Oxlo.ai
Scale across AI models without scaling your bill
1.1K followers
Scale across AI models without scaling your bill
1.1K followers
Most AI teams pick a model first and discover the bill later. We built Oxlo.ai to change that. Access 35+ frontier AI models including DeepSeek V4 Pro, Kimi K2.6, GLM 5, Qwen, Llama, and Mistral through a single API. Compare models, calibrate responses, and choose the right model for each use case. Scale across AI models with predictable monthly subscriptions, benchmark-grade performance, generous usage limits, and we never train on your data.
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Launch Team / Built With
LayerProof
Congrats on the launch! Scaling frontier AI models through a single API sounds incredibly useful, especially for keeping track of costs. I can definitely see how valuable this is for teams trying to build quickly without breaking the bank.
I'm curious about how the dashboard works for tracking bills: does it give you a real-time breakdown of which specific models are running up the highest costs?
Love what you guys are building here! 🙌
Oxlo.ai
@creativewjordyn Thank you so much Jordyn!
Yes, the dashboard gives you a real-time breakdown of your usage across models, including requests, tokens, and estimated value consumed. Since you’re on a fixed subscription, it’s less about tracking what you’ll be billed and more about understanding where your usage is going and how different models are being utilized.
That visibility also helps teams compare models and optimize their workloads over time without worrying that experimenting with a different model will suddenly increase their bill.
The cost optimization angle is real -- we use multiple models across different tasks in our dev tooling and the billing fragmentation gets painful fast. A single API with smart routing that keeps the bill predictable is exactly what that workflow needs. Congrats on the #2 spot yesterday.
Oxlo.ai
@schott_taylor Thank you so much Schott!
That’s exactly the problem we’re trying to solve. We’d love for you to give Oxlo.ai a try and hear your feedback. Since you’re already working with multiple models, I think you’ll have a good sense of where we can improve and what would make the platform even more useful for your workflow.
Oxlo.ai
@etiennegarcia Thanks Etienne,
That was a great catch, we will fix that typo soon!!
Oxlo.ai
@etiennegarcia Fixed already!!
@barath_kanna_bk fast fix!! 💪 btw noticed another small bug: when I’m inside the docs page, clicking the logo reloads the docs instead of taking me back to the homepage and it also stacks up in browser history, so pressing back shows the same docs page multiple times, basically as many times as I clicked the logo before.
Oxlo.ai
@etiennegarcia Double thanks for catching that and taking the time to explain it so clearly! That’s really nice of you.
We’ll get it fixed ASAP.
@barath_kanna_bk No worries! Honestly I just got a bit into the product and the docs while checking it out and noticed it by accident lol. Glad it helps!
Routing across AI models feels like it'll become infrastructure that most users never even think about.
Curious—do teams usually adopt Oxlo to reduce costs first, or because it unlocks workflows they couldn't build before?
Feels like a good fit for people building agents or internal tools where you don’t want to constantly track token consumption. Congrats @megha_varshini and other makers! looks solid.
Oxlo.ai
@hamza_afzal_butt Thanks Hamza,
Yes, most of our users feel the same too.
ReplyMind
Big congrats 🙌 Oxlo.ai solves a real pain point. predictable costs while switching between models is a game-changer.
Oxlo.ai
@moon10 Thanks Moon,
Curious if you are currently using any models in production.
Congratulations on the launch :)
Oxlo.ai
@yashchoudhary Thanks Yash,
Curious if you're working with any AI models through an API.