Featherless

Overview

Featherless is a serverless LLM hosting platform engineered to give developers and enterprises the freedom to reliably deploy any open model effortlessly. With a single API key, users gain instant access to a rapidly growing catalog of more than 40,000 open-source models — spanning reasoning, coding, creative writing, roleplay, and productivity — without the need to provision infrastructure, manage GPU clusters, or handle model serving complexity. The platform abstracts away the operational overhead of self-hosting, enabling teams to go from model selection to production-ready API calls in minutes.

At the core of Featherless is a performance-oriented serving infrastructure designed for low latency and dependable uptime. The platform offers flat-rate pricing with unlimited token consumption, making inference costs highly predictable and removing the anxiety of usage-based metering. Whether developers are experimenting with 15B-parameter models or scaling to frontier-class architectures such as DeepSeek V4, GLM 5.2, Qwen, Kimi, and Llama variants, Featherless delivers uniform reliability through a unified API surface. The service also supports dedicated GPU deployments for workloads that require stronger isolation, higher throughput, or specialized hardware configurations — including exclusive AMD-backed inference for select flagship models.

Featherless is organized around transparent, tiered plans designed to match different adoption stages. The Basic plan provides free access to models up to 15B parameters with two concurrent connections and up to 16K context; the Premium plan unlocks frontier models in the DeepSeek, Kimi-K2, and GLM families, removes model size restrictions, expands context to 32K, and allows up to four concurrent connections; and the Scale plan targets business-critical deployments, offering arbitrarily many concurrent connections, private and secure usage, anonymous operation, and strict no-log guarantees. This progression ensures teams can start at zero cost and scale to enterprise-grade privacy and performance without architectural changes.

For organizations burdened by ballooning AI inference budgets, Featherless positions itself as a cost-reduction lever: its built-in cost calculator helps teams quantify savings against alternative hosting approaches. Combined with a rich model discovery experience — including curated collections for roleplay, creative writing, reasoning, coding, and productivity — Featherless serves as both a practical deployment backend and a discovery hub for the open-model ecosystem. It is purpose-built for AI engineers, product teams, researchers, and independent developers who want to ship LLM-powered products quickly, reliably, and cost-effectively.

Core capabilities

Massive Open-Source Model Catalog

Browse and deploy 40,000+ open models through a single API, covering families like DeepSeek, GLM, Qwen, Llama, Kimi, and more.

Single API Key Integration

One unified API endpoint unlocks every model on the platform, eliminating multi-provider integration overhead.

Flat-Rate Pricing with Unlimited Tokens

Predictable subscription pricing regardless of token volume, making inference budgets fully controllable.

Zero-Deployment Infrastructure

No server provisioning, model hosting, or GPU cluster management required — start calling models immediately.

Low-Latency, Reliable Inference

Production-grade serving infrastructure engineered for low latency and dependable uptime.

Tiered Plans for Any Scale

From a free Basic tier (models up to 15B, 2 concurrent connections, 16K context) to Premium (no model size limit, up to 32K context) and business-grade Scale plans.

Private & Anonymous Business Usage

The Scale plan delivers no-log, secure, anonymous inference for enterprise compliance requirements.

Dedicated GPU Options

Reserved GPU capacity for workloads that demand higher throughput, stronger isolation, or specialized hardware.

Cost Savings Calculator

A built-in tool that quantifies potential savings relative to alternative LLM hosting approaches.

Exclusive AMD Inference

Run select flagship models — including GLM 5.2 — on AMD hardware, available exclusively through Featherless.

Use cases

Rapid prototyping of LLM features without infrastructure setup

Production deployment of open-source models behind a unified API

Reducing costs for high-volume token inference workloads

Running frontier reasoning and coding models like DeepSeek V4, GLM 5.2, and Qwen

Deploying specialized roleplay and creative-writing fine-tunes

Enterprise applications requiring anonymous, log-free inference

Building multi-model AI agents with instant model switching