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.
An AI gateway that adds routing, caching, observability, and guardrails to LLM traffic through a single control plane.
| Baseten | Prisma AIRS AI Gateway (formerly Portkey) | |
|---|---|---|
| Pricing | PaidUsage-based pricing tied to the compute your deployed models consume. | FreemiumFree developer tier. Paid Pro and Enterprise plans add volume, self-hosting, and governance. |
| 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 | Enterprises standardizing LLM access across teamsPlatform teams needing routing and failoverOrgs wanting cost and reliability controls in one place |
Prisma AIRS AI Gateway (formerly Portkey) 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; Prisma AIRS AI Gateway (formerly Portkey) leans more toward enterprises standardizing llm access across teams. Shortlist the one whose strengths line up with your biggest constraint.
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