Pricing last verified: May 2026. Plans and pricing may change — check the vendor site for current details.
Pricing Overview
MetaGPT is a fully open-source multi-agent framework released under the MIT license. There are no paid tiers, no seat-based fees, and no usage caps imposed by the project itself. You download the repository, install dependencies, and run it on your own infrastructure at zero licensing cost.
The real expense is the underlying LLM inference. MetaGPT orchestrates calls to providers like OpenAI, Anthropic, or self-hosted models, so your monthly bill depends entirely on which model you choose, how many agents you spin up, and how many tokens each task consumes. A typical product-design workflow — where MetaGPT generates PRDs, technical designs, and code across five specialized agents — can use 30,000 to 80,000 tokens per run. At OpenAI's GPT-4o pricing that translates to roughly $0.15 to $0.40 per run, while GPT-4o-mini drops the cost to under $0.05.
The MetaGPT team has since launched Atoms (formerly MGX), a hosted commercial product built on the same multi-agent technology. Atoms is a separate platform with its own pricing; the core MetaGPT framework remains free.
Plan Comparison
Because MetaGPT has no vendor-managed tiers, the comparison below maps common deployment patterns to their estimated monthly costs.
| Deployment Model | License Cost | Infrastructure | LLM API Cost (est.) | Total (est.) |
|---|---|---|---|---|
| Local development (1 user, light use) | $0 | $0 (existing machine) | $5 - $15 / month | $5 - $15 |
| Small team server (5 users, moderate use) | $0 | $50 - $100 / month (cloud VM) | $40 - $120 / month | $90 - $220 |
| Production deployment (20 users, heavy use) | $0 | $200 - $500 / month (dedicated infra) | $200 - $600 / month | $400 - $1,100 |
| Self-hosted LLM (any scale) | $0 | $500+ / month (GPU server) | $0 (self-hosted model) | $500+ |
Every row starts at $0 for MetaGPT licensing. The cost driver is always the LLM provider and compute infrastructure you bring.
Hidden Costs and Considerations
LLM token spend is the biggest variable. MetaGPT's multi-agent architecture means a single task fans out across several agents, each making its own API calls. A five-agent workflow can consume 3x to 5x the tokens of a single-agent approach. Switching from GPT-4o to GPT-4o-mini or a self-hosted model like Llama 3 can cut token costs by 80% or more, but may reduce output quality.
Infrastructure overhead matters at scale. Running MetaGPT in production typically requires a persistent server, a message queue for agent coordination, and monitoring — costs that do not appear on any pricing page but add $100 to $500 per month depending on team size.
No vendor SLA or support. If something breaks, you rely on the open-source community. Teams needing guaranteed uptime or dedicated support should budget for internal DevOps time or consider Atoms, MetaGPT's commercial successor.
Cost Estimates by Team Size
Solo developer: Expect $5 to $15 per month in LLM API fees for occasional multi-agent runs. Infrastructure cost is zero if you run locally.
Small team (5 engineers): Budget $90 to $220 per month — a modest cloud VM plus moderate API usage. Choosing GPT-4o-mini over GPT-4o saves roughly 60% on token costs.
Mid-size team (20 users): Plan for $400 to $1,100 per month once you factor in dedicated infrastructure and heavier LLM consumption. At this scale, self-hosting an open-weight model becomes cost-competitive; a single A100 GPU lease runs roughly $1.50 to $2.00 per hour but eliminates per-token fees entirely.
How MetaGPT Pricing Compares
MetaGPT's open-source model stands apart from competitors that charge per-seat fees. LangChain offers a free Developer tier but charges $39 per seat for its Plus plan, which adds collaboration features and higher rate limits. AutoGen, like MetaGPT, is fully open-source under MIT with no licensing fees — the cost comparison comes down to framework capabilities rather than price. AgentVault follows a freemium model: self-hosted is free, but its managed Pro plan costs $49 per month and Enterprise runs $199 per month.
For teams that want zero vendor lock-in and full control over costs, MetaGPT and AutoGen are the only options in this category with no paid tiers at all. The trade-off is that you absorb all infrastructure and support responsibilities yourself.