A private, flat monthly subscription for open-source LLMs
Hey HN! We've run our privacy-focused open-source inference company for a while now, and we're launching a flat monthly subscription similar to Anthropic's. It should work with Cline, Roo, KiloCode, Aider, etc — any OpenAI-compatible API client should do. The rate limits at every tier are higher than the Claude rate limits, so even if you prefer using Claude it can be a helpful backup for when you're rate limited, for a pretty low price. Let me know if you have any feedback!
A private, flat monthly subscription for open-source LLMs launched on August 28, 2025 with 31 votes, #540 of 8,530 launches that month and more than 90% of that year's launches. The site was still online in September 2026, 1 year on.
In plain words
This service offers flat monthly subscriptions to access open-source language models through an OpenAI-compatible API. It works with coding tools like Cline, Aider, and KiloCode. The service is designed for privacy-conscious developers and provides higher rate limits than Claude at each subscription tier, making it useful as a backup option when other services hit their limits. It targets developers who need reliable LLM access for coding and development tasks.
written from the facts on this page · September 2026
From the sources
Chat with open-source models privately
May 1st of this year, Anthropic launched a flat, monthly subscription to use Claude models inside Claude Code. This was pretty groundbreaking for coding use cases: coding agents tend to consume tokens pretty hungrily, and being able to wrap your coding agent spending into a flat subscription fee meant it was much harder to lose your shirt trying to refactor your codebase. Until now there wasn't a similar subscription for open-source models, so it was harder to justify using them for coding agents. So: today we're launching one. It's $20/month for 125 requests per five hours (3x Claude's $20/month rate limits), or $60/month for 1250 — more than Claude's $200/month Max subscription, at less…from synthetic.new
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