GPT-5.5
Frontier reasoning LLM for complex coding, long-context work, and tool-using professional tasks
GPT-5.5
Frontier reasoning LLM for complex coding, long-context work, and tool-using professional tasks
GPT-5.5 Overview
GPT-5.5 is OpenAI's newest frontier model for complex professional work, with strong performance in coding, reasoning, and tool-using workflows. It supports a 1,050,000 token context window, 128,000 max output tokens, configurable reasoning effort, image input, and a broad tool stack including web search, file search, code interpreter, hosted shell, apply patch, skills, MCP, tool search, and computer use.
How to Use GPT-5.5
Overview
GPT-5.5 is a frontier language model built for complex coding, reasoning, and professional workflows.
It is a strong fit for tasks that need long context, careful multi-step thinking, image understanding, and deep tool use inside agentic systems rather than only fast single-turn text generation.
Strengths
Strong Coding and Professional Reasoning
GPT-5.5 is positioned as OpenAI's newest frontier model for the most complex professional work. It is designed for tasks where high reasoning quality, precise instruction following, and durable problem solving matter more than using a smaller lower-cost variant.
Very Large Context Window
The model supports a 1,050,000 token context window with up to 128,000 output tokens. This makes it useful for long documents, large codebases, multi-file workflows, and agent setups that need to keep a substantial working set in context.
Configurable Reasoning Effort
GPT-5.5 supports reasoning effort settings from none through xhigh, which makes it flexible across lighter tasks and deeper, compute-heavier problem solving.
Image Understanding
The model supports image input alongside text, which makes it useful for workflows that combine reasoning with screenshots, diagrams, UI states, documents, and other visual context.
Broad Tool Support
In the Responses API, GPT-5.5 supports a broad tool stack including web search, file search, image generation, code interpreter, hosted shell, apply patch, skills, MCP, tool search, and computer use. This makes it well suited to agentic workflows that need to act as well as reason.
Built for Long-Horizon Agent Work
The combination of long context, strong reasoning, structured output support, and tool use makes GPT-5.5 a good fit for coding agents, research agents, analysis pipelines, and multi-step business workflows.
Capabilities
Text-to-Text
GPT-5.5 handles general text generation, reasoning, summarization, planning, coding assistance, transformation, and structured response workflows.
Image-to-Text
GPT-5.5 can take image input and reason over visual information as part of a larger text-based task.
Structured and Tool-Using Workflows
The model supports function calling, structured outputs, and a wide tool surface, which makes it useful for production systems that need deterministic orchestration around the model.
Input and Output
- AIR ID:
openai:[email protected] - Input: text and image input
- Output: text
- Context window: 1,050,000 tokens
- Max output: 128,000 tokens
- Knowledge cutoff: December 1, 2025
- Reasoning effort:
none,low,medium,high,xhigh
Best Fit
- Complex coding and debugging workflows
- Long-context analysis
- Tool-using agents
- Image-grounded reasoning tasks
- Professional research, planning, and execution pipelines
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