What is OurToken.ai?

Ourtoken provides a unified LLM API for accessing OpenAI, Anthropic Claude, Google Gemini, GLM, Minimax and other models from a single integration point.Developers can compare model capabilities, context windows and provider pricing to choose models for specific workloads.

The platform supports prompt routing to match requests to models by capability, latency and cost.A single OpenAI-compatible endpoint and API key management reduce the need for separate provider integrations and billing flows.

Built-in usage tracking and token accounting surface request history, token consumption and cost patterns for monitoring and optimization.Teams can switch providers or models without rebuilding application integrations, enabling multi-provider deployment and failover.

The service centralizes model discovery, routing and monitoring for developer and enterprise LLM workloads.

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OurToken.ai's key features

Unified LLM API aggregating OpenAI, Anthropic Claude, Google Gemini, GLM, Minimax and other models into a single integration point
Model comparison and discovery across model capabilities, context windows, and provider pricing
Prompt routing that matches requests to models by capability, latency, and cost
OpenAI-compatible endpoint with centralized API key management for unified provider integration
Built-in usage tracking and token accounting surfacing request history, token consumption, and cost patterns

OurToken.ai use cases

Build a production-grade, multi-provider conversational assistant using the unified LLM API's single endpoint to route prompts to OpenAI, Anthropic, Gemini and others based on latency, cost and capability with automatic API key management and failover
Run A/B experiments and benchmarks across providers by routing identical prompts to different models, tracking token usage and per-request cost from one API to identify the best-performing model for translation, summarization or code generation
Implement per-tenant token tracking, cost attribution and automated routing policies that send high-volume or non-sensitive requests to lower-cost providers while reserving premium models for complex tasks, simplifying billing and optimizing overall LLM spend