Claude Sonnet 5
Neural Network
Claude Sonnet 5 is an Anthropic model with adjustable reasoning depth: Claude Sonnet 5 for coding, agent, and professional tasks.
Specifications
- Input
- text, images, documents
- Output
- text
- Context size
- 1 000 000 tokens
- Max answer length
- 128 000 tokens
- Reasoning effort
- none, 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?
Claude Sonnet 5 is an Anthropic Sonnet-class model designed for programming, agent scenarios, and professional work tasks. Its key feature is adaptive thinking: you choose the level of reasoning effort, from low to maximum, balancing response speed with the depth of analysis for complex tasks. Via BotHub, the model is accessible from Russia without a VPN or foreign card; you pay in rubles only for the tokens used, and tokens do not expire. Over 250 other neural networks are available in the same window, making it easy to run the same prompt through multiple models and compare results. For development, there is a unified OpenAI-compatible API: connect once and switch models without rewriting your integration. Data is transmitted encrypted, and for companies, BotHub provides contracts, invoices, and electronic document management with an admin panel and limits. What people do with Sonnet 5: write and refactor code, debug errors in unfamiliar repositories, build agents and connect external tools, prepare analytics and documentation, and turn long technical texts into clear summaries.Frequently asked questions about Claude Sonnet 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.
claude-sonnet-5 works with text: writes and refactors code, debugs errors, analyzes documents and images, and solves tasks with step-by-step reasoning. The context window is one million tokens, so a large repository, contract, or series of reports can fit into a single request.
Up to 128,000 tokens in a single response—enough for extensive documentation, processing large texts, or an entire code module without splitting. If the response hits the limit, ask it to continue, and the model will finish the rest.
Yes, reasoning mode is supported: before the final answer, the model breaks down the task step-by-step. This helps with math, logic, code debugging, and situations requiring multiple conditions. It is optional for simple questions but significantly improves accuracy for complex ones.
Yes, the model supports function calling and structured JSON output, so it can be integrated into agents, chatbots, and internal services. In BotHub, access is provided via a unified OpenAI-compatible API, so you can switch models without rewriting your integration.
Images and documents are accepted as input: send a screenshot of an interface, a diagram, a table, or a PDF contract and ask it to analyze the content. Audio and video input is not noted in our data—please check the BotHub interface before building your scenario.
There is no specific note about languages in our data, so we cannot make specific promises: formulate your request in a way that is convenient for you and evaluate the response. BotHub access works from Russia without a VPN or foreign card, and payment is in rubles.