OpenAI: GPT-4o-mini

GPT-4o mini is a powerful AI model developed by OpenAI. It offers advanced capabilities at a lower cost. This model is designed for efficiency and versatility. It supports both text and image inputs, making it suitable for various applications. With a context window of 128k tokens, it can handle extensive data. Users can access it for just 15 cents per million input tokens. Overall, GPT-4o mini democratizes AI technology for a broader audience.

import OpenAI from "openai"

const openai = new OpenAI({
  baseURL: "https://api.aiapilab.com/v1",
  apiKey: $AIAPILAB_API_KEY
})

async function main() {
  const completion = await openai.chat.completions.create({
    model: "openai/gpt-4o-mini",
    messages: [
      {
        "role": "user",
        "content": [
          {
            "type": "text",
            "text": "What's in this image?"
          },
          {
            "type": "image_url",
            "image_url": {
              "url": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg"
            }
          }
        ]
      }
    ]
  })

  console.log(completion.choices[0].message)
}
main()

from openai import OpenAI

client = OpenAI(
  base_url="https://api.aiapilab.com/v1",
  api_key="$AIAPILAB_API_KEY",
)

completion = client.chat.completions.create(
  model="openai/gpt-4o-mini",
  messages=[
    {
      "role": "user",
      "content": [
        {
          "type": "text",
          "text": "What's in this image?"
        },
        {
          "type": "image_url",
          "image_url": {
            "url": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg"
          }
        }
      ]
    }
  ]
)
print(completion.choices[0].message.content)

OpenAI: GPT-4o-mini

Context128000

Input$0.15 / M

Output$0.6 / M

Try OpenAI: GPT-4o-mini

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Description

OpenAI launched the GPT-4o mini on July 18, 2024. This model is a cost-effective choice that still performs well. It outshines its predecessor, GPT-3.5 turbo, in many tests. 

The GPT-4o mini scores 82% on the MMLU benchmark. This shows its strong skills in understanding language. It also gets 87.0% on math reasoning tasks. For coding tasks, it achieves 87.2%. The model can handle a 128k token context window, making it great for long conversations.

Moreover, the GPT-4o mini can process text and image inputs. Future updates will add audio and video support, enhancing its versatility. Its improved tokenizer helps it work better with non-English languages. This makes it easier for more people to use.

Safety is key for the GPT-4o mini. OpenAI has put in strong measures to keep it secure. Over 70 external experts have tested the model. It uses an instruction hierarchy method to prevent misuse, promoting responsible use.

In summary, the GPT-4o mini is a strong model that combines speed and efficiency. It’s a great tool for developers and businesses looking for advanced AI. This model is a big step toward making AI easier to access for many uses. You can benefit from the advanced features of the GPT-4o mini by integrating it into your projects. Use our AIAPILAB service to get better deals on this model.

Model API Use Case

The GPT-4o Mini API has many uses in different fields. In customer service, it helps businesses automate support. It responds quickly, taking only 0.32 seconds for each reply. This speed improves the experience for users. 

In education, it can create personalized tutoring sessions for students. It has a large context window, allowing it to remember past conversations. This feature makes learning more interactive and fun. 

Content creators also benefit from the API. They use it to write articles and social media posts. It has a high score on the MMLU benchmark, ensuring quality content. 

Its low cost of 15 cents per million tokens makes it easy for startups to use. 

One example of its success is a language learning app. After using GPT-4o Mini, it saw a 30% rise in user engagement. This shows how it can boost productivity and creativity. 

For more information, check the official OpenAI website.

Model Review

Pros

1. GPT-4o mini delivers rapid responses, enhancing user interaction and engagement. 2. It manages extensive conversations with a 128k token context window, retaining context well. 3. The model processes text and image inputs, broadening its application scope significantly. 4. It excels in math and coding tasks, demonstrating strong reasoning abilities across benchmarks. 5. Enhanced safety features prevent misuse, ensuring responsible and ethical AI usage.

Cons

1. GPT-4o mini lacks full audio and video processing, limiting its current capabilities. 2. The model sometimes struggles with specialized tasks, showing weaknesses in niche areas. 3. Users may encounter biases in responses, reflecting issues in the training data.

Comparison

Feature/Aspect	GPT-4o	GPT-4o Mini	GPT-3.5 Turbo
Model Type	Full-sized, advanced language model	Small, cost-efficient language model	Previous generation language model
Context Window	128k tokens	128k tokens	4k tokens
Safety Features	Comprehensive safety protocols	Advanced safety measures, including instruction hierarchy	Basic safety features
Multimodal Capabilities	Supports text, audio, and video inputs	Supports text and image inputs	Primarily text input
Performance Benchmark Score	Higher scores on various benchmarks	82% on MMLU (Massive Multi-task Language Understanding)	Lower scores on similar benchmarks

API

import OpenAI from "openai"

const openai = new OpenAI({
  baseURL: "https://api.aiapilab.com/v1",
  apiKey: $AIAPILAB_API_KEY
})

async function main() {
  const completion = await openai.chat.completions.create({
    model: "openai/gpt-4o-mini",
    messages: [
      {
        "role": "user",
        "content": [
          {
            "type": "text",
            "text": "What's in this image?"
          },
          {
            "type": "image_url",
            "image_url": {
              "url": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg"
            }
          }
        ]
      }
    ]
  })

  console.log(completion.choices[0].message)
}
main()

from openai import OpenAI

client = OpenAI(
  base_url="https://api.aiapilab.com/v1",
  api_key="$AIAPILAB_API_KEY",
)

completion = client.chat.completions.create(
  model="openai/gpt-4o-mini",
  messages=[
    {
      "role": "user",
      "content": [
        {
          "type": "text",
          "text": "What's in this image?"
        },
        {
          "type": "image_url",
          "image_url": {
            "url": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg"
          }
        }
      ]
    }
  ]
)
print(completion.choices[0].message.content)

FAQ

Q1: What is GPT-4o mini?  
A1: GPT-4o mini is a compact AI model, designed for efficient text and image processing.  

Q2: How does GPT-4o mini handle inputs?  
A2: GPT-4o mini processes text and image inputs, with plans for audio and video support.  

Q3: What are the main features of GPT-4o mini?  
A3: Features include a 128k token context window, multimodal capabilities, and enhanced safety.  

Q4: Can developers integrate GPT-4o mini into applications?  
A4: Yes, developers can utilize GPT-4o mini through various APIs for seamless integration.  

Q5: How does GPT-4o mini ensure safe outputs?  
A5: It employs safety measures, including external expert reviews, to mitigate risks and biases.