Claude Opus 5
Neural Network
Claude Opus 5 is Anthropic's flagship model for complex reasoning and agentic tasks; Claude Opus 5 for code and code review.
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 Opus 5?
Claude Opus 5 is Anthropic's flagship model for demanding reasoning, programming, and long agentic scenarios where tasks must be managed from inception to result. It excels at end-to-end software work: analyzing code, finding bugs, performing reviews, and handling visual analysis—parsing screenshots, diagrams, and interfaces. On BotHub, the model is accessible from Russia without a VPN or foreign card: pay with a Russian card in rubles only for tokens actually used, which do not expire. Compare answers with over 250 models in one window, and use a unified API to switch models without rewriting integrations. Chats are AES-GCM encrypted, and teams get access to contracts, invoices, EDI, an admin panel, and limits. It helps developers refactor large modules, find bugs, and review code before release; analysts break down complex tasks; product teams build agents for multi-step processes; and support/design teams get interface screenshot analysis.Frequently asked questions about Claude Opus 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-opus-5 works with text, accepts images and documents, can reason before answering, and call functions. With a context window of up to 1,000,000 tokens, it is suitable for analyzing large codebases, refactoring, debugging, STEM tasks, and long analytical breakdowns.
The output limit is up to 128,000 tokens per response, which is dozens of pages of text. Enough for a large technical document, detailed analysis, or an entire voluminous code module without manual stitching. If the response hits the limit, just ask it to continue.
Yes, a reasoning mode is available: before the final answer, the model unfolds a chain of steps. This helps with math, logic, debugging, and architectural decisions where it is important not to guess the result, but to derive it sequentially and double-check along the way.
Yes. The model supports function calling and structured JSON output, making it easy to integrate into agents, pipelines, and backend logic. BotHub offers a unified OpenAI-compatible API: you can switch models without rewriting your integration.
Images and documents — yes: send a screenshot, diagram, PDF, or file and ask to analyze the content. Input support for audio and video is not noted in our data, so for those formats, it is safer to choose a model in the catalog where this is explicitly stated.
Our data does not describe the model's performance with specific languages, so we cannot make promises — test it with your task, it's quick. BotHub itself is Russian-speaking: the interface and support are in Russian, payment is via Russian cards in rubles, without VPN or foreign cards.