GPT-4.1 with 1 Million Context RELEASED!

GPT-4.1, Nano Model Release, and Long Context Capabilities: A Detailed Overview

Key Concepts:

• GPT-4.1: An updated version of GPT-4, focusing on improved instruction following and long context handling.
• Nano Model: A new, smaller, and more cost-effective model released alongside GPT-4.1.
• Long Context: The ability of a model to process and understand very large amounts of text (up to 1 million tokens in GPT-4.1).
• Instruction Following: The model's ability to accurately execute instructions provided in various formats.
• RAG (Retrieval-Augmented Generation): A system that combines information retrieval with generative models to improve accuracy and relevance.
• Needle in a Haystack Test: A benchmark used to evaluate a model's ability to retrieve specific information from a large context.
• Function Calling: The ability of a model to use external tools or functions to perform tasks.

Performance Benchmarks and Comparisons

• Overall Performance: GPT-4.1 outperforms GPT-4.0 and even surpasses GPT-4.5 in several areas.
• Coding Capabilities: GPT-4.1 significantly outperforms OpenAI 01 High and GPT-4.5 in coding tasks.
• ADA Polyglot Benchmark: GPT-4.1 demonstrates double the performance of the previous GPT-4 model.
• Vincerf Internal Coding Benchmark: GPT-4.1 shows a 60% performance increase compared to GPT-4.0.
• Quodo Testing: GPT-4.1 provides better suggestions in 55% of cases compared to previous models.
• Vision Performance: GPT-4.1 is on par with GPT-4.5, while GPT-4.1 Mini surpasses GPT-4 Mini.
• Video Long Context: GPT-4.1 demonstrates superior performance in understanding long video contexts.

User Interface and Application Development

• Improved UI Generation: GPT-4.1 generates significantly more attractive and interactive user interfaces compared to GPT-4.0. Example: Flashcard application with a modern design.
• 3D Graphics: The model can create interactive 3D rotations using libraries like 3.js.
• Physics Understanding: GPT-4.1 demonstrates an understanding of physics, allowing for the creation of interactive simulations.

Instruction Following

• Format Support: GPT-4.1 can follow instructions provided in various formats, including XML, YAML, and Markdown.
• Negative Instructions: The model can understand and adhere to negative constraints.
• Content Requirements and Ranking: GPT-4.1 can order lists of items and provide content based on specified requirements and rankings.
• Overconfidence Mitigation: The model exhibits improved handling of overconfidence.

Long Context Capabilities

• Token Limit: GPT-4.1 supports a context length of 1 million tokens, a significant increase from the 128,000 tokens supported by older GPT-4.0 models.
• Needle in a Haystack Test: GPT-4.1 demonstrates successful retrieval in the needle in a haystack test, indicating accurate information retrieval from long contexts.
• RAG Integration: GPT-4.1 can be used to create intelligent RAG systems that process requests and retrieve relevant information based on understanding rather than simple search queries.
• Accuracy in Long Contexts: GPT-4.1 maintains high accuracy even when dealing with multiple "needles" in the haystack.

Pricing

• Prompt Catching Discount: The prompt catching discount has increased to 75% (previously 50%).
• Long Context Request Cost: Long context requests are available at no additional cost.
• Pricing per Million Tokens:
  • GPT-4.1: $1.84
  • GPT-4.1 Mini: $0.42
  • Nano Model: $0.12

Conclusion

GPT-4.1 represents a substantial advancement, particularly in instruction following and long context understanding. It outperforms previous models, including GPT-4.5 in certain benchmarks, and offers improved function calling capabilities. The increased context window of 1 million tokens and the release of the cost-effective Nano model make GPT-4.1 a compelling option for developers. The model's ability to handle complex instructions, understand negative constraints, and accurately retrieve information from long contexts positions it as a valuable tool for various applications.