The Developer API for Open Models

Run 40,000+ Open Models Through One Inference API

Call DeepSeek, GLM, Kimi, Qwen and more through one endpoint.

from openai import OpenAI client = OpenAI(   base_url="https://api.featherless.ai/v1",   api_key="your-key" ) # change one line. 40,000+ models.
Discover your perfect model
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Any open model
Flat monthly or pay-as-you-go. No surprise bills.
Drop-in compatible
OpenAI-compatible API. Change one line, keep your code.
Predictable cost
Flat monthly or pay-as-you-go. No surprise bills.

Three steps to your first call

1
Sign up
2
Grab your key
3
Call the API

Built for however you ship

App developers
Ship features, not GPU cluster
AI agents
Built for workloads that run while you sleep
Startups
Go from demo to production
AI Enthusiasts
Run the models nobody else host

Predictable pricing that scales with you

Chat
Built for interactive chat with unlimited tokens.*
$25/month
  • Context size up to 32K
  • 4 concurrent units
Subscribe
Billed monthly. Cancel anytime.
developer
Build production Al with the fastest usage-based inference.
$50 credits/month
  • Context size up to 256K
  • 1 agent environment included
  • Fastest response times
  • Unused credits roll over
  • Billed per token
Credit Amount
Subscribe
Billed monthly. Cancel anytime.
business
Dedicated GPUs and the team to run them.
Custom
  • Dedicated H100, MI325, B200 & B300 GPUs
  • Engineering team included
  • Gets cheaper over time with fine-tuning
  • Burst & failover to Public Cloud
Talk to an Engineer
Annual contracts. Volume pricing.
*Chat plan is for interactive, human-driven use by the purchaser. Not for reselling, app/API traffic, background automation, or benchmarking. Misuse may lead to cancellation without refund.
Your per-token bill is scaling faster than your users? Dedicated capacity is the fix. But GPUs without a team to run them is a hire you didn't budget for. We give you both.
Per-token cost vs dedicated capacity Per-token spend curves upward as usage grows; dedicated capacity rises in flat steps. Past the break-even point, dedicated is cheaper and the gap keeps widening. COST USAGE BREAK-EVEN PER-TOKEN API DEDICATED CAPACITY

Start building with 40,000+ open models.