hybrid reasoning model

A reasoning modelreasoning model, n.: An AI model trained to work through a problem step by step in hidden 'thinking' text before it answers. Letting it think longer generally makes it better at math, coding and planning. that can also run as an ordinary fast-answering chat modelchat model, n.: A language model trained to hold a back-and-forth conversation, keeping track of who said what and replying as a helpful assistant. It is the engine inside chat apps., so that one set of weightsweights, n.: The learned numbers inside a neural network that set how strongly each part influences the next. The finished set of weights is, in effect, the trained model itself. serves both modes. Thinking is switched on or off, or scaled, per request through a thinking budgetthinking budget, n.: A limit, set by whoever uses an AI model, on how much private step-by-step reasoning it may do before answering: more thinking usually means better answers but higher cost and slower replies. or effort setting; in later designs the model itself judges whether a query merits deliberation. The approach is an alternative to separate 'thinking' and 'non-thinking' model lines, lets applications trade latencylatency, n.: How long you wait between asking an AI system for something and getting the answer. Lower latency means a snappier, more responsive system. and inference costinference cost, n.: What it costs to use an AI model after it has been built: the computing power, electricity and hardware needed every time it answers, usually billed per chunk of text. against accuracy call by call, and avoids routingmodel routing, n.: Automatically choosing which AI model should answer each request, a cheap quick one for easy questions and a bigger slower one for hard ones, to save money without hurting quality. between two models. Training typically mixes reasoning and non-reasoning data, sometimes with explicit control tokens, so that short answers do not degrade as long reasoning is learned.

Because it's a hybrid reasoning model, we disable thinking for autocomplete and allow 16k thinking tokens for code review.