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Trinity Large Thinking

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Why This Matters

OpenRouter's Trinity Large Thinking API provides a standardized way for developers to access reasoning-enabled AI models, enhancing transparency and interpretability of AI outputs. This development is significant for the tech industry as it promotes more explainable AI systems, fostering trust and broader adoption among consumers and enterprises alike.

Key Takeaways

Sample code and API for Trinity Large Thinking OpenRouter normalizes requests and responses across providers for you.

Create API key

OpenRouter supports reasoning-enabled models that can show their step-by-step thinking process. Use the reasoning parameter in your request to enable reasoning, and access the reasoning_details array in the response to see the model's internal reasoning before the final answer. When continuing a conversation, preserve the complete reasoning_details when passing messages back to the model so it can continue reasoning from where it left off. Learn more about reasoning tokens.

In the examples below, the OpenRouter-specific headers are optional. Setting them allows your app to appear on the OpenRouter leaderboards.

Using third-party SDKs

For information about using third-party SDKs and frameworks with OpenRouter, please see our frameworks documentation.

See the Request docs for all possible fields, and Parameters for explanations of specific sampling parameters.