
OpenAI launches GPT-5.1 Instant y Thinking
The new generation of GPT models introduces dynamic reasoning, customizable tones, and more human-like understanding.
OpenAI has introduced GPT-5.1 Instant and GPT-5.1 Thinking, two variants that mark a qualitative leap in the evolution of generative models, by integrating adaptive reasoning, tone control and improvements in language clarity.
The GPT-5.1 Instant model incorporates a groundbreaking capability: adaptive inference. This means the model can decide for itself whether a question requires a quick answer or deeper reflection. Simultaneously, GPT-5.1 Thinking adjusts processing time according to the complexity of the input, enabling faster responses for simple tasks and more elaborate reasoning for complex challenges.
What changes for the user? The interaction becomes more natural. For example, when faced with an emotional query like “I’m stressed, how can I relax?”, the model no longer responds with a generic list, but with contextual empathy: “I understand. It’s a natural reaction considering what you’ve been through lately.” This emotional nuance isn’t just cosmetic: it represents an advance in affective conversational intelligence.
Furthermore, the repertoire of voice tones in ChatGPT has been expanded. In addition to the “basic”, “friendly”, and “efficient” styles, “professional”, “direct”, and “empathetic towards mistakes” are now available, allowing the model’s personality to be adapted to the context of use: from technical support to emotional coaching.
This divergence between Instant and Thinking isn’t just about speed. It’s a statement of intent: OpenAI is building an AI that not only responds, but chooses how to respond. This opens the door to models that manage their own “cognitive time,” a key feature for applications in education, medicine, or legal advice.
With GPT-5.1 Instant and Thinking, OpenAI is redefining the conversational experience by introducing adaptive reasoning and emotional control. This evolution not only improves interaction but also lays the foundation for more autonomous, empathetic, and useful AI in real-world contexts.

