Claude Sonnet 4.6 Batch
Neural Network
Claude Sonnet 4.6 by Anthropic is a model for coding, agentic scenarios, and professional tasks in batch mode.
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, max
- Capabilities
- reasoning, function calling
Prompt cost
(per 1M tokens)
Answer cost
(per 1M tokens)
How it works Claude Sonnet 4.6 Batch?
Sonnet 4.6 is an Anthropic Sonnet-class model focused on development, agentic scenarios, and professional tasks: iterative coding, navigating large codebases, and managing projects from concept to completion. The batch version is designed for batch processing, where it is more convenient to send requests as an array rather than one by one. In BotHub, access to Claude Sonnet 4.6 is available without a VPN or foreign card: pay with a Russian card in rubles, pay-as-you-go for tokens used, no subscription needed, and balances do not expire. Over 250 models are gathered in one window on the website and in the Telegram bot, making it easy to compare Claude's response with other models, while a unified OpenAI-compatible API eliminates the need to rewrite integrations. Traffic is encrypted, chats are not saved, and companies have access to contracts, invoices, electronic document management, and an admin panel with limits. Use this model for analyzing and refactoring unfamiliar code, debugging and code reviews, building agents and automations, and for batch processing of similar requests.Frequently asked questions about Claude Sonnet 4.6 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: it analyzes long files, writes and refactors code, finds bugs, solves math and logic problems, and calls external functions. The context window is one million tokens, so an entire codebase or a voluminous report will fit into a single request.
The single response limit is 128,000 tokens. This is enough for a large code module, detailed documentation, or translating a large text in its entirety without breaking it into parts. If the material still doesn't fit, just ask it to continue — the model will write the next fragment.
Yes, reasoning mode is supported: before the final answer, the model runs a chain of thought. This significantly helps with math, logic, code debugging, and multi-step tasks where it is important not to guess the answer, but to consistently analyze the condition and verify intermediate conclusions.
Yes, function calling and structured JSON output are available. The model decides when to call your tool and returns the result in the specified schema — convenient for agents and integrations. In BotHub, this works via a unified OpenAI-compatible API, and the model can be swapped for another without rewriting code.
You can upload images and documents: screenshots, diagrams, charts, report pages. The model will analyze them along with the prompt text and answer based on the content. Audio and video are not marked in our data — for such tasks, BotHub has separate models in the same interface.
There are no formal language evaluations in our data, so we won't promise specific figures: Anthropic models are multilingual, and they usually work with Russian without issues. Test it with your task — the BotHub interface is in Russian, payment is in rubles, and no VPN or foreign card is needed.