reasoning model

A reasoning model is a generative language or multimodal model designed and tuned to handle complex, multi-step reasoning tasks by allocating more inference resources or explicitly incorporating internal thinking phases before producing a final answer. In current practice, that reasoning is increasingly a tunable setting rather than only a fixed property of a separate model class. The major vendors expose a reasoning effort or thinking level control on their general-purpose frontier models, and they meter the internal deliberation as reasoning tokens that count against the output budget.

These models represent a broader shift toward models that not only generate responses, but also plan, decompose, verify, and refine reasoning internally through long chain-of-thought traces or latent internal reasoning processes.

Related Resources

Course

Accessing Multiple AI Models With the OpenRouter API

Access models from popular AI providers in Python through OpenRouter's unified API with smart routing, fallbacks, and cost controls.

intermediate ai api