MetaGPT pricing guide details
Pricing Overview
MetaGPT is an open-source multi-agent framework, released under the MIT license on GitHub. The framework costs $0. The project sells no plan, charges no seat fee and sets no usage cap. You install it and run it on your own machine or server.
What you pay for is everything around it. MetaGPT turns a one-line request into work for a team of role-based agents (product manager, architect, project manager, engineer), and each agent calls a large language model. So one task makes several model calls. Your bill comes from your LLM provider and your cloud provider, at their prices, not from MetaGPT.
The team behind MetaGPT now sells Atoms (formerly MetaGPT X, or MGX), a hosted product it built from the framework. Atoms is a separate product with its own pricing page at atoms.dev/pricing. This guide covers the open-source framework.
Plan Comparison
MetaGPT has no paid tiers, so the useful comparison is between ways of running it.
Scroll sideways to see all columns. With a keyboard, focus this table and use the arrow keys.
| Option | MetaGPT price | What you get | What you pay for yourself |
|---|---|---|---|
| Local install | $0 (MIT license) | Full framework source and agent roles on your own machine | LLM API calls |
| Shared team server | $0 (MIT license) | The same framework on a server your team shares | LLM API calls, the server, upkeep |
| Self-hosted model | $0 (MIT license) | The framework pointed at an open-weight model you host | GPU servers or a model hosting service |
| Atoms | Not part of MetaGPT | Hosted product from the MetaGPT team | An Atoms plan, priced on atoms.dev |
The licence cost is the same in every row. What changes is who runs the model and the servers. For most teams the local install is the right start: it costs nothing beyond API calls and shows quickly whether multi-agent output suits your work.
Hidden Costs and Considerations
- Token spend grows with agents. Each role makes its own model calls, so a MetaGPT task uses more tokens than a single prompt. A smaller model cuts the bill but can lower output quality. MetaGPT's run command takes an investment setting, a dollar budget that stops a run when its spend reaches the limit; use it while you learn your costs.
- Servers and upkeep. A shared deployment needs a server, monitoring and someone to maintain it. None of this appears on any price list.
- No vendor support. There is no paid support plan or SLA. Help comes from the GitHub community.
- Release pace. The latest tagged release on GitHub is v0.8.1, from April 2024, though the repository was still updated in January 2026. The team's commercial focus is now Atoms. Pin a version and budget engineer time for fixes.
Cost Estimates by Team Size
MetaGPT's own cost is $0 at every team size. We give no estimate for LLM spend: it depends on your model, your tasks and your provider's token price, and we have no first-party source for a typical figure. To estimate it, run a sample task, read the tokens used in your provider's dashboard and multiply by its price.
Scroll sideways to see all columns. With a keyboard, focus this table and use the arrow keys.
| Team | MetaGPT licence | Other costs you carry | Hosted option for comparison |
|---|---|---|---|
| Solo developer | $0 | LLM API calls | Dify Sandbox, free for 1 member |
| Team of 5 | $0 | LLM API calls, a shared server | Dify Team, $159 per workspace per month (Professional allows only 3 members) |
| Team of 20 | $0 | LLM API calls, servers, monitoring, engineer time | Dify Team, $159 per workspace per month (up to 50 members) |
The hosted column shows what you trade: a fixed monthly fee in exchange for not running anything yourself.
How MetaGPT Pricing Compares
- AutoGen is also open source at $0, so the choice between the two rests on features, not price.
- Dify offers a free self-hosted Community Edition, plus Dify Cloud: Professional at $59 per workspace per month or $590 per year, and Team at $159 per workspace per month or $1590 per year. Prices exclude taxes.
- AutoGPT sells hosted plans: Cloud Pro at $50.00 per month and Cloud Max at $320.00 per month, both billed monthly, with workflow runs paid through a credit wallet.
- LangChain lists a $0 Developer seat and a paid seat at $39 per seat.
MetaGPT and AutoGen are the options here with no paid tier at all. That gives full control over costs, but you carry the infrastructure, the model bill and the support work yourself.