Oxlo.ai

Oxlo.ai: The Ultimate Privacy-First Inference Stack for AI Agents

In the rapidly evolving landscape of artificial intelligence, managing infrastructure costs while maintaining high performance is a significant challenge for developers. Oxlo.ai emerges as a revolutionary solution, offering a privacy-first inference stack specifically built for agents and AI teams. By moving away from complex token-based billing and embracing request-based pricing, Oxlo.ai provides cost clarity, security, and access to the world’s most powerful open-source models.

What is Oxlo.ai?

Oxlo.ai is a production-ready AI inference platform that allows developers to run frontier-class models like Kimi K2.6, DeepSeek R1, and Llama 4 Maverick with zero data retention and zero training on user prompts. Unlike traditional providers that charge per token, Oxlo.ai uses a flat fee per API call, making AI infrastructure costs predictable even at scale.

Currently, Oxlo.ai supports over 691 active users across 99 countries, having processed more than 724 million tokens. It provides access to over 45 open-source models, ensuring that teams have the right tools for text generation, vision, audio, and agentic workflows.

Key Features of Oxlo.ai

Oxlo.ai is designed to outperform traditional inference providers by focusing on reliability, scalability, and affordability. Below are the core features that set the platform apart:

1. Request-Based Pricing Model

The most significant advantage of Oxlo.ai is its request-based pricing. While competitors like Together AI or OpenRouter charge per token (input + output), Oxlo.ai charges a flat rate per request regardless of prompt length. This means a 100-token query costs the same as a 50,000-token query, which can make Oxlo.ai 10x to 100x cheaper for long-context workloads like RAG or document analysis.

2. Privacy and Data Sovereignty

Security is at the heart of the Oxlo.ai infrastructure. The platform guarantees:

• Zero Data Retention: Your prompts are not stored.
• Zero Training: Oxlo.ai never uses your data to train models.
• Privacy-First Inference: Your inputs and outputs stay yours.

3. Extensive Model Library

Oxlo.ai supports a diverse range of frontier and open-source models, including:

• Text & Chat: Kimi K2.6, DeepSeek R1 (671B), Llama 3.3 70B, Qwen 3 32B, and GLM 5.
• Reasoning & Coding: Qwen 3 Coder 30B, DeepSeek V4 Flash, and Llama 4 Maverick.
• Vision & Detection: YOLOv11, SDXL, and Oxlo Image Pro.
• Audio: Whisper V3 and Kokoro TTS.

4. Seamless Integration

Oxlo.ai is fully compatible with the OpenAI Python and Node.js SDKs. This ensures that teams can migrate their existing workflows by changing just a single line of code, maintaining access to features like streaming, function calling, and JSON mode.

Use Cases for Oxlo.ai

Teams across various industries utilize Oxlo.ai to power diverse AI applications:

• Chatbots & AI Assistants: Build responsive assistants using Llama 3.3 70B or Qwen 3 32B for internal tools and customer support.
• Document Q&A and RAG: Query massive knowledge bases using BGE-Large embeddings and DeepSeek R1 for high-accuracy retrieval-augmented generation.
• Text Generation & Summarization: Leverage GPT-OSS 120B or Mistral 7B to rewrite or summarize content at scale without worrying about fluctuating token costs.
• Image Understanding: Use YOLOv11 and Gemma 3 27B for advanced object detection and visual classification tasks.
• Speech & Audio: Implement transcription or voice workflows using Whisper Large v3 and Kokoro TTS.
• Batch AI Processing: Efficiently process high volumes of requests with asynchronous workflows using lightweight models like Llama 3.1 8B.

Performance Benchmarks: Kimi K2.6 on Oxlo.ai

Oxlo.ai provides access to models that rival the industry's biggest labs. The Kimi K2.6 model, available on the platform, has shown exceptional performance compared to GPT-5.4 and Claude Opus 4.6:

| Benchmark | Kimi K2.6 | GPT-5.4 | Claude Opus 4.6 | | :--- | :---: | :---: | :---: | | DeepSearchQA (f1-score) | 92.5 | 78.6 | 91.3 | | SWE-Bench Pro | 58.6 | 57.7 | 53.4 | | HLE-Full w/ tools | 54.0 | 52.1 | 53.0 | | DeepSearchQA (accuracy) | 83.0 | 63.7 | 80.6 |

These scores demonstrate that Oxlo.ai delivers frontier-class performance at a fraction of the cost of premium labs.

How to Use Oxlo.ai

Switching to Oxlo.ai is designed to be effortless for developers currently using OpenAI-compatible APIs. Follow these steps to get started:

1. Create an Account: Sign up at oxlo.ai to generate your API key. No credit card is required for the free tier.
2. Update Base URL: In your application code, replace your current provider's base URL with: https://api.oxlo.ai/v1.
3. Set Your API Key: Use the Oxlo API key in your environment variables.
4. Ship: No other code changes are required. All standard features like function calling and vision work out of the box.

Frequently Asked Questions (FAQ)

Is Oxlo.ai an alternative to Together AI or OpenRouter?

Yes. Oxlo.ai is a cost-efficient alternative for teams running large reasoning models in production. It replaces variable token-based billing with a predictable flat monthly rate.

What is request-based pricing?

Request-based pricing means you pay a flat fee per API call. This eliminates the uncertainty of token counts, ensuring that costs do not scale linearly with the size of your prompts or responses.

Does Oxlo.ai offer a free tier?

Yes, Oxlo.ai provides a generous free tier with 60 requests per day across 16+ models, including DeepSeek V3, Mistral 7B, and Whisper. The Pro plan also includes a 1-day free trial.

What are the subscription costs?

• Pro Plan: $80/month for 1,000 requests per day.
• Premium Plan: $350/month for 5,000 requests per day, including high-end models like Llama 3.3 70B.

Does Oxlo.ai train on my data?

No. Oxlo.ai never sells your data and never uses your prompts or outputs to train any models. Your data remains strictly private.

Ready to build? Create a free account today and start shipping without worrying about your AI bill. Book a call to learn how to save 15% on your current inference spending.