GPT-5.4
Flagship reasoning LLM with 1M context, native computer use, and high factual accuracy
GPT-5.4
Flagship reasoning LLM with 1M context, native computer use, and high factual accuracy
GPT-5.4 Overview
GPT-5.4 is OpenAI's flagship large language model, featuring a 1 million token context window, native computer use, and a 33% reduction in factual errors over GPT-5.2. It integrates coding capabilities from GPT-5.3-Codex, is 47% more token-efficient, and supports configurable reasoning effort for complex professional tasks.
Commercial use
How to Use GPT-5.4
Overview
ChatGPT 5.4 is a multimodal AI model designed for advanced reasoning, content generation, and interactive workflows. It supports text, image, and structured input, enabling high-quality outputs across a wide range of use cases including writing, coding, analysis, and creative tasks.
The model is optimized for accuracy, contextual understanding, and production-grade performance, making it suitable for both conversational and structured applications.
How it Works
Prompt Interpretation
ChatGPT 5.4 interprets prompts with strong contextual awareness and reasoning capabilities. It can understand complex instructions, maintain coherence over long inputs, and adapt to different tones, formats, and task requirements.
Clear and structured prompts improve reliability and controllability of outputs.
Multimodal Generation
The model supports multiple input and output types, including text and images. It can generate detailed written content, assist with coding tasks, analyze data, and respond to visual inputs when provided.
It is designed to handle both open-ended creative tasks and precise, instruction-based workflows.
Reasoning and Task Execution
ChatGPT 5.4 applies advanced reasoning to solve problems, follow multi-step instructions, and generate structured outputs. It can perform transformations, summarization, analysis, and planning while maintaining logical consistency.
This makes it suitable for complex workflows requiring both understanding and execution.
Key Features
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Advanced Reasoning
Handles complex instructions, multi-step tasks, and logical problem solving.
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Multimodal Capabilities
Supports text and image inputs for more flexible workflows.
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High-Quality Text Generation
Produces coherent, structured, and context-aware content.
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Code Generation and Analysis
Assists with programming, debugging, and technical explanations.
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Instruction Following
Executes detailed and structured prompts with strong accuracy.
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Consistent Output Quality
Maintains reliability and coherence across long interactions.
How to Use
- Provide a clear prompt describing the task or objective.
- Include any necessary context, constraints, or formatting instructions.
- Run the generation.
- Refine the prompt to improve accuracy, tone, or structure if needed.
For best results, use specific instructions and break down complex tasks into clear steps.
Example usage:
“Write a detailed product launch plan for a new AI-powered photo editing app, including target audience, positioning, marketing channels, timeline, and key metrics, in a structured and professional format.”
Documentation
You can find full usage details, parameters, and examples here: https://runware.ai/docs/models/openai-gpt-5-4
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