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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Swytchcode
This is really wonderful. But how can you have predictable pricing? Do you limit the user upon reaching a certain threshold?
Oxlo.ai
@chilarai Thanks for the comment, Chilarai!
We offer two subscription plans for different stages of builders: one includes up to 1k calls / day, and the other includes up to 5k calls / day. These plans are designed for developers, solo builders, and early-stage teams.
For customers who need higher limits, we offer custom fixed price plans based on their historical usage. We commit to a fixed monthly price that is at least 15% lower than their current AI spend, with a usage ceiling of up to 1.5× their committed usage.
This gives teams room to grow while keeping their AI infrastructure costs predictable.
Prelint
👋 Congrats on the launch, do you plan to support Kimi 2.7 in the near future?
Oxlo.ai
@wojtekszkutnik Thanks Wojtek.
Kimi K2.7 is coming up ver soon on Oxlo.ai.
Congratulations on the launch Barath.
From a governance standpoint do you have any additional layer or just rely completely on what model provide out of the box.
Oxlo.ai
@kiran_kadekoppa Thank you Kiran!
Today, we primarily rely on the safeguards and moderation capabilities provided by the underlying models. Our focus has been on providing a reliable, API layer with predictable pricing.
That said, as we onboard more enterprise customers, additional governance features such as centralized policies, usage controls, and organization-level guardrails are definitely on our roadmap.
Isn't this a transfer station?
Oxlo.ai
@chen_rex Not quite. Unlike API routers such as OpenRouter, we self-host the models ourselves rather than forwarding requests to third-party providers.
That gives us control over the serving infrastructure and lets us offer a fixed subscription pricing, while developers still choose which model to use.
Congrats on the launch! The fixed monthly bill is the part that I like most here. We run an agent that fires a few hundred model calls per task and we know its the variance that wrecks budgeting, never the average
Oxlo.ai
@artstavenka1 Thanks Art,
Curious what kind of models you're using. Some of our users run multiple claw instances backed by Kimi K2.6.
@barath_kanna_bk same!
Oxlo.ai
@artstavenka1 Awesome, which provider are you using currently and how are the costs?
Oxlo.ai
@sidraarifali Yes sidra,
That is absolutely right, earlier when we were building an agentic for ourselves we saw our bills go from $100 / month to around $2000 in a matter of weeks, the problem was not the costs but how quickly they went up insidiously!!
If you could convince a developer to switch to Oxlo AI in just one sentence, what would your pitch be? I'm curious what you consider your biggest competitive advantage.
Oxlo.ai
@sameerkatel Access 35+ frontier AI models through one API and one monthly subscription, so you can focus on building instead of managing infrastructure.