GPT-4o vs GPT-4o Mini: AI Model Comparison

GPT-4o is OpenAI's high-intelligence flagship model, designed for complex, multi-step tasks. It offers advanced capabilities and improved performance over previous models.

Key strengths include:

• Multimodal capabilities (text and vision)
• High intelligence and advanced reasoning abilities
• Superior performance across non-English languages
• Faster text generation (2x faster than GPT-4 Turbo)
• Improved efficiency and lower cost compared to GPT-4 Turbo
• Large context window (exact size not specified)

GPT-4o is particularly well-suited for applications requiring sophisticated analysis, creative problem-solving, and handling of complex information across multiple modalities.

GPT-4o Mini is OpenAI's most cost-efficient small model, designed to make advanced AI capabilities more accessible. It offers impressive performance at a fraction of the cost of larger models.

Key strengths include:

• Multimodal capabilities (text and vision)
• Large context window of 128K tokens
• Strong performance in reasoning tasks
• Improved efficiency and significantly lower cost compared to GPT-3.5 Turbo
• Support for up to 16K output tokens per request
• Knowledge cutoff up to October 2023

GPT-4o Mini is particularly well-suited for applications requiring a balance between advanced capabilities and cost-effectiveness.

When comparing GPT-4o and GPT-4o Mini, several key differences emerge:

• Performance: GPT-4o offers superior performance and intelligence for complex, multi-step tasks, while GPT-4o Mini provides impressive capabilities for its size and cost.
• Cost: GPT-4o Mini is significantly more cost-effective, with input costs at $0.15 per million tokens and output costs at $0.60 per million tokens, compared to GPT-4o which is more expensive but still 50% cheaper than GPT-4 Turbo.
• Context Window: GPT-4o Mini has a confirmed context window of 128K tokens, while GPT-4o's exact context window size is not specified but is likely larger.
• Use Cases: GPT-4o is better suited for high-stakes, complex tasks requiring maximum intelligence, while GPT-4o Mini is ideal for more general applications where cost-efficiency is crucial.
• Language Capabilities: GPT-4o has superior performance across non-English languages, while GPT-4o Mini still offers strong multilingual support.
• Benchmark Performance: GPT-4o Mini scores 82% on MMLU, outperforming GPT-3.5 Turbo, while GPT-4o likely scores even higher (exact scores not provided).

For most applications requiring a balance between advanced capabilities and cost-effectiveness, GPT-4o Mini appears to be an excellent choice. However, for tasks demanding the highest level of intelligence and performance, particularly in multilingual or highly complex scenarios, GPT-4o would be the superior option.