OpenAI

GPT 5.5

OpenAI's natively omnimodal, agentic model processing text, image, audio, and video end-to-end, with a 1M-token context window and native computer use, leading coding and knowledge-work benchmarks for autonomous agents and research.

Modalities
Chat
Starting price
From $22.5 / 1M out
Context
1.1M context

OpenAI

README

Supported Functionality

ItemSpecification
InputText, Image
OutputText
Context1,050,000 tokens
Max Output128,000 tokens
Vision✓ Supported
Function Calling✓ Supported

Description

GPT-5.5 is OpenAI's professional reasoning and coding model, released on April 24, 2026. At launch, it was positioned as a frontier model for the most complex professional work, with a focus on coding, tool-heavy agents, grounded assistants, and long-context workflows.

Compared with prior models, it can reach strong results with fewer reasoning tokens and improves outcome-oriented execution, constraint preservation, tool selection, and argument accuracy. It also enhances default image detail, long-running state compaction, and output-style control, while the Responses API provides prompt caching, tool search, computer use, Hosted Shell, Apply Patch, Skills, MCP, and other capabilities.

Key Capabilities

  • Complex Reasoning: Five reasoning-effort levels—none, low, medium, high, and xhigh—let developers balance quality, latency, and cost by task difficulty.
  • Software Engineering and Coding: Strong planning, repository navigation, tool use, modification, and verification support multi-step, testable engineering tasks.
  • Long-Running Agents: More precise tool selection and arguments on large tool surfaces, combined with compaction and state management, support sustained execution.
  • Long-Context Retrieval: A 1,050,000-token context can hold large codebases, document collections, and multi-turn state, with up to 128,000 output tokens.
  • Vision and Computer Interaction: Image input preserves more visual detail by default under auto and can pair with Computer Use for interface understanding and operation.
  • Instruction Following and Execution: The model can work from goals, success criteria, and constraints to choose an execution path and turn product intent into concrete plans and results.
  • Structured Professional Output: Structured Outputs and configurable text.verbosity support clear, direct, JSON Schema-compliant responses.

Technical Strengths

FeatureBenefit
Efficient ReasoningAchieves strong results with fewer reasoning tokens at the same effort level, reducing cumulative consumption in complex multi-step workflows.
Precise Tool UseMore accurate tool selection and arguments on large tool surfaces help reduce incorrect calls and agent workflow failures.
1.05M-Token ContextHandles large repositories and long source collections in one request, reducing information loss from chunking.
Original Image Detail by DefaultUnder auto, images can remain unscaled within documented limits, preserving visual information needed for interface understanding and computer use.
Compaction and State ManagementCompresses long conversations while preserving important task state, helping long-running agents continue effectively.
Broad Hosted Tool EcosystemWeb Search, File Search, Code Interpreter, Hosted Shell, Computer Use, MCP, and Skills support a retrieval-to-action workflow.

Pricing

Token-based pricing

Tiered by input prompt tokens (incl. cache): once over the threshold, the whole request is billed at the higher tier.

Token Type
Short context
≤272K
Long context
>272K
Input$3.75$5-25%$7.5$10-25%
Output$22.5$30-25%$33.75$45-25%
Cached input$0.375$0.5-25%$0.75$1-25%

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