GPT 5.5

Supported Functionality Item Specification Input Text, Image Output Text Context 1,000,000 tokens Max Output 128,000 tokens Vision ✓ Supported Function Calling ✓ Supported Description

GPT-5.5 is the next-generation flagship foundation model developed by OpenAI. Positioned as the highest-capability model within the GPT-5 series, it combines advanced reasoning, multimodal understanding, long-context processing, and autonomous agent execution into a unified AI system.

Compared with GPT-4o and GPT-4.1, GPT-5.5 significantly improves reasoning depth, coding reliability, long-chain task stability, and tool-calling accuracy. The model is designed not only for conversational AI, but also for autonomous workflow execution, enterprise automation, large-scale code analysis, and intelligent agent systems.

Key Capabilities Advanced Reasoning: Delivers top-tier multi-step reasoning for mathematics, engineering, and analytical tasks. Code Generation: Excels at repository-scale coding, pull request generation, debugging, and architecture analysis. Agent Execution: Natively supports tool usage, workflow orchestration, and autonomous task planning. Long Context Processing: Handles million-token context workloads including large documents and codebases. Multimodal Understanding: Supports combined text and image reasoning for OCR and visual analysis. Enterprise Reliability: Provides more stable long-chain execution with reduced hallucination rates. Safety Alignment: Enhanced safety reasoning and operational risk control for enterprise deployments. Technical Strengths Feature Benefit Ultra-long Context Enables full-scale analysis of large repositories and enterprise documents Advanced Reasoning Architecture Improves complex planning and decision-making workflows Native Agent Capability Simplifies development of autonomous multi-tool AI systems Reliable Code Generation Reduces debugging overhead and coding inconsistencies Unified Multimodal Model Eliminates fragmentation between text and vision systems Enterprise-grade Stability Better suited for production-scale AI infrastructure Capability Ratings Dimension Rating Notes Reasoning Top-tier Exceptional multi-step analytical capability Coding Top-tier Strong performance in large-scale software engineering Creative Writing Excellent High-quality long-form generation and style control Multimodal Excellent Advanced combined vision-language understanding Response Speed Moderate Higher latency due to deep reasoning computation Context Window Huge Supports million-token context workloads Use Cases AI Coding: Repository analysis, code generation, PR review, and automated debugging. Agent Systems: Building autonomous AI agents with planning and tool execution. Enterprise Knowledge Bases: Long-context RAG and large-scale document analysis. Cloud Operations: Kubernetes, CI/CD, and infrastructure troubleshooting. Multimodal Workflows: OCR, image understanding, and document parsing. Advanced Analytics: Financial, engineering, and business intelligence analysis. Enterprise Copilots: AI assistants for workflow automation and productivity systems.