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Reasoning model

Language models

A reasoning model is a language model trained, notably through reinforcement learning, to work through intermediate thinking before answering: it breaks the problem down, explores options and checks its result. More reliable in maths, code and analysis, it is also slower and more expensive. OpenAI o1 (2024) and DeepSeek-R1 (2025) led the way.

In practice at Gensai

Gensai reserves reasoning models for tasks that justify them, such as analysing complex files, and leaves simple answers to faster models.