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GPT-5.2

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OpenAI's multimodal model for large-scale file, image, and text tasks.

OpenAIMultimodalClosed
Vision
Model page
Updated 2026-06-14

About GPT-5.2

GPT-5.2 combines text, image, and file processing in a single system developed by OpenAI. Its 400,000-token context window allows handling of extended documents and conversations. The model remains proprietary with parameters not publicly disclosed.

It supports complex workflows that involve analyzing mixed media inputs simultaneously. This design enables coherent responses across different data types without requiring separate specialized tools. Users benefit from its unified architecture for tasks that span multiple modalities.

Typical applications include document analysis, visual question answering, and content generation from combined sources. Developers integrate it into platforms needing reliable multimodal capabilities. Its closed nature means access occurs through official OpenAI channels.

Capabilities

Long-context reasoning
Multimodal input handling
Image understanding
File content analysis
Text generation
Cross-modal integration

How GPT-5.2 compares

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

Price

USD per 1M output tokens · Lower is better · GPT-5.2 ranks #85 of 110

$10.0
GPT-5.1 Chat
$12.0
Gemini 3.1 Pro Preview Custom Tools
$12.0
Gemini 3.1 Pro Preview
$12.0
Google Gemini Pro Latest
$12.5
Nova Premier 1.0
$14.0
GPT-5.2-Codex
$14.0
GPT-5.2
$14.0
GPT-5.3-Codex
$14.0
GPT-5.2 Chat
$14.0
GPT-5.3 Chat
$15.0
GPT-5.4
$15.0
Claude Sonnet 4.6
$15.0
Claude Sonnet 4.5

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

Best for

Long Document Reasoning

GPT-5.2 processes and reasons across its full 400,000-token context, enabling coherent analysis of entire books, codebases, or multi-chapter reports in a single session.

Multimodal Report Generation

It combines image understanding with file content analysis to produce integrated text outputs from mixed inputs such as charts, diagrams, and accompanying documents.

Cross-Modal Data Integration

The model links visual elements to textual data for tasks like extracting insights from image-embedded PDFs or generating summaries that reference both modalities.

Strengths & limitations

Strengths

  • +Extensive context window
  • +Support for files, images, and text
  • +Unified multimodal processing
  • +Scalable document-level analysis

Limitations

  • High resource use with maximum context
  • No native audio or video modalities
  • Risk of diluted focus in very long inputs

Cost calculator

Estimate what GPT-5.2 would cost for your usage.

$0.00875
per request
$87.5
estimated / month

Based on GPT-5.2'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",
  messages: [{ role: "user", content: "Hello!" }],
});

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

Model slug: openai/gpt-5.2

Editor's verdict

Our take on GPT-5.2

GPT-5.2 is OpenAI's proprietary multimodal with a 400K-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 extensive context window and support for files, images, and text.

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Frequently asked questions

GPT-5.2 provides a context window of 400,000 tokens.

User reviews

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Other GPT models

Sibling versions in the GPT family from OpenAI.

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