OpenAI GPT-4o mini

OpenAI GPT-4o mini

OpenAI GPT-4o mini is a compact AI model designed for developers and consumers, accessible via the ChatGPT web and mobile apps. It processes both text and image inputs, making it versatile for various applications involving language and vision.

This model stands out by offering a large context window of 128,000 tokens, enabling it to handle lengthy documents or conversations efficiently. It delivers strong reasoning performance on benchmarks like MMLU and MGSM, surpassing other small AI models while being significantly more cost-effective.

GPT-4o mini is priced at 15 cents per million input tokens and 60 cents per million output tokens, making it over 60% cheaper to run than GPT-3.5 Turbo. While it currently supports text and vision inputs, OpenAI plans to add video and audio capabilities in the future, expanding its multimodal functionality.

Enterprise users gain access to GPT-4o mini through the Enterprise Compliance API, which assists with regulatory and audit requirements. The model's speed, affordability, and advanced reasoning make it suitable for high-volume, simple AI tasks and interactive applications.

OpenAI has not publicly disclosed the exact model size or architecture, but GPT-4o mini is roughly comparable to other small AI models like Llama 3 8b and Claude Haiku, with superior speed and cost efficiency.

Top Features:
  1. 💸 Cost Efficient: Over 60% cheaper to run than GPT-3.5 Turbo, priced at 15 cents per million input tokens and 60 cents per million output tokens.

  2. ⚡ Faster Performance: Provides quicker responses while maintaining strong reasoning abilities.

  3. 🧠 Advanced Reasoning: Scores 82% on MMLU and 87% on MGSM benchmarks, outperforming other small AI models.

  4. 👁️ Text and Vision Support: Handles both text and image inputs through the API.

  5. 🧩 Large Context Window: Supports up to 128,000 tokens, enabling processing of lengthy documents or conversations.

  6. 🏢 Enterprise Compliance API: Offers tools to help businesses meet regulatory and audit requirements.

  7. 🎥 Future Multimedia Support: Plans to add video and audio input capabilities.

Pros:
  1. Significantly more affordable than previous OpenAI models, reducing operational costs.

  2. Improved speed and efficiency for high-volume, simple AI tasks.

  3. Supports both text and vision inputs with plans to add video and audio.

  4. Large context window enables processing of lengthy documents or conversations.

  5. Strong benchmark performance surpassing other small AI models.

Cons:
  1. Currently limited to text and vision inputs; video and audio support are forthcoming.

  2. Exact model size and architecture details are not publicly disclosed.

FAQs:

What is the GPT-4o mini?

OpenAI GPT-4o mini is a smaller, faster, and more cost-efficient AI model designed for developers and consumers, accessible via ChatGPT apps and API.

How does GPT-4o mini perform compared to other models?

OpenAI GPT-4o mini scores 82% on MMLU and 87% on MGSM benchmarks, outperforming other small AI models in reasoning tasks.

What functionalities does GPT-4o mini support?

OpenAI GPT-4o mini supports text and vision inputs through the API, with planned future support for video and audio inputs.

What enterprise tools are available with GPT-4o mini?

OpenAI GPT-4o mini includes the Enterprise Compliance API to assist businesses with regulatory and audit compliance.

What is the pricing model for GPT-4o mini?

OpenAI GPT-4o mini is priced at 15 cents per million input tokens and 60 cents per million output tokens for developers.

What is the context window size of GPT-4o mini?

OpenAI GPT-4o mini has a large context window of 128,000 tokens, allowing it to process lengthy documents or conversations.

When do enterprise users get access to GPT-4o mini?

OpenAI GPT-4o mini became available to enterprise users starting the week after its initial release to developers and consumers.

Pricing:

Freemium

Tags:

small AI models
Reasoning Tasks
vision API
Enterprise Compliance
developer API
GPT-4o Mini
OpenAI
ChatGPT

Tech used:

Chakra UI
Ant Design
WordPress
Cloudflare
Google Tag Manager
PHP
Ruby
Emotion
OpenAI API
Natural Language Processing
Computer Vision
Multimodal AI

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