What is Oxlo.ai?

Oxlo.ai is an AI inference platform designed for developers who want to run multiple open-source language models without worrying about token limits. Instead of the typical token-based pricing model, Oxlo charges per API request, which can be more predictable for applications with variable output lengths. The platform supports over 40 open-source models including Qwen 3 32B, Llama 3.3 70B, DeepSeek R1, Mistral, Whisper, and SDXL through an OpenAI-compatible API. This means developers can integrate Oxlo into existing applications built for OpenAI without major code changes. A free tier is available for developers wanting to test the platform before committing to paid usage.

Key Features

Request-based pricing

pay per API call rather than per token, making costs easier to forecast

40+ open-source models

access to recent models like Qwen 3, Llama 3.3, and DeepSeek R1

OpenAI-compatible API

drop-in replacement for OpenAI endpoints in existing code

Unlimited tokens per request

no artificial caps on output length within model limits

Multi-modal support

includes text models, speech-to-text (Whisper), and image generation (SDXL)

Free tier

test models and the API without payment

Pros & Cons

Advantages

  • Request-based pricing is simpler to budget for than token counting, especially for variable-length outputs
  • Wide selection of current open-source models in one place reduces vendor lock-in
  • OpenAI-compatible API means minimal migration effort from existing OpenAI integrations
  • No token limits per request gives flexibility for longer outputs

Limitations

  • Reliance on open-source models may lack some capabilities of proprietary alternatives like GPT-4
  • Request-based pricing can become expensive for high-volume applications with short responses

Use Cases

Building chatbots and conversational AI without OpenAI dependencies

Running batch processing tasks on documents where output length varies significantly

Testing different open-source models during prototype development

Transcription and audio processing with Whisper models

Image generation workflows using SDXL