Unlimited LLM tokens.
One flat monthly price.
Self-hosted Llama 3.3 70B and Qwen 2.5 72B on dedicated GPU. OpenAI and Anthropic fallback when local is busy. OpenAI-compatible API. No per-token billing, no surprise invoice, no usage anxiety.
Join the early access waitlist
Self-hosted GPU is being configured. Reserve your access. No card required.
Flat pricing
$29/mo unlimited Llama 70B. $79/mo with OpenAI fallback. $199/mo full team tier. No tokens, no rate-anxiety math.
Self-host first
Dedicated RTX 4090 + W6800 running vLLM. Fallback to OpenAI / Anthropic only when local saturates. You see one OpenAI-compatible endpoint.
OpenAI-compatible
Drop-in replacement for openai.chat.completions.create(). Change base_url, keep the rest of your code. Works with LangChain, Pydantic AI, Vercel AI SDK.
Why flat
OpenAI charges per token. Anthropic charges per token. Anyone cost-anxious about LLM has the same loop: throttle the prompt, limit the chain depth, skip the eval batch. The cost of being careful is bigger than the cost of being generous, but the bill is what you see.
We absorb the math. You get a flat monthly price and unlimited tokens on the self-hosted models. We run dedicated GPU. The model costs us a fixed monthly amount regardless of your usage, so we can pass that through as flat pricing.