Featherless.ai
by Featherless.ai Inc.
Serverless inference for tens of thousands of open-weight models through one OpenAI-compatible API
Featherless.ai is a serverless inference platform that gives engineering teams API access to tens of thousands of open-weight models from one key. It is for teams that want to test or run niche open models and fine-tunes without provisioning a GPU server for each one.
Featherless is a serverless inference service for open-weight models, reached through one OpenAI-compatible API at api.featherless.ai/v1. The company began in 2023 as Recursal.AI and rebranded in 2024. Co-founders Eugene Cheah, Harrison Vanderbyl and Wesley George co-lead RWKV, a Linux Foundation project working on attention-free model architectures. The catalog covers language, vision and audio models: the homepage listed 40,000+ models on November 9, 2026, while the About page and April 2026 funding coverage say 30,000+. The docs list chat and text completions, classification, tokenization and speech endpoints, along with tool calling, vision and embeddings. Featherless handles GPU allocation, scaling and routing, so a team can test a niche fine-tune without standing up a server for it. Self-serve capacity is sold in concurrent units. The Chat plan is a flat $25 a month for interactive use only, Developer is metered per token from $50 a month in credits, and Business is an annual contract on dedicated H100, MI325X, B200 or B300 GPUs. On April 30, 2026 the company announced a $20M Series A co-led by AMD Ventures and Airbus Ventures, with plans for more regions, a marketplace for specialized open models and deeper support for AMD's ROCm software. Two facts from the vendor's own pages belong in any evaluation: the terms of service still call the product beta and allow models to be de-listed, and the Trust Center says the SOC 2 Type II observation period began September 1, 2026, with an audit expected by Q1 2027.
An ML platform or applied AI lead who needs to evaluate many open-weight models and fine-tunes and does not want to run GPU capacity for each candidate.
One API key reaches a catalog of 30,000+ open models, so swapping a candidate model is a change to the model name in the request.
At a Glance
- Category
- Infrastructure & Cloud
- Pricing
- Subscription, Usage-based, Contact for pricing
- Target Market
- CTOs, Heads of AI, ML Engineers, Enterprise Developers
- Deployment
- API-based, Cloud-only
- Founded
- 2023
- Headquarters
- San Francisco, USA
Key Features
- ✓Open model catalog
Serves 30,000+ open models across language, vision and audio, so teams can try specialized models without separate hosting.
- ✓OpenAI-compatible API
Accepts the OpenAI SDK with a changed base URL, which keeps migration work to a small configuration edit for existing applications.
- ✓Concurrency-based plans
Sells capacity in concurrent units with a flat Chat plan, which makes interactive spend predictable at the cost of hard parallelism limits.
- ✓Dedicated GPUs
Business contracts provide dedicated H100, MI325X, B200 and B300 GPUs with no shared rate limits for steady production traffic.
- ✓No prompt logging
The docs state chats, prompts and completions are not logged or stored, which matters to teams sending sensitive text to a shared service.
- ✓Agent tool support
Developer plans work with Cline, Kilo Code, OpenCode, OpenHands and n8n, and they allow background automation and production API traffic.
Capabilities
Use Cases
- •Model bake-offs
An applied AI team runs the same evaluation set across dozens of open models and shortlists winners without renting a GPU per candidate.
- •Fallback provider for agents
A developer team configures Featherless as a secondary open-model endpoint so coding agents keep working when a primary provider is rate limited.
- •Private fine-tune serving
A team publishes a fine-tuned model privately through Hugging Face and serves it on a Developer plan or on dedicated Business GPUs.
- •Text-to-speech experiments
A product team compares open speech models such as Kokoro, Orpheus and Chatterbox through one speech endpoint before picking one to deploy.
Ideal For
Best For
- ✓Benchmarking many open-weight models against the same internal task through one API
- ✓Running long-tail Hugging Face fine-tunes that the large inference clouds do not host
- ✓Pointing OpenAI-compatible coding agents such as Cline, OpenCode or OpenHands at open models
- ✓Moving a proven open model from shared serverless capacity to dedicated GPUs under an annual contract
Not Ideal For
- ✗Regulated buyers who need a completed SOC 2 Type II report today, since the vendor expects its audit by Q1 2027
- ✗Workloads that must run in your own data center, because no self-hosted product is published
- ✗Production teams on self-serve plans that need a contractual uptime commitment, since the terms of service contain no SLA and describe the service as beta
Deployment
Market Analysis
Pros
- ✓Very wide open-model catalog through one OpenAI-compatible endpoint
- ✓Published plan prices for self-serve tiers
- ✓Documented no-logging stance on prompts and completions
- ✓Dedicated GPU path for teams that outgrow shared capacity
Cons
- ✗Terms of service describe the service as beta and allow supported architectures and models to be changed or de-listed
- ✗SOC 2 Type II is unfinished, with the audit expected by Q1 2027
- ✗Fixed concurrency budgets can return HTTP 429 errors under heavy parallel load, and cold starts vary by model, according to RFP.wiki's September 2026 profile
- ✗A March 2026 r/SillyTavernAI thread reported 3 to 4 minute responses on GLM 4.7, though the poster later said the problem was fixed
- ✗Independent review data is thin: Product Hunt shows no reviews and RFP.wiki found sparse presence on the major review sites
Pricing
Chat
$25/mo
- ✓Unlimited tokens for interactive use by the purchaser
- ✓4 concurrent units
- ✓32K context
- ✓No app, API or background automation traffic
Developer
From $50/mo in credits
- ✓Metered per token
- ✓100 concurrent units
- ✓Up to 256K context
- ✓Credits do not expire
- ✓Production API and background automation allowed
Business
Contact for pricing
- ✓Annual contract with volume pricing
- ✓Dedicated H100, MI325X, B200 and B300 GPUs
- ✓Named engineers and SLA
- ✓Private fine-tunes
As listed on November 9, 2026: Chat is a flat $25 a month and bars API and automation use, Developer bills per token from $50 a month in non-expiring credits, and Business is a quote-based annual contract for dedicated GPUs. The Business SLA terms are not published.
Security & Compliance
Sources
This page was written from 11 sources, 6 on domains other than featherless.ai.
- 1.featherless.ai — pricingvendor
- 2.featherless.ai — aboutvendor
- 3.featherless.ai — termsvendor
- 4.trust.featherless.ai — trust.featherless.ai
- 5.featherless.ai — quickstart guidevendor
- 6.featherless.ai — privacy and loggingvendor
- 7.siliconangle.com — featherless ai pulls 20m scale serverless hosting open sourc
- 8.tech.eu — featherlessai secures 20m to expand serverless platform for
- 9.rfp.wiki — featherless ai
- 10.producthunt.com — reviews
- 11.reddit.sentinel-team.org — 2026 03 27T19%3A01%3A35.929773Z
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