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Msty Review, Pricing & Alternatives (2026)

A private workspace for local and online AI models

Last updated: October 22, 2026

What is Msty?

Msty Studio is a desktop and web workspace for local or hosted models, documents, and repeatable AI workflows. It suits individuals and teams that want local inference alongside provider connections. Desktop costs $0, Aurum costs $149 per user per year, and Aurum Lifetime costs $349 per user once.

Msty website screenshot
Msty homepage, captured October 2026

Msty Studio began as Msty App, a desktop client, before Msty shifted its product focus to Studio in 2025. Msty describes Studio as a privacy-first workspace for local and online AI models, available through desktop and web versions. Its product pages cover chat, files, prompts, personas, Knowledge Stacks, media generation, and team controls. Msty publishes no founding year, headcount, funding total, or user count. A July 2025 announcement says the original desktop application was becoming a legacy tool and would be phased out as Studio replaced it. The current offering includes free desktop access, paid features, and an enterprise option. Studio is therefore an application layer for connecting and using models, not a foundation model provider or inference API. It suits people who want local privacy, multiple model connections, and reusable knowledge workflows.

A typical workflow begins with a local inference engine or an online provider, followed by chat in a shared workspace. Studio supports Ollama, llama.cpp, and MLX for local models, while hosted providers can be connected with user credentials. Split Chats places model responses side by side for comparison. Agent Mode supports multi-step, tool-aware work, and Crew Conversations puts multiple personas in one thread. Knowledge Stacks retrieve context from documents and notes. Prompt Studio, Persona Studio, Skills Studio, and Media Studio create reusable assets. Studio Web stores data in browser local storage, but local models there require a connection to Studio Desktop or Msty Sidecar. This setup suits people who want local privacy, multiple model connections, and reusable knowledge workflows, rather than one managed assistant, so Msty Studio is best for those users.

Studio is an application layer for connecting models, not a foundation model or inference API. Its model hub brings local inference engines and hosted providers into one workspace. The product page lists Studio version 2.9.11 and highlights Amazon Bedrock API-key authentication and fixes for the Anthropic provider. Msty announced the desktop version in June 2025 and described a ground-up re-architecture in July 2025. Current local options include MLX, llama.cpp, and Ollama. Hosted connections include Azure and Bedrock on the Aurum plan, with provider charges separate from the plan. Msty publishes no benchmark result or fixed context-window figure for Studio, and no fixed token or message quota. Model behavior, limits, and charges therefore depend on the connected engine or provider. Studio suits users who want local privacy, several model connections, and reusable knowledge workflows.

The free Studio tier costs $0 forever and supplies core Studio Desktop features, including local and online chat, Persona and Crew Conversations, Agent Mode, Knowledge Stacks, and several studios, although some features remain limited. Aurum costs $149 per user per year and adds Studio Web, Azure and Bedrock providers, Assistants, Shadow Personas, Turnstiles, Insights, Forge Mode, and other advanced features. Aurum Lifetime costs $349 per user once and includes Aurum features and updates. Enterprise and Teams pricing is custom, requires at least five seats, and adds SSO, user and team management, role-based access, audit logs, and shared resources. Provider charges remain separate, so total costs can vary by connected service. Choose the free tier for core desktop work, Aurum for expanded tools, or Enterprise and Teams for managed multi-user access.

Studio’s product transition can complicate documentation because Msty App and Studio have separate guides, while Studio Web needs Desktop or Sidecar for local models, tools, and real-time data. Hosted inference remains subject to provider terms and fees, and Msty publishes no fixed token or message quota, so practical limits depend on the selected model and provider. Compared with Jan, Studio offers a broader workspace. Compared with LM Studio, it adds web access, workflow studios, and team controls. Compared with ChatGPT, Studio provides stronger local-engine control but fewer proprietary cloud capabilities. Choose Msty Studio for local privacy, several model connections, and reusable knowledge workflows when those priorities matter more than using a single managed assistant, making it best suited to users who want flexible model control and reusable workflows.

Who is Msty best for?

  • People who want local and hosted models in one workspace.
  • Researchers organizing documents into Knowledge Stacks.
  • Users building repeatable agent and prompt workflows.
  • Teams requiring shared AI controls and audit logs.

Msty Pricing (2026)

Pricing model: Freemium. All prices in USD.

PlanPriceWhat you get
Free$0Forever. Core Studio Desktop features are included, with some features limited.
Aurum$149/user/yearAdds Studio Web and advanced features. Connected providers may charge separately.
Aurum Lifetime$349/userIncludes Aurum features and lifetime updates. Team-only controls are excluded.
Enterprise & TeamsCustomMinimum five seats. Pricing lists SSO, user and team management, role-based access, audit logs, and shared resources.

Pros and Cons

Pros

  • The free desktop tier supports local and online model chats.
  • Studio combines retrieval, agents, personas, prompts, and media.
  • Aurum supports browser access, Bedrock, and Azure providers.
  • The lifetime plan includes future Aurum updates.

Cons

  • Studio Web requires Desktop or Sidecar for local models.
  • The older Msty App is being phased out.
  • Msty publishes no fixed usage quota.

Who should look elsewhere?

  • Users wanting one cloud assistant with no configuration.
  • Buyers requiring published token or message quotas.
  • People seeking a foundation model or inference API.

Technical Details

Open SourceNo
Self-HostedNo
API AccessNo

Frequently Asked Questions

How much does Msty Studio cost?

Msty Studio has a free $0 Desktop plan. Aurum costs $149 per user per year, and Aurum Lifetime costs $349 per user once. Enterprise and Teams pricing is custom, with a five-seat minimum. Msty's prices cover Studio features. Connected online model providers can impose separate usage charges under their own pricing and account terms.

Does Msty Studio have a free plan?

Yes. The Free plan provides Studio Desktop at no charge and includes local and online model chat, Persona and Crew Conversations, Agent Mode, Knowledge Stacks, and several studios. Some capabilities are limited on Free. Studio Web and advanced features, including Azure and Bedrock providers, require Aurum.

Msty Studio or LM Studio, which is better?

Msty Studio covers a wider workflow, with local engines, hosted providers, Knowledge Stacks, personas, agents, media tools, and team controls. LM Studio focuses on downloading and running local models on a computer. Choose Msty for mixed local and hosted work. Choose LM Studio for a more focused local-model interface.

Does Msty train on user data?

Msty says its products have no telemetry and stores Desktop data on the user's device. Studio Web stores data in browser local storage. Msty says conversations sent to connected online providers go directly to those providers using the user's API keys, so their policies apply. Local models provide the clearest route for keeping prompts and responses on the device.

Can Msty Studio be used commercially?

Msty lists Enterprise and Teams support with SSO, user and team management, role-based access, audit logs, and shared resources. The pricing page does not publish a separate commercial-use fee. Organizations should review Msty's current license and enterprise terms, plus the licenses for connected models and providers, before deployment.