Claude Haiku 5.5
Neural Network
Claude Haiku 5.5 is a fast, compact Anthropic model for code, summarization, and subagents; Claude Haiku 5.5 API is available in BotHub.
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 Haiku 5.5?
Claude Haiku 5.5 is a compact, fast Anthropic model designed for streaming tasks where speed and processing cost are critical: summarizing large text arrays, subagents in complex systems, and browser/computer interaction scenarios. Compared to Claude Haiku 4.5, version 5.5 is stronger in coding and interface management, making it suitable for tasks that previously required heavier models. Via BotHub, it works from Russia without a VPN or foreign card: you pay in rubles for tokens used, not for a subscription, and tokens do not expire. Other neural networks are available in the same window—switch and compare answers in a few clicks. A unified OpenAI-compatible API allows you to change models in multi-agent systems without rewriting integrations. For companies, we offer contracts, invoices, electronic document management, and an admin panel with limits. It is suitable for offloading support with knowledge base answers, processing thousands of documents into summaries, writing and fixing code in routine tasks, building pipelines with subagents, and automating browser actions.Frequently asked questions about Claude Haiku 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.
This is an Anthropic model for working with text, code, and documents in batch mode. It is suitable for analyzing large sets of files, data extraction, writing and refactoring code, image analysis, and preparing responses where the result is needed in bulk rather than instantly.
The output limit is up to 128,000 tokens per response, and the context window reaches up to 1,000,000 tokens. This is sufficient for voluminous reports, documentation, long code analyses, or detailed answers based on a large set of uploaded materials.
Yes, reasoning mode is supported: the model can build a chain of steps before the final answer. This is useful for STEM tasks, logic, debugging code, and multi-step document analysis, where not only the result but also the correct solution path is important.
Yes, the model works with tools: function calling and structured JSON output are supported. Through the unified OpenAI-compatible BotHub API, you can connect it to your services and switch to another model if necessary without rewriting the integration.
Text, images, and documents are accepted as input, including in native formats. You can send an interface screenshot, diagram, scan, or PDF and receive a text analysis. There is no information about audio or video in our data; the model generates text only.
Anthropic models traditionally work confidently with various languages, including Russian, so queries and documents are usually processed correctly. The easiest way to check this is with your own task: in BotHub, access is open from Russia without a VPN or foreign card, and payment is in rubles for tokens used.