技术规格

GPT-5.2 No Thinking

GPT-5.2 No Thinking represents the latency-optimized configuration of OpenAI's flagship series, specifically engineered to provide immediate responses by bypassing the internal chain-of-thought processing characteristic of the Thinking and Pro variants. As part of a larger model ecosystem designed for professional knowledge work and agentic workflows, this variant balances high-fidelity output with the computational efficiency required for real-time interactions. It supports the same massive input capacity as the primary series, allowing for the ingestion of substantial codebases and technical documentation in a single inference pass.

The underlying architecture utilizes a dense transformer configuration with Multi-Head Attention (MHA) and absolute position embeddings. This design enables precise handling of long-context dependencies without the overhead of dynamic expert routing. The model is particularly optimized for industrial software engineering and structured data tasks, featuring advanced tool-calling capabilities through the Responses API. It includes technical refinements for context management, such as a specialized compaction endpoint that compresses lengthy conversational history to prevent context window saturation while maintaining semantic integrity.

In practical application, this model serves as a high-throughput engine for developers building responsive tools where user experience depends on minimal time-to-first-token. While it shares the expansive knowledge cutoff and multimodal input capabilities of the GPT-5.2 family, its lack of an explicit reasoning phase makes it most effective for tasks where the logical path is well-defined or provided within the prompt. It is frequently deployed in scenarios involving large-scale code refactoring, technical document summarization, and interactive agentic systems where speed and reliability are prioritized over deep, multi-step deliberation.