One control point for the actions agents take in real systems — user-scoped auth, 8,000+ permission-aware tools, and an audit trail per action.
AI Infrastructure comparison
Pricing, pros, cons, and ideal use cases — side by side.
One control point for the actions agents take in real systems — user-scoped auth, 8,000+ permission-aware tools, and an audit trail per action.
A platform for deploying and serving machine-learning models in production, with autoscaling, fast cold starts, and GPU infrastructure managed for you.
| Arcade.dev | Baseten | |
|---|---|---|
| Pricing | FreemiumFree $0/month with 2,000 auth events and 2,000 tool calls, community support, no credit card. Team $25/month plus usage at $0.10 per auth event and $0.01 per tool call, with next-business-day email support. Enterprise is custom with annual bundles, cloud, VPC or air-gapped deployment, SSO, RBAC, audit logs, private registry access, and 24/7 SLA. Priced by what agents do, not per seat. | PaidUsage-based pricing tied to the compute your deployed models consume. |
| Category | AI Infrastructure | AI Infrastructure |
| Ideal for | Platform teams putting agents into production against real SaaS systemsSecurity teams that have blocked an agent project over service-account accessCompanies building internal agents on Salesforce, Google Workspace, or SlackTeams standing up MCP servers who need auth and audit around them | Teams deploying custom or fine-tuned modelsEnterprises needing dedicated, autoscaling model servingOrgs that want to avoid managing GPU infrastructure |
Arcade.dev is the lighter-weight option (Freemium), while Baseten sits higher on the pricing ladder (Paid). Arcade.dev is built around platform teams putting agents into production against real saas systems; Baseten leans more toward teams deploying custom or fine-tuned models. Shortlist the one whose strengths line up with your biggest constraint.
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