GPT-4.1 advanced coding-focused AI with million-token context and superior instruction following.
Model Name: GPT-4.1
Developer/Creator: OpenAI
Release Date: April 14, 2025
Version: 1.0
Model Type: Text, Code, Vision (Multimodal)
GPT-4.1 is OpenAI's advanced large language model designed with significant improvements in coding capabilities, instruction following, and long context processing. The model represents a substantial step forward from GPT-4o, offering enhanced performance while maintaining a lower cost profile than GPT-4.5. GPT-4.1 excels particularly in software engineering tasks, with optimizations for real-world developer use cases including frontend coding, cleaner code editing, and precise instruction adherence.
GPT-4.1 processes input contexts of up to 1,047,576 tokens (approximately 750,000 words). The model generates outputs of up to 32,768 tokens in a single response.
All training data for GPT-4.1 extends to May 31, 2024, which serves as its knowledge cutoff date.
Input tokens $2.10 per million tokens
Output tokens $8.40 per million tokens
Cost for 1,000 tokens $0.0021 (input) + $0.0084 (output) = $0.0105 total
GPT-4.1 delivers enhanced frontend coding with significantly fewer unnecessary edits. The model provides improved code refactoring and debugging capabilities for complex software projects. It follows programming best practices with superior accuracy compared to previous models. GPT-4.1 generates optimized diffs through extensive training on recommended formats. The system supports advanced agentic development workflows for autonomous coding tasks. It achieves state-of-the-art performance across standard coding benchmarks, particularly in practical software engineering tasks.
GPT-4.1 processes and reasons over documents containing up to 1 million tokens with maintained coherence. The model effectively retrieves specific information from large corpuses even when relevant data is deeply embedded. It analyzes entire codebases at once, maintaining context across multiple files and functions. GPT-4.1 handles multi-document analysis with improved accuracy for complex research and legal applications. The system is optimized for XML-style delimiters that enhance structure and information retention in long-context inputs.
GPT-4.1 adheres precisely to explicit formatting instructions with higher consistency than previous models. The system handles negative instructions (what not to do) with improved accuracy and reliability. It performs multi-step ordered instructions with enhanced sequential understanding and context retention. GPT-4.1 executes ranking and sorting tasks with greater accuracy based on specified criteria. The model interprets prompts more literally, which provides greater control but requires more explicit instructions from users.
GPT-4.1 provides comprehensive function calling support for integration with external tools and services. It offers streaming capability for real-time response generation and interactive applications. GPT-4.1 supports system messages for defining behavior parameters and constraints. The model includes vision capabilities through image inputs, enabling multimodal understanding and reasoning.
GPT-4.1 is available through AIML's API service for developers and organizations. OpenAI has planned a gradual integration of GPT-4.1 features into the ChatGPT interface over time. The system provides comprehensive support for tool calling and complex agentic workflows with enhanced reliability.
API references - Documentation
GPT-4.1 experiences performance degradation with extremely large inputs, with accuracy dropping from 84% at 8,000 tokens to approximately 50% at 1 million tokens. The model interprets instructions more literally than GPT-4o, requiring more specific and explicit prompts for optimal results. It is optimized for specific use cases based on extensive developer feedback and real-world applications. GPT-4.1 will replace GPT-4.5 in the API, which is scheduled to be turned off on July 14, 2025.
GPT-4.1 excels in complex software development projects requiring advanced reasoning and code generation. The model performs exceptionally well for large-scale document analysis across diverse industries and domains. It provides sophisticated multi-document question answering with improved context retention across sources. GPT-4.1 supports agentic workflows requiring precise instruction following and multi-step execution. The system offers superior code base understanding and refactoring capabilities for legacy systems. It enables efficient API and integration development with structured outputs and accurate documentation generation.