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GPT-5.4

Verified

Multimodal model excelling at large-scale text, image and file tasks.

OpenAIMultimodalClosed
Function callingJSON modeStructured outputsReasoningVision
Model page
Updated 2026-06-14

About GPT-5.4

GPT-5.4 was designed by OpenAI as a closed-weight system that integrates text, image and file modalities. Its architecture supports an exceptionally large context window, allowing it to ingest and reason over extensive combined inputs without requiring parameter details to be disclosed.

Strengths center on maintaining coherence across very long multimodal sequences. This enables reliable handling of documents that mix lengthy text passages with embedded images or attached files.

Typical usage includes research analysis, content summarization and workflow automation where users must process substantial multimodal datasets in a single session.

Capabilities

Long-context reasoning
Vision understanding
File analysis and processing
Multimodal input handling
Text generation and summarization
Cross-modal reasoning

How GPT-5.4 compares

GPT-5.4 (striped bar) vs other multimodal on intelligence, speed and price.

Price

USD per 1M output tokens · Lower is better · GPT-5.4 ranks #77 of 97

$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 4.5
$15.0
GPT-5.4
$15.0
Claude Sonnet 4.6
$15.0
Anthropic Claude Sonnet Latest
$15.0
Sonar Pro Search
$25.0
Claude Opus 4.8
$25.0
Claude Opus 4.7
$25.0
Claude Opus Latest

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

Best for

Long-form document analysis

Processes and reasons over entire books, legal contracts, or research corpora within its 1,050,000-token context window while maintaining coherence across sections.

Multimodal research review

Combines vision understanding with text generation to interpret charts, diagrams, and images alongside accompanying documents for integrated insights.

Large-scale file processing

Handles multimodal file inputs to extract, summarize, and cross-reference data from mixed text, image, and structured formats in a single pass.

Strengths & limitations

Strengths

  • +Handles extremely large contexts
  • +Seamless text-image-file integration
  • +Strong at document-level tasks
  • +Flexible multimodal workflows

Limitations

  • No native audio or video support
  • Large context can increase latency
  • May need careful prompting for complex tasks

Pricing by provider

Live per-provider pricing & uptime, routed via OpenRouter. Prices are USD per 1M tokens.

ProviderInput /1MOutput /1MContextUptime
OpenAI$2.50$15.001050K99.1%
Azure$2.50$15.001050K100.0%

Cost calculator

Estimate what GPT-5.4 would cost for your usage.

$0.0100
per request
$100
estimated / month

Based on GPT-5.4's $2.50/1M input · $15.00/1M 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-5.4",
  messages: [{ role: "user", content: "Hello!" }],
});

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

Model slug: openai/gpt-5.4

Editor's verdict

Our take on GPT-5.4

GPT-5.4 is OpenAI's proprietary multimodal with a 1050K-token context window.

At $15.00 per 1M output tokens, it is premium-priced for its class, served by 2 providers.

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

Best suited to handles extremely large contexts and seamless text-image-file integration.

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Frequently asked questions

GPT-5.4 provides a context window of 1,050,000 tokens.

User reviews

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