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GPT-5.5

OpenAI · GPT-5

OpenAI's newest GPT-5.5 route for agentic coding, professional work, research, and computer-use tasks.

Part of GPT family · Other versions: GPT-5.5 Pro , GPT-Rosalind , GPT-5.4 mini , GPT-5.4 nano , GPT-5.4-Pro , GPT-5.4 , GPT-5.3 , GPT-5.3-Codex , GPT-5.2-Codex , GPT-5.2-Pro , GPT-5.2 , GPT-5-Codex , GPT-5 mini , GPT-5 , GPT-5 nano , GPT-4.1 , GPT-4o mini Transcribe , GPT-4o mini TTS , GPT-4o Transcribe , GPT-4o mini , GPT-4o
Type
language
Context
1M tokens
Max Output
128K tokens
Status
current
Input
$5/1M tok
Output
$30/1M tok
API Access
Yes
License
proprietary
reasoning coding agentic tool-use computer-use long-context professional-workflows
Released April 2026 · Updated April 26, 2026

Overview

Freshness note: Model capabilities, limits, and availability can change quickly. This profile is a point-in-time snapshot last verified on April 26, 2026.

GPT-5.5 is OpenAI’s newest frontier GPT-5 model for complex real-world work. OpenAI launched it on April 23, 2026, rolled it through ChatGPT and Codex, and now lists gpt-5.5 in the API model docs. The core positioning is clear: GPT-5.5 is meant for messy, multi-step tasks where the model needs to plan, use tools, check its work, and keep moving across code, documents, spreadsheets, browser-like environments, and research context.

This is now the strongest OpenAI route to mention for hard agentic coding and professional work when GPT-5.5 access is available in the target surface.

Capabilities

GPT-5.5 is strongest in agentic coding, computer use, knowledge work, and early scientific research workflows. OpenAI highlights better persistence across long tasks, stronger tool use, fewer retries, and higher token efficiency on Codex tasks than GPT-5.4.

The practical upgrade is not just benchmark score. It is better behavior across the full work loop: understand the goal, inspect context, use tools, modify artifacts, test assumptions, and recover when something is ambiguous. That makes it relevant for implementation work, code review, spreadsheet modeling, document-heavy analysis, and source-heavy research.

Technical Details

OpenAI’s API docs list gpt-5.5 with a 1,050,000-token context window and 128,000-token maximum output. In current ChatGPT and Codex product surfaces, exposed limits can still differ by plan, mode, and client. OpenAI’s launch article also says Codex uses a 400K context window.

The public system card also frames GPT-5.5 as a reasoning model evaluated across safety, hallucination, health, cybersecurity, biology, prompt-injection, and agentic coding risk areas. OpenAI treats GPT-5.5 Pro as the same underlying model with additional parallel test-time compute.

Pricing & Access

GPT-5.5 is live in ChatGPT and Codex for eligible plans, and OpenAI’s API docs now list gpt-5.5 for developer use through the Responses API.

Published API pricing for gpt-5.5 is:

  • Input: $5.00 per 1M tokens
  • Cached input: $0.50 per 1M tokens
  • Output: $30.00 per 1M tokens

OpenAI also says Batch and Flex processing will be available at half the standard API rate, while Priority processing will cost 2.5x the standard rate.

Best Use Cases

Use GPT-5.5 for hard planning, complex repository work, long-running debugging, professional analysis, tool-heavy research, and computer-use workflows where GPT-5.4 is not reliable enough or requires too much cleanup. It is not the economical default for every request. Route high-volume extraction, routine drafting, and narrow classification to smaller or cheaper models.

Comparisons

  • GPT-5.4 (OpenAI): Still relevant for compatibility, cost, and teams already standardized on that route, but no longer the newest top-end OpenAI model.
  • GPT-5.5 Pro (OpenAI): Higher-compute route for the hardest work and premium API escalation.
  • Claude Opus 4.7 (Anthropic): Strong competing premium model, especially for teams already standardized around Claude products.
  • Gemini 3.1 Pro Preview (Google): Preview-tier alternative with strong multimodal and Google ecosystem integration.