OpenAI Launches GPT-5.5 with Stronger Agentic and Computer-Use Capabilities

30-Second Summary

OpenAI released GPT-5.5 on April 23, 2026, with significant advances in agentic coding, computer use, and long-horizon task execution. Available to Plus, Pro, Business, and Enterprise users, it carries a 1 million-token context window and is priced at $5 per million input tokens in the API. OpenAI describes it as its smartest and most intuitive model to date.

At a Glance

• Topic: Model Releases
• Company: OpenAI
• Date: 23 April 2026
• What Changed: OpenAI launched GPT-5.5 across ChatGPT and Codex for paid subscribers. The model excels at writing and debugging code, researching online, analysing data, creating documents, operating software, and executing multi-step tasks. API pricing is $5 per million input tokens and $30 per million output tokens, with a 1M context window. The model is also available in a higher-tier GPT-5.5 Pro variant.
• Why It Matters: GPT-5.5 closes the gap between human knowledge workers and AI assistants across the most commercially valuable tasks: coding, research, data analysis, and autonomous workflow execution. The release compresses the timeline for AI replacing manual knowledge work inside SMEs. The token efficiency improvements also mean lower total cost despite a higher per-token price compared to GPT-5.4.
• Who Should Care: Business operators using OpenAI for internal automation, knowledge work, or customer-facing AI features. Development teams building on the OpenAI API.

Key Facts

• Company: OpenAI
• Date: 23 April 2026
• What Changed: OpenAI launched GPT-5.5 across ChatGPT and Codex for paid subscribers. The model excels at writing and debugging code, researching online, analysing data, creating documents, operating software, and executing multi-step tasks. API pricing is $5 per million input tokens and $30 per million output tokens, with a 1M context window. The model is also available in a higher-tier GPT-5.5 Pro variant.
• Who It Affects: Business operators using OpenAI for internal automation, knowledge work, or customer-facing AI features. Development teams building on the OpenAI API.
• Primary Source: OpenAI / CNBC / TechCrunch (https://openai.com/index/introducing-gpt-5-5/)

What Happened

OpenAI launched GPT-5.5 across ChatGPT and Codex for paid subscribers. The model excels at writing and debugging code, researching online, analysing data, creating documents, operating software, and executing multi-step tasks. API pricing is $5 per million input tokens and $30 per million output tokens, with a 1M context window. The model is also available in a higher-tier GPT-5.5 Pro variant.

Why It Matters

GPT-5.5 closes the gap between human knowledge workers and AI assistants across the most commercially valuable tasks: coding, research, data analysis, and autonomous workflow execution. The release compresses the timeline for AI replacing manual knowledge work inside SMEs. The token efficiency improvements also mean lower total cost despite a higher per-token price compared to GPT-5.4.

The David and Goliath View

This development reinforces our belief that the next generation of organisations will be built on intelligent systems, not larger teams. Operators should evaluate upgrading active GPT-5.4 workflows to GPT-5.5, particularly for agentic coding, research pipelines, and multi-step automations. The 1M context window enables full-document and full-codebase processing in a single call. Test on highest-volume use cases first to quantify token efficiency gains against the higher per-token cost.

Where This Fits in the AI Stack

AI Growth Engine: This development is relevant to revenue infrastructure. AI-driven prospecting, outreach automation, and pipeline management systems can leverage these capabilities to generate more pipeline with fewer resources. Employee Amplification Systems: This connects to employee amplification. Teams using AI copilots and workflow automation can apply these developments to multiply individual output without expanding headcount.

Questions Operators Are Asking

How does this affect my current AI strategy? Operators should evaluate upgrading active GPT-5.4 workflows to GPT-5.5, particularly for agentic coding, research pipelines, and multi-step automations. The 1M context window enables full-document and full-codebase processing in a single call. Test on highest-volume use cases first to quantify token efficiency gains against the higher per-token cost.

Should I act on this now? For organisations already deploying AI systems, this is worth incorporating into your next planning cycle. For those still evaluating, it adds context to the decision framework.

Citable Summary

• Title: OpenAI Launches GPT-5.5 with Stronger Agentic and Computer-Use Capabilities
• Publisher: David & Goliath Daily AI Briefing
• Date: 23 April 2026
• URL: https://davidandgoliath.ai/daily-ai-briefing/openai-launches-gpt-5-5-with-stronger-agentic-and-computer-use-capabilities
• Source: OpenAI / CNBC / TechCrunch