpenAI, Anthropic, Google and DeepSeek, plus local models via Ollama and LM Studio. It adds a knowledge base built from imported documents and web pages, pre-configured assistants, and MCP server support. Data is stored locally.
- Best for
- Heavy AI users wanting one desktop client for many model providers, with data kept on their machine.
- Pricing
- No prices are published; the Community Edition is free and open source under AGPL-3.0, with an enterprise licence available on request.
Strengths and trade-offs
Strengths
- Free, open-source Community Edition under AGPL-3.0
- 300+ models from 50+ providers, plus local Ollama and LM Studio
- Chat history, settings and knowledge base files stored on device
- Extensible through MCP servers and mini-programs
Trade-offs
- Desktop only: Windows, macOS and Linux; no web or mobile client listed
- Commercial use needs AGPL compliance or a separate enterprise licence
- Enterprise licence terms and prices are not published
- Multi-device sync depends on WebDAV or manual local/cloud backups
How Cherry Studio markets itself
A structured read of the promise, proof and page design on Cherry Studio’s captured homepage.
Homepage capture
“The All-in-One AI Workstation”
- Angle: All-in-one / consolidation
- Hero: Product screenshot
Pricing
Published plans and prices from Cherry Studio’s own pricing page.
How this score is made up
Each dimension is scored out of 100 and combined into the headline score using fixed weights.
MCP support
Whether an agent can drive the product through the Model Context Protocol, and how much setup that takes.
API quality
Public API surface: machine-readable spec, official SDKs, documented auth, errors, rate limits and versioning.
Documentation
Publicly reachable docs — coverage, freshness, code samples and machine readability.
Agent friendliness
How readable the site is to an automated client: llms.txt, structured data, server-rendered content, crawler access.
Changelog
A public, dated record of what shipped and when — the clearest signal that a product is still alive.
Marketing site structure
Whether the site answers a buyer's questions: clear positioning, the pages that matter, and accessibility.
Page speed
How fast the site loads for real visitors: Chrome UX Report 75th-percentile LCP, INP and CLS, with a Lighthouse mobile run standing in where a site has too little traffic for field data.
Operational trust
Status page and incident history, security disclosure, compliance and data-processing documentation.
Measured, but not part of the score
Useful to know, but not a mark for or against the product — so these do not affect the ranking.
Openness
Source availability, self-hosting, data export and open standards. Scored and shown, but not part of the composite — paid SaaS is not worse for being paid SaaS.
Maintenance
Release cadence and repository activity. Scored and shown, but not part of the composite — it is only measurable for open repositories.
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Where this comes from
The Cherry Studio pages BenchRank reads when it scores the product — its documentation, release notes, status and security pages, and its repository where there is one.
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Is this your product?
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