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GPT-5.2 Chat

Verified

Multimodal chat model handling files, images, and text with 128k context.

OpenAIMultimodalClosed
Vision
Model page
Updated 2026-06-14

About GPT-5.2 Chat

GPT-5.2 Chat integrates multiple input modalities into a single conversational interface. Its architecture supports simultaneous processing of documents, visuals, and written prompts. The model maintains coherence across extended exchanges thanks to its large context capacity.

Strengths include seamless fusion of visual and textual data without requiring separate preprocessing steps. As a proprietary offering from OpenAI it delivers consistent performance on complex queries. Users benefit from reliable handling of mixed-media conversations.

Typical usage involves document analysis paired with image interpretation and follow-up dialogue. Developers integrate it into applications needing rich context retention over long sessions. It suits research, creative workflows, and enterprise tasks that combine diverse data sources.

Capabilities

Multimodal input processing
Long-context reasoning
Image understanding
File analysis
Text generation
Conversational interaction

How GPT-5.2 Chat compares

GPT-5.2 Chat (striped bar) vs other multimodal on intelligence, speed and price.

Price

USD per 1M output tokens · Lower is better · GPT-5.2 Chat ranks #96 of 122

$12.0
Gemini 3.1 Pro Preview
$12.0
Google Gemini Pro Latest
$12.5
Nova Premier 1.0
$14.0
GPT-5.3-Codex
$14.0
GPT-5.2
$14.0
GPT-5.2-Codex
$14.0
GPT-5.2 Chat
$14.0
GPT-5.3 Chat
$15.0
Claude Sonnet 4.6
$15.0
GPT-5.4
$15.0
Claude Sonnet 4.5
$15.0
Anthropic Claude Sonnet Latest
$15.0
Sonar Pro Search

Sources: Artificial Analysis (intelligence, speed) · OpenRouter (price).

Best for

Long Document Summarization with Images

Processes lengthy reports or research papers up to 128k tokens alongside visual elements like charts and diagrams to deliver integrated summaries and insights.

Multimodal Customer Support Scenarios

Handles user queries that combine text descriptions with uploaded images or screenshots for troubleshooting products or services in detail.

Educational Content Analysis

Reviews extensive course materials, textbooks, and lecture visuals to generate explanations, quizzes, or personalized study guides.

Strengths & limitations

Strengths

  • +Seamless handling of text, images, and files
  • +Strong context retention over long inputs
  • +Versatile across diverse query types
  • +Built on established OpenAI multimodal architecture

Limitations

  • Potential for occasional factual inaccuracies
  • No native support for audio or video inputs
  • Performance depends on prompt quality

Cost calculator

Estimate what GPT-5.2 Chat would cost for your usage.

$0.00875
per request
$87.5
estimated / month

Based on GPT-5.2 Chat's $1.75/1M input · $14.00/1M output. Estimate only — actual cost varies by provider and caching.

Quick start

OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. Only the model slug changes between models.

JavaScript · openai
import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://openrouter.ai/api/v1",
  apiKey: process.env.OPENROUTER_API_KEY,
});

const completion = await client.chat.completions.create({
  model: "openai/gpt-5.2-chat",
  messages: [{ role: "user", content: "Hello!" }],
});

console.log(completion.choices[0].message.content);

Model slug: openai/gpt-5.2-chat

Editor's verdict

Our take on GPT-5.2 Chat

GPT-5.2 Chat is OpenAI's proprietary multimodal with a 128K-token context window.

At $14.00 per 1M output tokens, it is premium-priced for its class.

It is available through OpenAI's API and aggregators like OpenRouter.

Best suited to seamless handling of text, images, and files and strong context retention over long inputs.

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Frequently asked questions

The model supports a context window of 128000 tokens for handling extended conversations and documents.

User reviews

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