AI API

Oxlo.ai

Oxlo.ai is a privacy-first AI inference API offering request-based pricing for over 45 open-source models.

What is Oxlo.ai?

Oxlo.ai is an AI inference API that provides request-based pricing for a wide range of open-source models, including Kimi K2.6, with a focus on privacy and no data retention.

Oxlo.ai vs Similar AI Tools

Pricing ModelFree, Free Trial, PaidFree, FreemiumFree, Free Trial, Custom PricingFree, Freemium
Free Credits
Key Features
  • Request-based pricing (flat fee per API call, independent of token count)
  • Over 45 open-source and frontier models including Kimi K2.6, DeepSeek, Llama, and Qwen
  • Privacy-first: zero data retention and no training on user prompts
  • Deadline-aware cost optimization for LLM requests
  • Supports OpenAI, Anthropic, and Gemini models
  • No changes to your request - same model and parameters
  • 5-minute setup
  • Completely self-serve, no sales calls
  • MCP server for out-of-the-box integration
  • Usage metering
  • Flexible pricing models (usage, credits, outcomes, hybrid)
  • Margin tracking per customer
Pros
  • Predictable flat-rate pricing eliminates surprise bills from long-context requests
  • Privacy-first: no data retention or training on user inputs
  • Significant cost reduction (claimed 47% average)
  • No changes to your existing code or client
  • Fast 5-minute setup and self-serve onboarding
  • MCP server enables immediate agent integration
  • AI-native billing infrastructure
  • Supports multiple pricing models
Cons
  • Free tier limited to 60 requests per day
  • Request-based pricing may be less economical for very short, low-token requests
  • Added latency for flex requests (about 16% more time to first token)
  • Cost savings only apply to flex-capable models
  • Pricing details not publicly listed
  • Requires technical integration for custom implementations
  • Limited public pricing transparency
  • Primarily focused on AI companies
Best For
  • Teams running large reasoning models in production
  • Developers seeking predictable AI inference costs
  • Developers running high-volume LLM inference
  • Teams looking to reduce AI costs without switching models
  • AI agent developers
  • Agent-first startups
  • AI startups
  • SaaS companies with usage-based billing

How to use Oxlo.ai?

  1. 1Sign up at oxlo.ai and generate an API key.
  2. 2Install the OpenAI Python or Node.js SDK.
  3. 3Change the base_url parameter to https://api.oxlo.ai/v1.
  4. 4Replace your API key with the Oxlo.ai key.
  5. 5Start making API calls with standard OpenAI-compatible code.

Oxlo.ai Key Features

  • Request-based pricing (flat fee per API call, independent of token count)
  • Over 45 open-source and frontier models including Kimi K2.6, DeepSeek, Llama, and Qwen
  • Privacy-first: zero data retention and no training on user prompts
  • Unlimited agentic tool calls with secure failover
  • OpenAI-compatible API for seamless migration
  • Free tier with 60 requests/day and no credit card required

Oxlo.ai Use Cases

  • Chatbots & AI Assistants
  • Document Q&A and RAG
  • Text Generation & Summarization
  • Image Understanding and Classification
  • Speech-to-Text and Text-to-Speech
  • Batch AI Processing

Oxlo.ai Pricing & Free Credits

Oxlo.ai currently operates on a Free, Free Trial, Paid model.

This tool is completely free to use

Free

$0

60 requests per day across 16+ models including DeepSeek V3, Mistral 7B, Whisper, and more.

Pro

$80/mo

1,000 requests per day across all models with 1-day free trial.

Premium

$350/mo

5,000 requests per day across all models.

Oxlo.ai Pros & Cons

Pros

  • Predictable flat-rate pricing eliminates surprise bills from long-context requests
  • Privacy-first: no data retention or training on user inputs
  • Wide selection of open-source and frontier models
  • Drop-in replacement for OpenAI SDK with only a base_url change

Cons

  • Free tier limited to 60 requests per day
  • Request-based pricing may be less economical for very short, low-token requests
  • Smaller overall model catalog compared to some token-based providers

What is Oxlo.ai best for?

  • Teams running large reasoning models in production
  • Developers seeking predictable AI inference costs
  • Privacy-conscious organizations
  • Long-context workloads like RAG and document analysis

Oxlo.ai FAQ

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