Agentic LLM📅 Released: 2026-04-23

GPT-5.5

OpenAI's smartest and most intuitive model yet, optimized for agentic workflows and computer use.

Overview

GPT-5.5 is OpenAI's latest general-purpose flagship model released in April 2026. It marks a transition from a 'chat' interface to an 'agentic' interface, where the model can carry out multi-part tasks autonomously on a computer. It is the smartest and most intuitive model yet, excelling at writing/debugging code, researching online, and operating software interfaces directly. GPT-5.5 matches GPT-5.4 per-token latency but achieves a much higher level of intelligence. It is specifically designed to work within Codex to perform engineering work ranging from implementation and refactors to debugging and testing. It uses significantly fewer tokens to complete the same tasks compared to previous generations.

Unique Factor

The first model to achieve over 80% on Terminal-Bench 2.0, demonstrating a breakthrough in complex command-line workflow automation.

Key Capabilities

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Agentic Intelligence

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1M Context Window

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Efficient Codex Integration

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OSWorld Proficiency

Benchmarks

MMLU Score

94%

HumanEval (Coding)

98%

GPQA Diamond

94%

MATH Benchmark

95.5%

Top Use Cases

Autonomous Engineering refactors

Give the model a messy, multi-part engineering task and let it plan, execute, and validate the fix.

Example: “I'm experiencing a memory leak in the post-launch version. Debug the system, produce a rewrite for the affected module, and verify it with tests.”

Computer Use Automation

Let the model navigate software interfaces, click, type, and move across tools to finish a task.

Example: “Analyze our last 6 months of speaking requests, score them for risk, and build an automated Slack agent to handle low-risk approvals.”

Detailed Features

Agentic Coding: Solves real-world GitHub issues with 58.6% accuracy in a single pass.

OSWorld Proficiency: Capable of operating real computer environments autonomously (78.7%).

Conceptual Clarity: Superior ability to understand system-wide architecture and catch issues in advance.

1M Context Window: Standard 1M context available for all Plus and Enterprise users.

Token Efficiency: Reaches high-quality outputs with fewer tokens and retries.

Natively Multimodal: Full integration of text, vision, and audio for seamless interaction.

✓ Strengths & Pros

• Exceptional agentic autonomy and planning
• Matches latency of GPT-5.4 while being smarter
• Highly efficient token usage saves costs
• Deeply integrated with Codex for professional dev work

✕ Limitations & Cons

• Higher base cost compared to GPT-5.3
• Agentic behaviors can occasionally be over-eager
• Requires Codex for full computer-use capabilities

Ideal Usage & Target Audience

Best For

Software engineers, knowledge workers, and teams looking to automate complex tool-based workflows.

Not Recommended For

Users needing only basic information retrieval (use GPT-5.3).

API Implementation

javascript

const openai = require('openai');

// GPT-5.5 Agentic Call
const response = await openai.chat.completions.create({
  model: 'gpt-5-5',
  messages: [{ role: 'user', content: 'Fix the bug in my Vite configuration and deploy it.' }],
  agent_mode: 'enabled'
});

Check the official documentation for full SDK details.

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