GPT-4o mini
GPT-4o mini is OpenAI’s most cost-efficient small model, offering GPT-4 class intelligence with superior speed and multimodal vision for high-volume tasks.
openaiGPT-4July 18, 2024About GPT-4o mini
Learn about GPT-4o mini's capabilities, features, and how it can help you achieve better results.
A New Standard for Small Models
GPT-4o mini represents a significant leap in AI efficiency, designed to replace GPT-3.5 Turbo as the go-to model for developers. Built with a native multimodal architecture, it delivers GPT-4 class performance at a fraction of the cost and latency. It features a massive 128,000 token context window and supports complex outputs of up to 16,384 tokens, making it ideal for processing long-form documents and high-volume data streams.
Intelligence Meets Affordability
Unlike previous small models that sacrificed intelligence for speed, GPT-4o mini maintains high reasoning capabilities across text and vision tasks. It is 60% cheaper than GPT-3.5 Turbo and significantly more capable, scoring 82% on the MMLU benchmark. This model is specifically optimized for applications where low latency and high reliability are paramount, such as real-time customer assistants and large-scale data classification engines.
Use Cases for GPT-4o mini
Discover the different ways you can use GPT-4o mini to achieve great results.
Customer Support Automation
Deploy low-latency, cost-effective chatbots that can handle thousands of routine inquiries with high accuracy.
Structured Data Extraction
Convert large volumes of unstructured text or image data into clean, formatted JSON schemas for databases.
Real-Time Translation
Power messaging apps with near-instant translation across dozens of languages at minimal operational cost.
Document Summarization
Summarize long-form reports and meeting transcripts using the expansive 128k context window.
Visual Analysis & OCR
Extract text from images, analyze charts, and describe visual content for accessibility purposes.
Rapid Prototyping
Quickly build and iterate on AI applications with minimal API spend before scaling to larger models.
Strengths
Limitations
API Quick Start
openai/gpt-4o-mini
import OpenAI from "openai";
const openai = new OpenAI();
async function main() {
const completion = await openai.chat.completions.create({
model: "gpt-4o-mini",
messages: [
{ role: "system", content: "You are a helpful assistant." },
{ role: "user", content: "Analyze this data and return JSON." },
],
response_format: { type: "json_object" },
});
console.log(completion.choices[0].message.content);
}
main();Install the SDK and start making API calls in minutes.
What People Are Saying About GPT-4o mini
See what the community thinks about GPT-4o mini
“GPT-4o mini is basically the death knell for GPT-3.5. It's faster, cheaper, and smarter. There's no reason to use the old model anymore.”
“OpenAI really changed the game with the pricing. 15 cents for a million tokens is insane for this level of logic.”
“I'm seeing near-instant responses for my chatbot. The latency on 4o-mini is impressive for the price point.”
“GPT-4o mini launched 4 days ago. already processing more than 200B tokens per day!”
“The vision performance for something this cheap is the real story. It handles charts better than some flagship models did a year ago.”
“It follows system instructions perfectly for JSON extraction. A massive upgrade over 3.5 Turbo's reliability.”
Videos About GPT-4o mini
Watch tutorials, reviews, and discussions about GPT-4o mini
“The era of the small model is here”
“It is priced at 15 cents per million input tokens... that is insanely cheap”
“GPT-4o mini is very very fast... unbelievable fast”
“This model is basically replacing GPT-3.5 Turbo and it's 60% cheaper”
“Look at how fast this is generating text, it's almost instantaneous”
“GPT-4o mini it's free it's fast and it's actually pretty good”
“GPT-3.5 is completely gone... it brings you down to GPT-4o mini”
“Look at the speed of that way faster right”
“It is a multimodal model meaning it can see images”
“It outperforms GPT-3.5 Turbo and even GPT-4 on some benchmarks”
“OpenAI has basically dropped a competitor which seems to be beating a lot of these models”
“It's the model that they've optimized for charging the least amount”
“Having this being able to output 16,000 output tokens at a time really is a useful kind of thing”
“The context window is 128k, which is great for RAG applications”
“The safety measures on this model are built in from the start”
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Pro Tips for GPT-4o mini
Expert tips to help you get the most out of GPT-4o mini and achieve better results.
Direct System Instructions
Provide concise system prompts to steer the model towards specific output formats like JSON or Markdown.
Batching Context
Utilize the 128k window by grouping related small tasks into a single prompt to reduce overhead costs.
Vision Labeling
Ask for specific visual attributes when processing images to improve the precision of metadata extraction.
Streaming for UX
Always enable the stream parameter to provide immediate token feedback for end-users.
Temperature Tuning
Set temperature to 0 for structured data tasks to ensure deterministic and consistent outputs.
Testimonials
What Our Users Say
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Frequently Asked Questions About GPT-4o mini
Find answers to common questions about GPT-4o mini