Added on Sep 11,2026

OurToken is a unified LLM API platform that lets developers access and manage multiple AI model providers through a single integration.
It supports providers such as OpenAI, Claude, GLM, MiniMax, and DeepSeek, allowing applications to switch between models without maintaining separate APIs, integrations, or billing workflows.
The platform also provides model usage tracking, token consumption and cost monitoring, and prompt routing.
Developers can route each request to the model that best fits their needs based on capabilities, pricing, and provider availability, making it easier to optimize performance and AI infrastructure costs.
Use Cases
Multi Model API: Access multiple AI model providers through a single API integration.
LLM Routing: Automatically route prompts to suitable models based on capabilities, cost, or availability.
Model Switching: Change AI providers or models without rebuilding an application's integration.
AI Cost Optimization: Compare model pricing and usage to identify more cost-effective options.
Token Tracking: Monitor token consumption across different models and providers.
Usage Monitoring: Analyze AI workload patterns and understand how models are being used.
AI Application Development: Provide a consistent LLM integration for applications using multiple AI providers.
Production AI Workloads: Manage multi-provider model access for production applications.
AI Model Testing: Experiment with different models and providers through a unified integration.
Provider Management: Reduce the complexity of maintaining separate APIs for different AI providers.
Prompt Optimization: Match individual prompts with models based on their capabilities and requirements.
Performance Optimization: Compare available models to find options that balance performance and cost.
API Simplification: Use one integration instead of building and maintaining multiple provider connections.
AI Infrastructure: Centralize model access and management for applications using multiple LLMs.
Multi Provider Strategy: Avoid dependence on a single AI provider by keeping multiple models available.
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