Claude Opus 5.5
Neural Network
Claude Opus 5.5 is Anthropic's flagship model for complex reasoning, coding, and long-running agentic scenarios.
Specifications
- Input
- text, images, documents
- Output
- text
- Context size
- 1 000 000 tokens
- Max answer length
- 128 000 tokens
- Reasoning effort
- low, medium, high, extra high, max
- Capabilities
- reasoning, function calling
Prompt cost
(per 1M tokens)
Answer cost
(per 1M tokens)
How it works Claude Opus 5.5?
Claude Opus 5.5 is the top-tier model in Anthropic's lineup, designed for demanding reasoning, programming, and long-running agentic scenarios where the result is built through a chain of steps rather than a single response. It continues the Claude Opus 5 line and excels at multi-step edits in large codebases, where understanding project structure and making consistent changes is crucial. In BotHub, the model is accessible without a VPN or foreign card: you pay with a Russian card in rubles only for tokens actually used, with no mandatory subscription. Over 250 other models are available in the same window, allowing you to compare responses and switch with a few clicks. A unified OpenAI-compatible API lets you replace the model in existing systems without rewriting integrations. Chats are encrypted, and for companies, we offer contracts, invoices, electronic document management (EDO), and an admin panel with limits. It is useful for analyzing legacy projects before refactoring, building agents that complete long tasks, debugging intermittent bugs, designing service architecture, or analyzing large datasets with precise logic.Frequently asked questions about Claude Opus 5.5
You can use generated results for commercial purposes. You own all rights to the content you create. The only restriction: make sure your prompt does not include copyrighted third-party material. You are responsible for respecting the rights to any input data.
This is an Anthropic text model with a one-million token context window. It analyzes long documents and repositories, writes and refactors code, debugs errors, solves math and analytics problems, and assists with research, summaries, and preparing structured materials.
Up to 128,000 tokens in a single response. This is enough for a large code module, detailed technical analysis, extensive documentation, or an entire research chapter, without splitting the task into dozens of small requests and manually stitching results together.
Yes, reasoning mode is supported. The model builds a chain of steps before providing the final result, making it better at logic, multi-step calculations, debugging, and tasks where sequential analysis is more important than a quick response.
Yes, function calling and structured output are available. The model calls your tools and returns the answer in a specified schema, which is convenient for agents and integrations. In BotHub, this works via a unified OpenAI-compatible API without rewriting code.
It accepts text, images, and documents as input: you can send interface screenshots, diagrams, charts, scans, or PDFs and ask it to analyze the content. Audio and video are not supported, and the model generates responses in text.
Anthropic models work confidently with Russian queries: you can set tasks in the usual way, send Russian documents, and discuss the results. The easiest way to check the quality is to try it on your own task — in BotHub, access is open from Russia, without a VPN or foreign card.