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GPT-4.1

OpenAI's GPT-4.1: Enhanced coding, million-token processing, and precise instruction following at lower cost than GPT-4.5 with state-of-the-art performance.
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GPT-4.1

GPT-4.1 advanced coding-focused AI with million-token context and superior instruction following.

GPT-4.1 Model Card

Model Information

Model Name: GPT-4.1
Developer/Creator: OpenAI
Release Date: April 14, 2025
Version: 1.0
Model Type: Text, Code, Vision (Multimodal)

Description

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.

Technical Specifications

Context Window and Token Capacity

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.

API Pricing

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

Performance Benchmarks

  • SWE-bench Verified: 52-54.6% (21.4% improvement over GPT-4o)
  • Instruction Following (IFEval): 87.4% (6.4% improvement over GPT-4o)
  • Long Context Reasoning (OpenAI-MRCR): 84% accuracy with 8,000 tokens, degrading to 50% with 1 million tokens
  • Graph Reasoning (Graphwalks): 61.7% (19.7% improvement over GPT-4o)
  • Multi-challenge Benchmark: 38.3% (10.5% improvement over GPT-4o)

Key Capabilities

Programming and Software Development

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.

Long Context Processing

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.

Instruction Following

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.

API Functionality

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.

API Integration

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

Limitations and Considerations

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.

Enterprise Applications

  • Legal document analysis: 17% improvement in multi-document review accuracy (as reported by Thomson Reuters)
  • Financial data extraction: 50% better performance on extracting granular financial data from dense documents (as reported by Carlyle)
  • Regulatory research: 53% improvement in accuracy, especially for tasks involving multi-step logic (as reported by Blue J Legal)

Use Case Recommendations

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.

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