OpenAI GPT-4.1 LLM

A OpenAI GPT-4.1 LLM is an OpenAI multimodal LLM released on 2025-04-14.

• Context:
  • It can typically process Input Content with OpenAI GPT-4.1 million-token context windows, supporting approximately 750,000 words at once.
  • It can typically perform OpenAI GPT-4.1 Software Engineering Tasks with OpenAI GPT-4.1 coding abilities, achieving 54.6% on the SWE-bench Verified benchmark.
  • It can typically follow OpenAI GPT-4.1 Complex Instructions with OpenAI GPT-4.1 compliance capabilities, scoring 38.3% on Scale's MultiChallenge benchmark.
  • It can typically understand OpenAI GPT-4.1 Multimodal Content with OpenAI GPT-4.1 processing capabilities for text, images, and videos.
  • It can typically apply OpenAI GPT-4.1 Advanced Reasoning to OpenAI GPT-4.1 complex problems, scoring 90.2% on the MMLU benchmark.
  • ...
  • It can often serve as an OpenAI GPT-4.1 API Resource for OpenAI GPT-4.1 developers building OpenAI GPT-4.1 applications.
  • It can often provide OpenAI GPT-4.1 Cost-Effective Processing through OpenAI GPT-4.1 token optimization.
  • It can often outperform OpenAI predecessor models in OpenAI GPT-4.1 benchmark evaluations.
  • ...
  • It can range from being a Full-Scale OpenAI GPT-4.1 LLM to being a Lightweight OpenAI GPT-4.1 Nano LLM, depending on its OpenAI GPT-4.1 deployment requirements.
  • It can range from being a General-Purpose OpenAI GPT-4.1 LLM to being a Task-Specific OpenAI GPT-4.1 LLM, depending on its OpenAI GPT-4.1 implementation context.
  • ...
  • It can integrate with OpenAI API for OpenAI GPT-4.1 application development.
  • It can support OpenAI GPT-4.1 Developer Workflows for OpenAI GPT-4.1 coding tasks.
  • It can maintain OpenAI GPT-4.1 Knowledge Cutoff at June 2024, limiting information to data available before that date.
  • ...
• Examples:
  • OpenAI GPT-4.1 LLM Variants, such as:
    • OpenAI GPT-4.1 Core Variants, such as:
      • Standard OpenAI GPT-4.1 LLM for OpenAI GPT-4.1 comprehensive capabilitys at $2 per million input tokens and $8 per million output tokens.
      • OpenAI GPT-4.1 Mini LLM for OpenAI GPT-4.1 cost-effective processing at $0.40 per million input tokens and $1.60 per million output tokens.
      • OpenAI GPT-4.1 Nano LLM for OpenAI GPT-4.1 lightweight applications at $0.10 per million input tokens and $0.40 per million output tokens.
    • OpenAI GPT-4.1 LLM Implementations, such as:
      • OpenAI GPT-4.1 API Integration for OpenAI GPT-4.1 enterprise software development.
      • OpenAI GPT-4.1 GitHub Copilot Implementation for OpenAI GPT-4.1 coding assistant functions.
  • OpenAI GPT-4.1 LLM Application Domains, such as:
    • OpenAI GPT-4.1 Software Engineering Domains, such as:
      • OpenAI GPT-4.1 Code Generation Application for OpenAI GPT-4.1 software development.
      • OpenAI GPT-4.1 Code Debugging Application for OpenAI GPT-4.1 error correction.
    • OpenAI GPT-4.1 Content Creation Domains, such as:
      • OpenAI GPT-4.1 Document Analysis Application for OpenAI GPT-4.1 long-form content processing.
      • OpenAI GPT-4.1 Multimodal Content Generation for OpenAI GPT-4.1 combined text-visual output.
  • ...
• Counter-Examples:
  • OpenAI GPT-4o LLM, which lacks OpenAI GPT-4.1 million-token context window capability and has lower performance on coding benchmarks.
  • OpenAI GPT-4.5 LLM, which has been deprecated in favor of OpenAI GPT-4.1 LLM and offers comparable but less efficient performance.
  • Google Gemini 2.5 Pro LLM, which achieves higher scores on SWE-Bench when using agent tools (63.8% compared to OpenAI GPT-4.1 LLM's 55%).
  • Anthropic Claude 3.7 Sonnet LLM, which scores higher on certain benchmarks (approximately 62-63% on SWE-Bench compared to OpenAI GPT-4.1 LLM).
• See: OpenAI Model, Large Language Model, Multimodal AI System, AI Benchmark.

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