Claude Sonnet 5 Batch
Neural Network
Claude Sonnet 5 Batch is an Anthropic model for coding, agents, and work tasks with adjustable reasoning levels.
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
Prompt cost
(per 1M tokens)
Answer cost
(per 1M tokens)
How it works Claude Sonnet 5 Batch?
Claude Sonnet 5 is an Anthropic model from the Sonnet line, focused on programming, agent scenarios, and professional work tasks. Its key feature is adaptive thinking with a selectable reasoning effort level: from low to maximum, allowing you to set the depth of analysis for specific tasks. The batch variant operates in batch mode: requests are sent as an array and processed asynchronously, which is convenient for large volumes. In BotHub, the model is accessible without a VPN or foreign card; you can pay with a Russian card in rubles, paying only for tokens actually consumed, which do not expire. Over 250 neural networks are available in one window, and a unified OpenAI-compatible API allows switching models without rewriting integrations. Companies have access to contracts, invoices, electronic document management, and an admin panel with limits. It is useful for mass labeling and classification of requests, running agent pipelines on large datasets, batch code refactoring and review, preparing repository documentation, and analytical reviews of voluminous materials.Frequently asked questions about Claude Sonnet 5 Batch
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.
The model works with text, images, and documents, can reason before answering, and call functions. A 1,000,000 token context allows loading a large repository or a batch of contracts in full. Suitable for code, refactoring, debugging, analytics, and batch processing of similar requests.
The single response limit is 128,000 tokens. This is enough for a voluminous technical document, a detailed analysis, or a large code module in its entirety, without cutting it into parts. If the response hits the limit, ask it to continue — the model will write the next fragment.
Yes, reasoning before answering is supported: the model first thinks through the task step-by-step, then provides the result. This significantly helps in mathematics, STEM tasks, code debugging, and logical chains where not only the result but also the correct solution path is important.
Yes, function calling and structured JSON output are supported — the model is suitable for agents, integrations with external services, and formatting data to a strict schema. In BotHub, requests go through a unified OpenAI-compatible API, so you can switch models without rewriting the integration.
Images and documents — yes: send a screenshot, diagram, table, or PDF and ask to analyze the content, extract data, or explain an error in the image. There are no notes in our data regarding audio and video input, so it is better to choose a specialized model from the catalog for those.
The language of prompts and responses is not specified in our data, so we cannot promise specifics — test the model with your own phrasing and typical examples. The BotHub interface is in Russian, payment is in rubles, and access from Russia is available without a VPN or foreign card.