Claude Sonnet 5.5
Neural Network
Claude Sonnet 5.5 by Anthropic is a model for daily development tasks, often chosen as the Claude for coding and bug fixing.
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, Batch API
Prompt cost
(per 1M tokens)
Answer cost
(per 1M tokens)
How it works Claude Sonnet 5.5?
Claude Sonnet 5.5 is an Anthropic Sonnet-class model designed for clear, well-defined work tasks: it confidently builds new features, finds and fixes code bugs, and brings results to a working state. It is a direct successor to Claude Sonnet 5, so the familiar workflow is maintained, while performance on engineering tasks is higher. In BotHub, the model is accessible without a VPN or foreign card: pay with a Russian card in rubles only for tokens actually used, with no subscription. Over 250 other neural networks are available in the same window, making it easy to compare answers with alternatives, and via a unified OpenAI-compatible API, you can switch models in your service without rewriting the integration. Chats are encrypted via AES-GCM, and for companies, we offer contracts, invoices, EDI, and an admin panel with limits. Developers will find Claude Sonnet 5.5 useful for writing features, reviews, and refactoring, stack trace debugging, and analyzing unfamiliar code; analysts for structuring data and drafting documentation; and product teams for quickly validating ideas and technical specifications.Frequently asked questions about Claude Sonnet 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.
Anthropic's claude-sonnet-5.5 works with text: it writes and refactors code, finds bugs, solves STEM problems, analyzes uploaded documents and images, and calls external functions. A context window of up to 1,000,000 tokens allows you to keep a large project or a voluminous collection of materials in a single dialogue. In BotHub, the model is available without a VPN or foreign card.
The output limit is 128,000 tokens per response, which is dozens of pages: a long document, a large code module, or a detailed analysis in its entirety, without manual stitching of parts. If you need more, continue generation with the next request: the million-token context will retain everything written previously.
Yes, the reasoning mode is confirmed: before answering, the model breaks down the task into steps and checks itself. This significantly helps with math, logic, code debugging, and multi-step analysis of large documents. For simple questions, deep thinking is not required, and the answer comes immediately.
Yes. The model supports function calling and structured JSON output, making it easy to connect to tools, databases, and external services. In BotHub, this works via a unified OpenAI-compatible API: you can swap in another model without rewriting the integration.
Images and documents are accepted as input: you can send an interface screenshot, diagram, PDF, or contract directly into the chat and get an analysis. There is no mention of audio or video in our data, but for such formats, there are specialized models available nearby in BotHub.
There is no specific note about languages in our data, so we won't make specific promises: it's easier to test the model on your real task. If you are not satisfied with the result, in BotHub you can switch to another model in the same window and compare answers without changing the integration.