Model Name: GPT-4o
Developer/Creator: OpenAI
Release Date: Released in stages starting in May 2024
Version: Latest iteration of the GPT-4 series
Model Type: Multimodal AI (Text, Vision, and upcoming Audio support)
GPT-4o is OpenAI's flagship model designed to integrate enhanced capabilities across text, vision, and soon, audio, providing real-time reasoning.
Multimodal capabilities: text, vision, and upcoming audio
Improved function calling and JSON mode
Advanced vision capabilities for better image understanding
Enhanced support for non-English languages
Increased rate limits and reduced cost
Find more details in our latest blog post ChatGPT-4o. 7 features you might've missed.
Ideal for developers and enterprises looking to leverage cutting-edge AI across various applications including chatbots, content generation, and complex data interpretation.
GPT-4o can also be used for Medical Imaging because achieves approximately 90% accuracy in interpreting radiology images like X-rays and MRIs. Learn more about this and other models and their applications in Healthcare.
Improved tokenization and support for multiple languages, enhancing its utility in global applications.
Based on the Transformer architecture, optimized for speed and multimodal integration.
Trained on a diverse range of internet text and structured data up to October 2023.
Extensive internet-based dataset, size undisclosed.
Knowledge up to October 2023.
Trained on a diverse dataset to minimize bias and enhance robustness across various demographics.
According to self-released test results by OpenAI, GPT-4o exhibits significantly better or similar scores compared to other LMMs including prior GPT-4 versions, Anthropic's Claude 3 Opus, Google's Gemini, and Meta's Llama3.
Self-released results show that GPT-4o surpasses audio translation by rival models from Meta and Google, as well as OpenAI's own Whisper-v3, the previous state-of-the-art in automated speech recognition (ASR).
Its reaction time to audio inputs is 232 milliseconds on average, with a maximum of 320 milliseconds; this is comparable to the typical human response time during a conversation. In addition to being much quicker and 50% less expensive in the API, it matches GPT-4 Turbo performance on text in English and code and significantly improves on text in non-English languages.
Enhanced ability to handle diverse inputs and maintain performance across different languages and modalities.
OCR is a popular computer vision task that converts images to text. GPT-4o accurately answers “Read the serial number.” and “Read the text from the picture”.
Our next step is to test GPT-4o's performance in extracting important details from images that contain a lot of text. When asked, "How much fee did I pay?" in regard to a receipt and "What is the price of Ham Restaurant?" in reference to a food menu, GPT-4o reliably provides accurate answers for both inquiries.
The latest enhancements in speed, along with visual and audio capabilities, have finally unlocked real-time applications for GPT-4, particularly in the realm of computer vision. Being able to interact with a GPT-4o model in real-time, using live visual data, enables rapid intelligence gathering and decision-making. This capability is invaluable for a variety of tasks, including navigation, translation, guided assistance, and the analysis of complex visual information.
GPT-4 has transformed customer service, fundamentally changing how businesses communicate with their customers. One of the standout applications of GPT-4 in customer support is through chatbots. These AI-driven virtual assistants understand and respond to customer queries more accurately and empathetically, providing round-the-clock personalized support.
Measured on the AI/ML API gateway across live traffic. Figures are medians unless stated. Last updated 2026-10-12.
Real‑time multimodal assistants
Voice-enabled chatbots with instantaneous audio and image understanding—ideal for live support, tutoring, or interactive kiosks.
Long‑form document comprehension
Analyze and summarize large documents (books, reports, chat logs) up to 128K tokens in a single session.
Vision‑and‑code workflows
Extract insights from code screenshots, diagrams, or charts and assist with analysis, debugging, or explanation.
Multilingual, multimodal Q&A
Answer questions across languages and modalities—text, images, or spoken language—e.g., translating foreign documents and images in concert.
Interactive media analysis
Understand video frames, describe scenes, detect emotion in speech, and support real-time decision-making in dynamic environments.
import requests r = requests.post( "https://api.aimlapi.com/v1/chat/completions", headers={"Authorization": "Bearer " + AIMLAPI_KEY}, json={ "model": "openai/gpt-4o", "messages": [ { "role": "user", "content": "Hello!" } ] }, ) print(r.json())
const r = await fetch("https://api.aimlapi.com/v1/chat/completions", { method: "POST", headers: { Authorization: `Bearer ${process.env.AIMLAPI_KEY}`, "Content-Type": "application/json", }, body: JSON.stringify({ "model": "openai/gpt-4o", "messages": [ { "role": "user", "content": "Hello!" } ] }), }); console.log(await r.json());
curl -X POST https://api.aimlapi.com/v1/chat/completions \ -H "Authorization: Bearer $AIMLAPI_KEY" \ -H "Content-Type: application/json" \ -d '{"model":"openai/gpt-4o","messages":[{"role":"user","content":"Hello!"}]}'
OpenAI-compatible — swap the base URL and it works with your existing SDK.
| Type | Price |
|---|---|
| Input | |
| Output | |
| Cached input |
| Benchmark | Score | What it measures | Source | Retrieved |
|---|---|---|---|---|
| Intelligence | 9 | Composite score across standardised reasoning, knowledge and problem-solving evaluations, measured independently by Artificial Analysis | Source | September 12, 2026 |
| Math | 25.7 | Composite score across standardised mathematics evaluations, measured independently by Artificial Analysis | Source | September 12, 2026 |
| Model | Input | Output | Context | Best for |
|---|---|---|---|---|
GPT 4o This page | Coding + agents | |||
| Reasoning + agents | ||||
| Balanced coding + agents | ||||
| Long-context, multimodal & agentic workflows | ||||
| Reasoning + agents |
GPT 4o has a 128,000 tokens context window and can return up to 16,384 tokens.
GPT 4o takes image, text as input and returns text.
Use openai/gpt-4o as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.
GPT 4o became available on May 13, 2024.
GPT 4o is priced at input $3.25 / 1M tokens, output $13 / 1M tokens, cached input $1.625 / 1M tokens.
Yes, GPT 4o can stream responses as they are generated.
Yes, GPT 4o accepts image input alongside text.
GPT 4o was built by OpenAI.
