Claude Opus 4.1 Batch
Neural Network
Claude Opus 4.1 API is Anthropic's updated flagship model for programming, complex reasoning, and agentic tasks.
Specifications
- Input
- text, images, documents
- Output
- text
- Context size
- 200 000 tokens
- Max answer length
- 32 000 tokens
- Reasoning effort
- low, medium, high
- Capabilities
- reasoning, function calling
Prompt cost
(per 1M tokens)
Answer cost
(per 1M tokens)
How it works Claude Opus 4.1 Batch?
Claude Opus 4.1 is an updated version of Anthropic's flagship model: compared to the previous version, it has improved in programming, reasoning, and agentic tasks, achieving 74.5% on SWE-bench Verified. The batch variant is designed for bulk request processing when an instant response isn't required and the task volume is high. In BotHub, the model works without a VPN or foreign card: you pay with a Russian card in rubles based on actual token usage, not a subscription, and unused tokens do not expire. Over 250 models are available in one window, making it easy to switch between them and compare responses. The unified BotHub API allows you to connect Claude Opus 4.1 to your services and switch models without rewriting the integration. Chats are encrypted via AES-GCM, and for companies, we offer contracts, invoices, electronic document management (EDO), and an admin panel with limits. Developers use the model for refactoring large repositories, debugging, and code review; analysts for multi-step reasoning and STEM tasks; product teams for agentic scenarios; and editorial/support teams for bulk text processing.Frequently asked questions about Claude Opus 4.1 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.
This is an Anthropic text model with a 200,000 token context window. It analyzes long documents and code, reasons through tasks, writes and refactors, and reads images. The batch mode is convenient when you need to run an array of similar requests at once.
The output limit is 32,000 tokens per response. This is enough for a voluminous article, a detailed document analysis, or a large code module in its entirety. If the material is larger, split the task into parts: the 200,000 token context allows you to keep the entire project in the chat.
Yes, the model's reasoning before answering is confirmed. It first unfolds the solution process and then provides the result, making it well-suited for STEM tasks, logic, code debugging, and resolving conflicting requirements in long documents.
Yes, the model supports function calling and structured JSON output. It is convenient to use as the basis for agents and pipelines: it selects the tool itself, and the response arrives in a format that your code can parse without workarounds or additional cleaning.
According to our data, in addition to text, it accepts images and documents: screenshots, diagrams, charts, PDFs, and contracts. There is no information about audio or video in our data, so for such files, it is better to switch to a specialized model in the same interface.
There are no separate metrics for languages in our data, but Opus 4.1 is one of Anthropic's multilingual models, and in practice, it is usually capable of handling Russian-language tasks. Test it with your own material: the BotHub interface is in Russian, payment is in rubles, and no VPN or foreign card is required.