This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
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!
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.
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.
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.
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.
About LLMRouter — Cut our token bills by 50% on Product Hunt
“One API. Lowest token prices.”
LLMRouter — Cut our token bills by 50% was submitted on Product Hunt and earned 6 upvotes and 11 comments, placing #142 on the daily leaderboard. 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.
LLMRouter — Cut our token bills by 50% was featured in API (98.4k followers), Developer Tools (515.9k followers), Artificial Intelligence (473.7k followers) and Vercel Day (26 followers) on Product Hunt. Together, these topics include over 195.6k products, making this a competitive space to launch in.
Who hunted LLMRouter — Cut our token bills by 50%?
LLMRouter — Cut our token bills by 50% was hunted by Franklin Yao. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how LLMRouter — Cut our token bills by 50% stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Franklin Yao