BasetenPaid
A platform for deploying and serving machine-learning models in production, with autoscaling, fast cold starts, and GPU infrastructure managed for you.
AI Infrastructure comparison
Pricing, pros, cons, and ideal use cases — side by side.
A platform for deploying and serving machine-learning models in production, with autoscaling, fast cold starts, and GPU infrastructure managed for you.
Gives agents authenticated access to 1,000+ applications, handling OAuth, tool selection, and sandboxed execution so you do not build integrations one at a time.
| Baseten | Composio | |
|---|---|---|
| Pricing | PaidUsage-based pricing tied to the compute your deployed models consume. | FreemiumFree tier to get started; paid and enterprise plans are not published on the site and require a demo. |
| Category | AI Infrastructure | AI Infrastructure |
| Ideal for | Teams deploying custom or fine-tuned modelsEnterprises needing dedicated, autoscaling model servingOrgs that want to avoid managing GPU infrastructure | Engineering teams building production agentsDevelopers who need agents to act across many SaaS toolsTeams using MCP clients like Claude Code or CursorAnyone facing an OAuth-per-integration backlog |
Composio is the lighter-weight option (Freemium), while Baseten sits higher on the pricing ladder (Paid). Baseten is built around teams deploying custom or fine-tuned models; Composio leans more toward engineering teams building production agents. Shortlist the one whose strengths line up with your biggest constraint.