OpenAI’s GPT-5.5 is now live

2026-04-23 · Source: Dataconomy · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Emerging Technologies & Innovation · Depth: Fundamental Awareness, quick

Summary

OpenAI has released its new GPT-5.5 model, described as its most advanced and user-friendly AI to date, following the GPT-5.4 release last month. This model is engineered for enhanced efficiency across various tasks, including coding, online research, and document preparation, and is designed to autonomously manage multi-part workflows. OpenAI emphasizes its flexibility, robust safety features, and reduced token usage in Codex applications. Benchmarking data shows GPT-5.5 outperforming GPT-5.4 across several metrics, such as Terminal-Bench 2.0 (82.7% vs. 75.1%), Expert-SWE (Internal) (73.1% vs. 68.5%), and GDPval (84.9% vs. 83.0%). A specialized GPT-5.5 Pro variant is also available, showing even higher performance in areas like BrowseComp (90.1%). The rollout commenced Thursday for Plus, Pro, Business, and Enterprise ChatGPT tiers, as well as Codex users.

Key takeaway

For Machine Learning Engineers and CTOs evaluating advanced AI models for enterprise integration, GPT-5.5 offers significant improvements in handling complex, multi-part tasks autonomously and boasts enhanced safety features. Its superior benchmark performance over previous versions and competitors like Claude Opus 4.7 and Gemini 3.1 Pro suggests it can streamline intricate workflows. Consider upgrading to GPT-5.5 or GPT-5.5 Pro to leverage these advancements in coding, research, and document preparation, potentially reducing token usage in Codex applications.

Key insights

GPT-5.5 enhances AI capabilities for complex, multi-part tasks with improved efficiency and safety features.

Principles

• AI models can autonomously manage multi-part tasks.
• Continuous iteration improves model performance and safety.

In practice

• Utilize GPT-5.5 for complex coding and research tasks.
• Employ GPT-5.5 Pro for enhanced browsing and enterprise applications.

Topics

• GPT-5.5
• OpenAI
• Large Language Models
• AI Benchmarking
• AI Competition

Best for: Machine Learning Engineer, NLP Engineer, CTO, AI Scientist, AI Engineer, Director of AI/ML

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Editorial summary, takeaway, and curation by AIssential. Original article published by Dataconomy.