What It Does

OurToken is a unified LLM API platform that provides developers with a single integration point to access multiple leading AI model providers. Instead of managing separate API keys, billing accounts, and integration code for each provider, developers can connect once and route requests across OpenAI, Claude, GLM, MiniMax, DeepSeek, and other major LLM providers through one consistent, OpenAI-compatible API.

Who It's For

Built for developers and teams building production AI applications who need reliable multi-provider access without the overhead of maintaining separate integrations. Whether you're prototyping with different models or running scaled AI workloads that require provider flexibility, OurToken simplifies the infrastructure needed to leverage the full LLM ecosystem.

Key Features & Capabilities

• Unified API Interface: OpenAI-compatible API shape that works across all supported providers • Multi-Provider Access: Route requests to OpenAI GPT-4/5 series, Anthropic Claude Opus/Sonnet, Google Gemini, GLM, MiniMax, DeepSeek and more • Model Comparison: Compare capabilities, context windows, and pricing across providers to optimize for each use case • Usage Tracking: Transparent monitoring of request history, token consumption, and costs from a single dashboard • Prompt Routing: Match prompts with the right model based on capability, price, and provider availability • Cached Inputs Support: Optimize costs and latency with caching capabilities • Provider Switching: Change between models and providers without rebuilding application integrations

Typical Workflows

Developers generate an API key in the OurToken dashboard, select models based on their requirements, and make API calls using the unified endpoint. The platform handles provider routing, authentication, and billing consolidation. Teams can experiment with different models for specific prompts, monitor usage patterns, and switch providers as needs evolve—all without code changes.

What Makes It Different

OurToken eliminates the integration complexity of working with multiple LLM providers. Rather than managing separate SDKs, API credentials, and billing relationships, teams maintain one integration point with consistent request/response formats. This approach accelerates development, reduces maintenance overhead, and provides the flexibility to optimize model selection based on evolving capabilities and pricing across the AI provider landscape.