GPT-5.5
OpenAI's new default frontier model — sharper reasoning, native computer use, and a major leap in long-context retrieval at matched GPT-5.4 latency
GPT-5.5
OpenAI • April 2026
Training Data
Not disclosed
GPT-5.5
April 2026
Parameters
Not disclosed
Training Method
Token-Efficient Unified Architecture
Context Window
1,000,000 tokens
Knowledge Cutoff
Not disclosed
Key Features
1M Token Context • Native Computer Use • Token-Efficient Reasoning • Agentic Coding
Capabilities
Professional Tasks: Outstanding
Coding: Maximum
Long-Context: Exceptional
What's New in This Version
Matches GPT-5.4 per-token latency with fewer tokens needed; 84.9% GDPval, 58.6% SWE-Bench Pro, doubles long-context retrieval (74.0% vs 36.6% on MRCR 512K–1M)
OpenAI's new default frontier model — sharper reasoning, native computer use, and a major leap in long-context retrieval at matched GPT-5.4 latency
What's New in This Version
Matches GPT-5.4 per-token latency with fewer tokens needed; 84.9% GDPval, 58.6% SWE-Bench Pro, doubles long-context retrieval (74.0% vs 36.6% on MRCR 512K–1M)
Technical Specifications
Key Features
Capabilities
Other OpenAI Models
Explore more models from OpenAI
GPT-6.1 Sol
An upgrade to GPT-6 Sol that nearly matches GPT-6 Astra on agentic coding, computer use, and professional work at one-fifth of Astra's token prices
GPT-6 Sol
The GPT-6 workhorse for complex coding and agentic workflows — Astra-level reliability at a fraction of Astra's price
GPT-6 Luna
OpenAI's most efficient model for focused, high-volume tasks — summarizing documents, extracting information, and answering quick questions