Claude Opus 5.5: Anthropic's Advanced Model for Long-Horizon Agentic Coding and Knowledge Work

2026-09-28 · 原创·模型聚焦

Model Positioning

Claude Opus 5.5 (public model ID: `claude-opus-5-5`) is an advanced model from Anthropic designed for long-horizon agentic coding and knowledge work. As a significant member of the Claude family, it features always-on adaptive thinking, enabling dynamic reasoning depth adjustment during complex tasks. It also possesses strong tool-calling capabilities, allowing flexible integration into multi-step automated workflows. According to the official introduction, the model supports up to 1 million tokens of extended context, opening possibilities for ultra-long document processing and large-scale codebase analysis.

Core Parameters and Pricing

| Parameter | Value |

|-----------|-------|

| Vendor | Anthropic |

| Modality | chat |

| Context Window | 128,000 tokens |

| Official Price (Input) | $4 / per million tokens |

| Official Price (Output) | $20 / per million tokens |

On pricing, the listed rates of $4 for input and $20 for output (per million tokens) are competitive among flagship-tier models. For input-heavy long-context scenarios such as document understanding and code review, the lower input cost helps control overall expenditure, while the output price reflects the model's positioning for high-quality generation.

Suitable Business Scenarios

1. Long-Horizon Agentic Coding

Claude Opus 5.5's adaptive thinking and tool-calling capabilities make it well-suited for multi-step programming tasks. Developers can load project code snippets, API documentation, and test cases within the 128,000-token context window, enabling the model to generate code, plan refactoring, and debug with full-context awareness. Anthropic's optimization toward agentic coding means the model performs well in tool-chain invocation and multi-round iteration scenarios.

2. Enterprise Knowledge Work

For knowledge-intensive tasks such as legal contract review, research report drafting, and technical documentation consolidation, Claude Opus 5.5's long-context capability reduces information loss from chunking. The chat modality supports multi-turn conversational interaction, facilitating progressive questioning and conclusion refinement during analysis—ideal for enterprise knowledge management scenarios requiring deep reasoning.

3. Tool-Calling-Driven Automated Workflows

The model's strong tool-calling ability makes it ideal as the core reasoning engine in automated workflows. Combined with external APIs, database query tools, and code execution environments, Claude Opus 5.5 can perform data retrieval, analytical computation, and result summarization within a single session—suitable for enterprise knowledge Q&A systems and data analysis pipelines.

API Call Example

curl -X POST https://平台API地址/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "model": "claude-opus-5-5",
    "messages": [
      {"role": "user", "content": "Analyze the core architecture of the following codebase and provide refactoring suggestions."}
    ],
    "max_tokens": 4096
  }'

Conclusion

Claude Opus 5.5 demonstrates clear positioning advantages in long-horizon agentic coding, enterprise knowledge work, and tool-calling automation scenarios. Developers can visit the model marketplace to review detailed parameters and try the model online, evaluating integration plans based on their specific business needs.