GPT-4o
VerifiedGPT-4o delivers fast multimodal processing for text, images, and files.
About GPT-4o
GPT-4o was designed by OpenAI as a unified architecture that natively handles multiple input types. Its 128000-token context allows it to process lengthy documents alongside visual data in a single pass. The model remains fully closed-weight and is accessed only through API endpoints.
Strengths include seamless integration of text and image understanding without separate pipelines. It supports file uploads for direct analysis and maintains consistent performance across varied query formats. These capabilities make it suitable for tasks requiring combined visual and textual reasoning.
Typical usage covers document summarization with image references, interactive image description, and file-based question answering. Developers integrate it into chat interfaces, content moderation tools, and multimodal assistants. Its design favors production environments needing reliable cross-modal responses.
Capabilities
Benchmarks & performance
Independent evaluation scores and measured speed.
Source: Artificial Analysis
How GPT-4o compares
GPT-4o (striped bar) vs other multimodal on intelligence, speed and price.
Intelligence
Artificial Analysis Intelligence Index · Higher is better · GPT-4o ranks #75 of 88
Speed
Output tokens per second · Higher is better · GPT-4o ranks #38 of 76
Price
USD per 1M output tokens · Lower is better · GPT-4o ranks #111 of 155
Sources: Artificial Analysis (intelligence, speed) · OpenRouter (price).
Best for
Multimodal Document Review
Processes images and text together to extract insights from mixed-media files such as scanned reports or design mockups.
Extended Codebase Analysis
Handles up to 128000 tokens to review, debug, and refactor large repositories while maintaining context across multiple files.
Complex Visual Problem Solving
Combines image understanding with step-by-step reasoning to tackle tasks like diagram interpretation or scientific figure analysis.
Strengths & limitations
Strengths
- +Strong integration of text and visual inputs
- +Handles extended documents and conversations effectively
- +Versatile across creative, analytical, and technical tasks
- +Natural and coherent output quality
Limitations
- –Can hallucinate on factual or current-event queries
- –Performance varies with prompt clarity and structure
- –No native real-time web access without external tools
Cost calculator
Estimate what GPT-4o would cost for your usage.
Based on GPT-4o's $2.50/1M input · $10.00/1M 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.
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-4o",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(completion.choices[0].message.content);Model slug: openai/gpt-4o
Editor's verdict
GPT-4o is OpenAI's proprietary multimodal with a 128K-token context window.
On independent testing it scores 14.5 on the Artificial Analysis Intelligence Index, running at roughly 102 tokens per second with about 0.89s to first token.
At $10.00 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 strong integration of text and visual inputs and handles extended documents and conversations effectively.
Frequently asked questions
GPT-4o supports a context length of 128000 tokens.
User reviews
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