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FriendliAI

Inference infrastructure for open-weight and custom models

FriendliAI provides API and infrastructure options for running open-weight and custom models in production. Developers can use pay-as-you-go Model APIs, deploy dedicated GPU endpoints for predictable capacity, or run its containerized offering in their own environment for greater deployment control.

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Best for
Engineering teams building production AI agents
Pricing signal
USD 0.0015 / audio minute
Primary category
Developer tools
Last verified
Jul 30, 2026

The decision

Should FriendliAI make your shortlist?

Start with the job, the team, and the constraints. Product fit becomes much clearer when those three line up.

Strongest fit

Who it is built for

  • Engineering teams building production AI agents
  • Teams that need dedicated GPU inference capacity
  • Organizations with on-premise or VPC deployment requirements
Practical use cases

Jobs it can take on

  • Call open-weight models through OpenAI-compatible chat-completion APIs
  • Deploy a custom or Hugging Face model on a dedicated endpoint
  • Run containerized inference in a Kubernetes environment
Before you choose

Know the tradeoffs

  • Dedicated Endpoints are billed by active GPU time, with on-demand prices starting at USD 2.90 per hour for an A100 80GB GPU.
  • Container pricing requires contacting FriendliAI.
  • Enterprise capabilities are enabled through a custom contract rather than a fixed plan.

Inside the product

What you can actually do with it.

The core product capabilities, grouped around the work they enable.

Model APIs

Serverless Model APIs provide pay-as-you-go access to frontier open-weight models through OpenAI-compatible and Anthropic Messages-style interfaces.

Dedicated Endpoints

Dedicated Endpoints provide GPU-backed inference with autoscaling, observability, and support for custom and open-source models.

Container deployment

Friendli Container is a Kubernetes-native option for teams that need to run inference with data-protection and governance controls in their own environment.

Typical workflow

Sign up for FriendliAI, generate a personal API key, and select an available model. Send inference requests through the API or use the Suite to deploy a dedicated endpoint. Teams with stricter deployment requirements can discuss container or enterprise options with FriendliAI.

Plans and official links

Plans and accessUSD 0.0015 / audio minute.

See the entry price, free access options, company details, and direct vendor destinations in one place.

Choosing for a real workflow?

Make the tool work with the rest of your operation.

We map the workflow, connect existing systems, choose what to buy, and build what is missing.

Discuss your workflow