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OpenAI: GPT-5.2 Chat

GPT-5.2 Chat, also known as the Instant variant, serves as the fast and lightweight member of the 5.2 model family. It is architected specifically for high-throughput, interactive workloads where low latency and consistent responsiveness are prioritized over deep, prolonged deliberation. The model is designed to be warmer and more conversational by default, making it an ideal choice for creative writing and fluid dialogue. To maintain strong general intelligence while remaining efficient, it employs adaptive reasoning that allows it to selectively engage in deeper processing for complex queries, such as math or coding, without sacrificing speed during typical interactions.

This model represents a significant step in reliability, achieving a hallucination rate of under one percent when browsing is enabled. By focusing on enhanced instruction following and stable short-form reasoning, it provides a trustworthy experience for users who need quick, accurate results. Its design lineage emphasizes a balance between everyday utility and the ability to handle multi-step tasks, positioning it as a versatile tool for developers and users who require a balance of speed and capability. As part of the broader 5.2 family, it reflects a commitment to building systems that are both highly functional and safe for diverse, real-world applications.

Kilo Gatewayopenai/gpt-5.2-chatgpt

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Provider
Kilo Gateway
Model key
openai/gpt-5.2-chat
Release date
Dec 10, 2025
Last updated
Dec 10, 2025
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$1.75
Output token cost
$14.00

Limits

Output tokens
32,000 tokens
Context window
128,000 tokens

Latest news about OpenAI: GPT-5.2 Chat

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Coverage

The Enginuity paper (arXiv 2606.03410) is the only supplied page that explicitly evaluates OpenAI's GPT-5.2 Chat as one of four frontier vision-language models tested on engineering-diagram understanding. The benchmark introduces two tasks over U.S. military service and repair manuals: structured parts-table extraction The paper, authored by researchers from Predii, Oak Ridge National Laboratory, and an independent contributor, was submitted on June 2, 2026, and releases the dataset, annotations, evaluation harness, and per-sample model outputs to support reproducible study of VLM capability on engineering content. GPT-5.2 Chat is th

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