Featherless
Featherless (formerly Recursal.AI) · Coding · Other
Featherless is a serverless inference platform that puts 40,000+ open-source models behind one OpenAI-compatible API, with flat monthly pricing and no setup or hosting work.
About Featherless
What Is Featherless
Featherless is a serverless LLM inference service for open models. You pick a model from a catalogue of more than 40,000 checkpoints, point your client at one endpoint, and the platform handles the GPUs. There's nothing to download and no container to keep warm.
The company started as Recursal.AI, a research team whose founders co-lead RWKV, a Linux Foundation project built on an attention-free architecture. That background explains the pitch: open weights should be as easy to call as a proprietary API. The platform now serves models from thousands of creators, from small 7B chat models to 800B flagships.
The limits matter as much as the catalogue. The entry chat plan is capped at 32K context and four concurrent units, and its terms restrict use to interactive typing by the person who bought it. App traffic, automation, and benchmarking belong on the metered developer plan, which starts at $50 in monthly credits.
Getting Started
- Create an account at featherless.ai and open the console to generate an API key.
- Choose a model from the catalogue, then copy its full model ID, such as a Qwen or DeepSeek checkpoint.
- Point an OpenAI-compatible client at the base URL
https://api.featherless.ai/v1and paste your key. - Send a test request and check latency and output quality before you build on top of it.
- Move to the developer plan when you need longer context, higher concurrency, or app traffic.
Product Information
A quick look at Featherless's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- Roleplay and fiction writers
- Indie developers
- Small product teams
- Model tinkerers
Tasks
- Coding agent work
- Long document analysis
- Drafting and rewriting
- Model selection research
Scenarios
- A weekend prototype
- A roleplay community
- A production pilot
Key features
One API for 40,000+ Open Models
Every model in the catalogue is reachable through a single endpoint and a single key. That covers trending Hugging Face releases, small task-specific models, and large reasoning checkpoints. You change the model ID in the request, and the platform routes it. In practice it works as a shared open-source model API, so you skip the model hosting work that usually comes first.
Flat-Rate Chat Plan With Unlimited Tokens
The $25 monthly chat plan bills no tokens. You can write a 10,000 word chapter and pay the same as someone writing a paragraph. The trade is a 32K context ceiling and four concurrent units, so speed under parallel load is limited by design.
Metered Developer Plan With Credits That Roll Over
Fifty dollars a month buys credits that never expire, and each model draws them down at its own per-million-token rate. A failed request costs nothing. Unused balance carries into the next cycle, which suits teams with uneven traffic.
Context Windows Up to 256K
The developer tier lifts the cap from 32K to 256K, enough for a codebase slice, a legal agreement, or a long research thread. Business customers can request more, sized to their own GPUs.
OpenAI-Compatible Endpoint
The base URL follows the OpenAI chat completions shape, so existing SDKs and tools work with a URL and key change. That's why editors, agent frameworks, and n8n workflows can adopt it without a rewrite.
Dedicated GPUs and Private Fine-Tunes
The business plan runs on dedicated H100, MI325X, B200, or B300 hardware with no shared rate limits. Teams can serve private fine-tunes through Hugging Face and burst to public cloud when demand spikes.
Pros and cons
Pros
- No GPU setup or cold-start tuning, which removes the slowest part of running open models.
- Unlimited tokens on the chat plan makes heavy writing and roleplay predictable at $25 a month.
- Credits don't expire, and only successful requests are billed on the developer tier.
- OpenAI-compatible API means existing clients and agent tools connect with minimal code change.
- Dedicated hardware, private fine-tunes, and named support are available on the business plan.
Cons
- There's no free tier, so you pay $25 before you can judge output quality on your own prompts.
- The chat plan stops at 32K context and four concurrent units, which rules out long documents and parallel automation.
- Chat plan terms bar app traffic, reselling, and benchmarking, so a working prototype has to move to the metered plan.
- Catalogue size doesn't guarantee fit. Popular download counts say little about instruction following, so expect to test several models.
Frequently asked questions
It's a hosted gateway to open-source language models. You use it to chat with models, run coding agents, draft text, or test checkpoints without renting a GPU or building an inference stack.
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