Oxlo.ai

Product Introduction

1. Definition: Oxlo.ai is a unified AI inference platform and API gateway that provides access to over 35 frontier and open-source large language models (LLMs) through a single, OpenAI-compatible endpoint. It functions as a multi-model router and inference service, abstracting away the complexity of managing individual model providers.
2. Core Value Proposition: Oxlo.ai eliminates unpredictable, scaling API costs for AI teams by implementing a revolutionary request-based pricing model. It enables developers to access multiple AI models—including DeepSeek V4 Pro, Kimi K2.6, GLM 5, Qwen, Llama, and Mistral—with a flat monthly subscription, offering cost clarity, benchmark-grade performance, and a strict zero-data-retention privacy guarantee.

Main Features

1. Unified Multi-Model API Gateway: Oxlo.ai provides a single RESTful API endpoint (api.oxlo.ai/v1) fully compatible with the OpenAI Python and Node.js SDKs. This technical integration means developers can switch from providers like OpenAI, Together AI, or Fireworks AI by changing only the base_url parameter and API key. All core functionalities, including streaming, function calling, JSON mode, vision processing, embeddings, and image generation, work identically, supporting models like Llama 3.3 70B, Qwen 3 Coder 30B, and Gemma 3 27B without code rewrites.
2. Revolutionary Request-Based Flat-Rate Pricing: Unlike traditional per-token billing models, Oxlo.ai charges a fixed monthly fee per plan for a set number of daily API requests, regardless of input/output token length. The Pro plan ($80/month) includes 1,000 requests per day across all models, while the Premium plan ($350/month) offers 5,000 requests per day. This model provides predictable infrastructure costs and is mathematically advantageous for long-context workloads (e.g., 50K-token RAG pipelines) where token-based costs would escalate linearly.
3. Comprehensive Model Portfolio & Privacy-First Inference: The platform hosts a curated catalog spanning text, code, vision, audio, embedding, and detection models, including DeepSeek R1 671B, Kimi K2.6, Whisper v3, and YOLOv11. Oxlo.ai operates on a strict zero-data-retention policy, guaranteeing that no customer prompts, outputs, or usage data are ever used for model training or sold to third parties. This makes it a secure inference stack for building production AI agents and processing sensitive data.

Problems Solved

1. Pain Point: Unpredictable and Scaling AI Inference Costs. Teams using per-token priced providers face opaque billing where costs increase unpredictably with prompt length and query volume. This makes budgeting for AI infrastructure difficult, especially for applications involving long documents or extensive reasoning chains.
2. Target Audience: The primary audience includes AI/ML Engineers, Developer Teams at Startups and Enterprises, and Technical Founders building applications with LLMs. It is particularly valuable for teams running high-volume or long-context inference workloads and those prioritizing cost optimization without sacrificing model performance.
3. Use Cases: Essential for building and scaling chatbots & AI assistants, document Q&A and RAG systems, text generation & summarization pipelines, batch AI processing, and multi-modal applications (e.g., image understanding with YOLOv11, speech-to-text with Whisper v3). It is also critical for developers seeking to compare and calibrate multiple frontier models (like DeepSeek V3.2 vs. Kimi K2.6) within a single workflow to choose the optimal model for each specific task.

Unique Advantages

1. Differentiation vs. Competitors: Oxlo.ai fundamentally differentiates itself from inference providers like Together AI, Fireworks AI, OpenRouter, and Replicate by replacing token-based billing with request-based pricing. While competitors charge $0.0002 - $0.003 per 1K tokens, Oxlo.ai's flat fee means a 100-token request costs the same as a 50,000-token request. This can result in 10-100x cost savings for long-context applications. It also stands out by offering a generous free tier (60 requests/day) without a credit card and a 1-day free trial for paid plans.
2. Key Innovation: The key technological and business innovation is the request-based pricing model for AI inference. This approach decouples cost from prompt complexity, making expenses completely transparent and fixed. It is supported by a production-ready infrastructure that ensures high availability and enterprise-grade reliability for running open-source and frontier models at scale.

Frequently Asked Questions (FAQ)

1. What is request-based pricing and how does it differ from token-based pricing? Request-based pricing means you pay a flat, fixed fee per API call regardless of the number of input or output tokens. Unlike token-based pricing from OpenAI or other providers where cost scales linearly with token count, Oxlo.ai's model makes your AI inference bill predictable and often significantly cheaper for long-context or complex reasoning tasks.
2. How do I switch my existing application from OpenAI or Together AI to Oxlo.ai? Switching is designed to be trivial. You only need to change the base_url parameter in your OpenAI SDK configuration to https://api.oxlo.ai/v1 and update your API key to the one generated in your Oxlo.ai account. All existing code for streaming, function calling, and model interaction remains fully compatible.
3. Does Oxlo.ai use my data for model training, and what is its privacy policy? No. Oxlo.ai operates on a zero-data-retention and never-train-on-your-data policy. Your prompts and outputs are processed solely to generate your API response and are never stored, used for training, or sold to third parties. This is a core part of their privacy-first inference stack.
4. Which models are available on the free tier, and what are the limits? The Oxlo.ai free tier provides 60 API requests per day with access to 16+ models, including DeepSeek V3, Mistral 7B, Gemma 3 4B, Whisper (STT), Kokoro (TTS), BGE-Large (embeddings), and YOLOv11 (object detection). No credit card is required to sign up and test.
5. How does Kimi K2.6's performance on Oxlo.ai compare to other frontier models? According to benchmark reports, Kimi K2.6 (available on Oxlo.ai) demonstrates frontier-class performance, outperforming or matching models like GPT-5.4, Claude Opus 4.6, and Gemini 3.1 Pro on key benchmarks. It leads on DeepSearchQA (f1: 92.5), HLE-Full with tools (54.0), and SWE-Bench Pro (58.6), making it a top-tier choice for agentic and coding tasks through Oxlo.ai's platform.