Oxlo.ai: A Privacy-First, Request-Based Inference Platform for AI Teams

Overview

Oxlo.ai is a platform built for developers and AI teams who need reliable and private access to artificial intelligence models. It acts as a bridge that lets users run over 45 open-source models, including the powerful Kimi K2.6. The platform focuses on giving teams clear control over their costs and data. Unlike many other services that charge based on how many words an AI processes, Oxlo.ai charges a flat fee for every single request. This means the price stays the same whether a user sends a short message or a very long document. The platform also promises to never store user data or use it to train its models, ensuring complete privacy.

Benefits

Oxlo.ai offers several key advantages for teams building AI applications. The most important benefit is its unique pricing model. Because it charges per request instead of per token, costs remain predictable. A simple query costs the same as a complex one with thousands of words. This eliminates surprise bills that often happen with long-context tasks like analyzing large documents or running complex reasoning chains.

Another major benefit is the strict privacy policy. The platform does not sell user data and never uses input or output data to train its models. All data remains the property of the user. This builds trust for teams handling sensitive information. The platform also supports a wide variety of models covering text, code, images, audio, and object detection. This allows teams to choose the right tool for specific jobs without needing multiple different providers.

For developers, the integration process is smooth. Oxlo.ai is compatible with standard OpenAI tools. Teams can switch to Oxlo.ai by simply changing one line of code. This means existing projects can move to the new platform without needing a complete rewrite. The infrastructure is designed for reliability with secure failover mechanisms to keep applications running smoothly.

Use Cases

Teams use Oxlo.ai for a wide range of applications. It is ideal for building chatbots and internal assistant tools that need to handle complex tasks. The platform excels in document question and answer systems, often called RAG. Users can upload large PDFs or knowledge bases and ask questions without worrying about high costs for long text processing.

Content creators can use the platform for text generation tasks like summarizing articles or rewriting content. The image and audio capabilities allow teams to build tools that can understand pictures or convert speech to text and vice versa. The object detection models are useful for applications that need to identify items in images or video feeds. Batch processing is another strong use case, allowing teams to handle large volumes of AI requests efficiently through asynchronous workflows.

Pricing

Oxlo.ai offers a clear pricing structure that focuses on request volume rather than word count. There is a free tier that allows users to make 60 requests per day across more than 16 models. No credit card is required to start using the free plan. For teams with higher needs, there is a Pro Plan priced at $80 per month. This plan includes up to 1,000 requests per day. There is also a Premium Plan available for $350 per month, which supports up to 5,000 requests per day. The platform also offers a 15% discount on current AI inference bills for team spending up to $20,000 per month.

Vibes

Public reception highlights the platform as a strong alternative for teams tired of unpredictable token-based pricing. Users appreciate the ability to run frontier-class models like Kimi K2.6 without the cost scaling linearly with context length. Benchmarks show that Kimi K2.6 performs very well in areas like deep search and coding tasks, often matching or beating top-tier models from other major labs. The community values the privacy-first approach and the ease of switching from other providers without code refactoring. Reviews suggest it is a robust choice for building reliable chatbots and complex agentic workflows.

Additional Information

Oxlo.ai has established itself as a notable player in the AI inference space by offering a unique value proposition. The platform supports over 40 models across seven distinct categories including text, code, vision, image generation, audio, embeddings, and detection. It positions its Kimi K2.6 model as a top performer in critical benchmarks such as DeepSearchQA and LiveCodeBench. The company has gained attention for its commitment to not selling data or using user inputs for model training. This focus on privacy and cost clarity has made it an attractive option for developers looking for a reliable and secure infrastructure for their AI projects.