Stop overpaying for AI tokens. LLMRouter is an OpenAI-compatible API that automatically finds the lowest-cost provider for every request. Save up to 50% on GPT, Claude, Gemini, DeepSeek, Qwen, GLM, and more through one endpoint. Switch by changing your base URL and choose flexible SLAs for even lower costs.
Hi Product Hunt! 👋
I'm the maker of LLMRouter.
We built LLMRouter because AI developers are paying too much for inference. The same model can cost dramatically different amounts depending on where you buy it.
Our goal is simple: make AI tokens as cheap as possible.
Here's how we reduce your bill:
💰 We negotiate volume pricing with providers.
🔀 We automatically route requests to the lowest-cost provider.
📦 We batch non-urgent workloads for additional savings.
🖥️ We serve selected open models ourselves when it's cheaper.
💸 We charge only a 1% platform fee (vs. 5% on OpenRouter).
The result is one OpenAI-compatible API that can reduce AI costs by up to 50%, often with just a base URL change.
I'd love to hear your feedback:
* Which models or providers should we add next?
* What's the biggest challenge you have with AI inference costs today?
I'll be here throughout the day to answer every question. Thanks for checking out LLMRouter!
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Would love to see a simple dashboard view showing which model each request ended up on and how much it saved versus what the bill would have been on my default provider. Tracking the actual wins would make it way easier to justify keeping the tool on long term.
@dnd113168 i guess you mean "moderate" model like claude sonet 5 when you say "default provider"? people use different models. I am wondering how LLMrouter knows your default provider.
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One thing I'd love to see is a built-in spend dashboard with per-team or per-project breakdowns, since figuring out which features or services are driving our token costs right now means digging through raw logs.
@enolgneypnpqwr good point. will be the next feature to build
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Been waiting for something like this, the per-request routing is smart. One thing that would seal the deal for me is a built-in cost dashboard showing what each model actually saved versus what I would have spent going direct, broken down weekly. Helps justify the swap to my team.
The OpenAI-compatible drop-in approach is genuinely smart, no rewrites needed just to chase cheaper inference. Really clean execution on something that's been a pain for a while.
@zekio0r2 thanks. there are tons of dirty works to achieve this. for exmaple, maintaining update-to-date price is a pain. some models do not give us price of each model and api requests
Zeus
Would love to see a simple dashboard view showing which model each request ended up on and how much it saved versus what the bill would have been on my default provider. Tracking the actual wins would make it way easier to justify keeping the tool on long term.
Zeus
@dnd113168 good point. will add it soon.
Zeus
@dnd113168 i guess you mean "moderate" model like claude sonet 5 when you say
"default provider"? people use different models. I am wondering how LLMrouter knows your default provider.
One thing I'd love to see is a built-in spend dashboard with per-team or per-project breakdowns, since figuring out which features or services are driving our token costs right now means digging through raw logs.
Zeus
@enolgneypnpqwr good idea. i am going to build that soon.
Zeus
@enolgneypnpqwr good point. will be the next feature to build
Been waiting for something like this, the per-request routing is smart. One thing that would seal the deal for me is a built-in cost dashboard showing what each model actually saved versus what I would have spent going direct, broken down weekly. Helps justify the swap to my team.
Zeus
@ramazan9mbr good idea. will buid this soon.
The OpenAI-compatible drop-in approach is genuinely smart, no rewrites needed just to chase cheaper inference. Really clean execution on something that's been a pain for a while.
Zeus
@zekio0r2 thanks. there are tons of dirty works to achieve this. for exmaple, maintaining update-to-date price is a pain. some models do not give us price of each model and api requests