Show HN: A private, flat monthly subscription for open-source LLMs (synthetic.new)

31 points by reissbaker ↗ HN
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!

9 comments

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I was literally just wishing there was something like this, this is perfect! Do you do prompt caching?
Do you plan to offer a high-quality FIM models in the bundle? Would be handy to perform autocompletion locally, say via the Qwen3-coder.
Can this be provided as an API?
how would I point to your API to use in a Mastra ai agent?
I'm not deeply familiar with Mastra, but reading their docs, it looks like they use the Vercel AI SDK — which is great, since Vercel's AI SDK can work with any OpenAI-compatible API, including ours. All you need to do is set a custom API base URL; in our case, that's https://api.synthetic.new/v1

Then just plug in your Synthetic API key, and you should be able to use any supported model. For example, to use GLM-4.5, you'd pass the following model string: "hf:zai-org/GLM-4.5"

The AI SDK docs are here for using custom base URLs: https://ai-sdk.dev/docs/ai-sdk-core/provider-management

You can also join our Discord if you need help! https://synthetic.new/discord should redirect you to our Discord server :)

Cool!

How are messages counted? For example, in Cursor, one request is 25 tool calls. Does 100 messages in a subscription here mean 100 tool calls or 100 requests each with 25 tool calls?

When it comes to privacy, there are also some questions. It says that requests can only be used for debugging purposes, but it later mentions a license for using the requests to improve the platform, which can mean that you can use it not only for debugging purposes.

I currently use Cerebras for qwen3. One of the things I like is its speed(the TPM limit is rough). I am curious, how fast is qwen3 on your platform and what quantization are you running for your models?
I signed up, feels like this is something that should've existed long ago.

Your privacy policy isn't good for a privacy focused provider though. You shouldn't have the rights to use my personal information. The use of Google Tag Manager also not inspire confidence, especially in LLM pages where you might "accidentally" install a user monitoring script and the prompts get logged. I'd suggest looking at how Kagi do the marketing to privacy-conscious customers.

I've taken a look. Interesting, but you don't specify which payment methods you accept, and your website lacks a contact form for asking that or anything else.