Pricing last verified: May 2026. Plans and pricing may change — check the vendor site for current details.
Pricing Overview
AutoGPT is a fully open-source autonomous AI agent platform released under the MIT license. There are no subscription tiers, no per-seat fees, and no usage caps imposed by the project itself. You download the code from GitHub, run it on your own infrastructure, and pay nothing to the AutoGPT project.
The real cost of running AutoGPT comes from the large language model API calls it makes under the hood. Every task the agent executes — research, code generation, file manipulation — triggers one or more API requests to providers like OpenAI, Anthropic, or other LLM endpoints you configure. Those providers bill you directly based on token consumption, so your monthly spend scales with how heavily you use the agent and which model you select.
Plan Comparison
Because AutoGPT is open-source with no paid tiers, the "plan comparison" is really a comparison of underlying LLM cost profiles depending on how you configure the agent:
| Configuration | Software Cost | Estimated LLM API Cost | Best For |
|---|---|---|---|
| GPT-3.5 Turbo backend | $0 | $1 – $10/month for light use | Experimentation, simple tasks |
| GPT-4o backend | $0 | $5 – $50/month for moderate use | Production workflows, complex reasoning |
| GPT-4 backend | $0 | $20 – $150/month for heavy use | Advanced multi-step tasks |
| Self-hosted open model (Llama, Mistral) | $0 | $0 (compute costs apply) | Privacy-sensitive workloads, cost control |
All configurations use the same AutoGPT codebase at $0. The only variable is the LLM provider you connect.
Hidden Costs and Considerations
While AutoGPT itself is free, several indirect costs catch new users off guard. Autonomous agents tend to consume tokens aggressively — a single complex task can trigger dozens of chained API calls, each burning through input and output tokens. Without spending limits configured in your LLM provider dashboard, a runaway agent loop can rack up $50 or more in a single session. You also need to factor in hosting costs if you run AutoGPT on a cloud VM rather than locally (a basic instance runs $5 – $20/month on most providers). There is no vendor support included; troubleshooting relies on the community Discord and GitHub issues.
Cost Estimates by Team Size
Since AutoGPT has no per-seat licensing, team cost scales purely with LLM API usage:
- Solo developer: $0 software + $10 – $30/month in API costs for daily use with GPT-4o. Total: roughly $10 – $30/month.
- Small team (5 people): $0 software + $40 – $150/month in shared API costs, assuming moderate daily usage. A shared API key with spending alerts is recommended.
- Mid-size team (20 people): $0 software + $150 – $500/month in API costs. At this scale, teams often switch to self-hosted open models to cap spend, reducing LLM costs to infrastructure-only ($50 – $200/month for GPU compute).
How AutoGPT Pricing Compares
AutoGPT's $0 software cost stands out against commercial AI agent platforms. LangChain offers a free Developer tier at $0/seat but charges $39/seat for its Plus plan with production features like enhanced tracing and collaboration tools. AgentVault provides a free self-hosted option under the MIT license (similar to AutoGPT), but its managed Pro plan costs $49/month and Enterprise runs $199/month for priority support and advanced integrations. The trade-off with AutoGPT is clear: you pay nothing for the platform but absorb all infrastructure and LLM costs yourself, with no vendor support safety net.