Also referred to as OpenAI 5.2 and ChatGPT 5.2, GPT5.2 targets faster reasoning and stability ahead of the upcoming GPT 5.2 release date.
亦被称为 OpenAI 5.2 / ChatGPT 5.2，GPT5.2 聚焦推理与稳定性，并接近官方公布的 GPT 5.2 发布日期。
Deep optimizations for reasoning, code and long-context tasks—designed for professional users and enterprise workflows.
针对推理、代码与长上下文的深度优化，专为专业用户与企业工作流打造。
Reported industry target date: 2025‑12‑09 — subject to official confirmation.
业内预期发布时间：2025‑12‑09 — 最终以官方公告为准。
// Before: buggy function
function sum(arr) {
let total = 0;
for (let i = 0; i <= arr.length; i++) {
total += arr[i]
}
return total
}
// After: fixed function
function sum(arr) {
let total = 0;
for (let i = 0; i < arr.length; i++) {
total += arr[i];
}
return total;
}
// 修复前：有错误的函数
function sum(arr) {
let total = 0;
for (let i = 0; i <= arr.length; i++) {
total += arr[i]
}
return total
}
// 修复后：正确实现
function sum(arr) {
let total = 0;
for (let i = 0; i < arr.length; i++) {
total += arr[i];
}
return total;
}
This example shows a simple off-by-one bug fixed by GPT‑5.2's code reasoning and repair capability.
此示例展示 GPT‑5.2 在代码推理与修复中的简单 off-by-one 错误修复能力。
GPT‑5.2 maintains context consistency and reduces the loss of intermediate reasoning steps across long chains, decision trees, and multi-turn workflows.
在多轮推理、数学/逻辑题、复杂流程设计与决策树问题上，GPT‑5.2 保持上下文一致性并更少丢失中间推理步骤。
Example: step-by-step legal clause interpretation, or breaking down architecture decisions into executable tasks.
场景示例：法律条款解读分步骤给出合规建议；产品架构设计中逐步拆解决策点并生成可执行建议。
Improvements in code generation, automated testing, debugging, and refactoring—stronger self-checking and multi-turn repair accuracy.
针对代码生成、自动化测试、调试与重构，GPT‑5.2 提高了自检能力与多轮修复准确性。
Example: give a buggy function and receive a fixed version plus an explanation of changes; generate CI pipelines from README.
场景示例：将一段有 bug 的函数交给模型修复并说明变更原因；或根据项目 README 自动生成 CI 流程。
Enhanced stability for summarizing large documents, extracting structured data, and cross-document retrieval.
对大文档（如白皮书、合同、研究报告）做摘要、结构化提取与跨文档检索的稳定性增强。
Example: extract risk points from a 30+ page contract and produce a prioritized review checklist.
场景示例：将数十页合同快速提取出风险点并生成审阅要点。
Adjustable "reasoning depth" and verbosity, plus strict structured-output templates (e.g., forced JSON) for automation pipelines.
支持可调节的“推理深度”和“回答详略”，以及严格结构化的输出模板（例如强制返回 JSON），更方便接入自动化管道。
GPT models still provide baseline multimodal capabilities, but GPT‑5.2 focuses primarily on text, reasoning and productivity optimizations.
GPT 系列仍具备基础的多模态能力，但 GPT‑5.2 此次发布重点放在文本、推理与生产力优化，多模态并非本次主要卖点。
Improvements: higher stability, faster responses, and stronger reasoning and coding capabilities. GPT‑5.1 was an evolutionary step; 5.2 focuses on fundamentals and reliability.
提升点：更高稳定性、更快响应、推理与代码能力更强。GPT‑5.1 是向前演进的一步，而 5.2 更像是对基础体验的重点修复与优化。
Strengths: multimodal/visual tasks, Google ecosystem integration, strong vision reasoning.
优势：视觉/多模态、与 Google 生态整合、视觉推理能力突出。
Traits: fast interactions, engineer-friendly conversational style, strong in short interactions and code benchmarks.
特征：短交互快速、工程师友好、在某些代码基准测试中表现优异。
Traits: conversational safety, coherence, enterprise document workflows; strong in compliance-sensitive scenarios.
特征：对话安全性、连贯性、企业文档流程方面表现稳健；适合合规要求高的场景。
Traits: localization, cost-efficiency and Chinese-language optimization; practical for domestic deployment.
特征：本地化、性价比高、中文语境优化，适合国内部署与成本敏感项目。
Recommendation: choose GPT‑5.2 for text/code/complex reasoning and enterprise stability; Gemini 3 for vision/multimodal; Claude for safety/compliance; Qwen 3 for local/cost-sensitive needs.
综合建议：文本/代码/复杂推理/企业级稳定性首选 GPT‑5.2；视觉/多模态首选 Gemini 3；合规/安全场景考虑 Claude；本地化/成本敏感考虑 Qwen 3。
Multiple media outlets report OpenAI accelerated GPT‑5.2 (also referenced as OpenAI 5.2 or ChatGPT 5.2) under a "code red" initiative. Industry-targeted date cited in reports: 2025‑12‑09. For the official GPT 5.2 release date and announcements, check OpenAI's channels for confirmation.
多家媒体报道 OpenAI 在“code red”模式下加速 GPT‑5.2 发布，业内报道的目标日期为 2025‑12‑09，最终以官方公告为准。
多家媒体将其称为 OpenAI 5.2 或 ChatGPT 5.2。业内报道的 GPT 5.2 发布目标日期为 2025‑12‑09，最终以 OpenAI 官方公告为准。
Access: historically rolled out to paid, enterprise, or beta users first. Migration: run sandbox regression tests and validate critical outputs before switching production workloads.
可用性：历史上 OpenAI 常先向付费/企业/内测用户放量。迁移建议：在沙箱环境做回归测试并验证关键用例后再切换生产。
Media outlets (The Verge, TechRadar, etc.) emphasize the "foundational performance first" strategy. Reddit discussions are mixed: optimism, skepticism, and calls for independent verification.
媒体（如 The Verge、TechRadar 等）关注本次以“基础性能优先”为主的策略。Reddit 社区观点分化：既有期待，也有怀疑，还呼吁第三方验证。
Prediction markets (e.g., Polymarket) and short-term betting show skepticism about rushed release dates—treat such markets as speculative.
预测市场（如 Polymarket）对短期发布的押注显示谨慎态度——这些市场具投机性，应谨慎参考。
Scenario: a multi-step data-processing task requiring validation of inputs, transformation steps, and boundary checks. Legacy models may lose intermediate conditions. GPT‑5.2 maintains context consistency, returns a step-by-step verification checklist, and suggests rollback/repair strategies.
场景：一个多步骤数据处理任务，需验证输入、转换流程与边界条件。旧版模型可能丢失中间条件。GPT‑5.2 能保持上下文一致，返回分步骤检验清单并给出回滚与修复建议。
User: Please validate the following data-cleaning workflow step by step and propose fixes. GPT‑5.2: 1) Input validation 2) Missing-value handling 3) Type conversions 4) Boundary tests Provides two repair strategies for ambiguous handling in step 2.
用户：请对以下数据清洗流程逐步校验并给出修复方案。 GPT‑5.2：1) 输入校验 2) 缺失值处理 3) 类型转换 4) 边界值测试 并对第 2 步中可能导致的歧义给出两种修复策略。
Official pricing has not been published. Suggested access tiers to display: Free Trial, Pro, Enterprise. Final pricing and quotas are subject to OpenAI's official announcement.
官方定价尚未公开。落地页建议展示典型访问层级：免费体验 / Pro / 企业版。具体价格请以 OpenAI 官方公告为准。
No. While hallucination rates are reduced, human verification remains necessary for high-risk domains such as law and medicine.
不会完全消除。虽然幻觉率下降，但在法律、医学等高风险领域仍需人工复核。
Expect compatibility with current ChatGPT/API calls. Run sandbox regression tests, validate formats and latency, and gradually replace production workloads using controllability settings.
预计与现有 ChatGPT/API 调用兼容。建议先在沙箱环境运行回归测试，验证输出格式与延迟，利用可控性选项逐步替换生产工作负载。
Choose GPT‑5.2 for text, code, long-context and production stability. Choose Gemini 3 for vision/video and deep Google-ecosystem integration.
若以文本/代码/长上下文/生产稳定性为主，选 GPT‑5.2；若以视觉/视频/与 Google 生态深度整合为主，选 Gemini 3。
Apply for early access or contact our enterprise team for integrations.
申请内测或咨询企业接入。