Agentic Computer Use 2.0
Claude 4.1 executes mouse and keyboard commands with 25% fewer errors than previous versions, perfect for building autonomous agents that navigate complex web interfaces and software.
Claude Opus 4.1 (Build 20250805)
The Claude Opus 4.1 API delivers Anthropic’s peak cognitive performance. With a 200k context window and Computer Use 2.0, this 4.1 model excels at multi-step reasoning, complex coding, and nuanced document analysis for high-stakes enterprise agents.
Ví dụ sử dụng API
curl --request POST "https://gptproto.com/v1/chat/completions" \
--header "Authorization: Bearer $GPTPROTO_API_KEY" \
--header "Content-Type: application/json" \
--data '{
"model": "claude-opus-4-1-20250805",
"messages": [
{
"role": "user",
"content": "Hello"
}
]
}'Claude Opus 4.1 20250805 Giá
Trò chuyện, tác tử lập trình và xử lý tài liệu. Tính phí trên mỗi 1 triệu token — token đầu vào, đầu vào được lưu vào bộ nhớ đệm và đầu ra được tính phí riêng. GPTProto thấp hơn 10% so với mức giá chính thức.
| Kịch bản | Claude giá niêm yết | OpenRouter | GPTProto | Bạn tiết kiệm / tháng |
|---|---|---|---|---|
| Cá nhân10M token / tháng (4.8M trong cache) | $205.20 | $216.49 | $184.68 | −$20.52≈ $246.24 / năm |
| Nhóm100M token / tháng (48M trong cache) | $2052.00 | $2164.86 | $1846.80 | −$205.20≈ $2462.40 / năm |
| Doanh nghiệp500M token / tháng (240M trong cache) | $10260.00 | $10824.30 | $9234.00 | −$1026.00≈ $12312.00 / năm |
Tiết kiệm $0.00 / tháng
Tiết kiệm hàng năm ≈ $0.00 · trả theo mức sử dụng
Mô hình liên quan
Tất cả mô hình
Claude Opus 4.1 (Build 20250805)Hiện tại
Claude · 200K context · $13.5/M input · $67.5/M output
Bytedance · 262K context · $0.0971/M input · $0.9714/M output
Bytedance · 262K context · $0.0971/M input · $0.9714/M output
Mô hình
Giá: GPTProto
so với giá chính thức
so với OpenRouter
Ngữ cảnh
Độ ổn định
Claude Opus 4.1 (Build 20250805)Hiện tại
Claude
$13.50 / $67.50cho mỗi 1 triệu token
-10%
-15%
200K
Claude Opus 4.1 API Standout Features
The 4.1 Opus model brings unmatched reasoning and multimodal capabilities to your application.
Deep Technical Coding
With a 92.5% HumanEval score, the 4.1 model manages complex architectural planning and multi-file refactoring, allowing developers to automate technical debt reduction and repository management.
Advanced Cognitive Reasoning
The 4.1 architecture reduces hallucinations in legal and medical contexts by using state-of-the-art refusal mechanisms, ensuring Claude provides trustworthy synthetic reports for high-stakes tasks.
Visual Logic & Multimodality
Process 200k context windows containing blueprints, charts, and video frames. Claude 4.1 provides high spatial accuracy for visual logic tasks, identifying patterns across massive unstructured sets.
Claude Opus 4.1 API FAQ
Find technical answers regarding Claude 4.1 integration, benchmarks, and data privacy on our platform.
How does the Claude Opus 4.1 API differ from direct access?
Using the Claude Opus 4.1 API via GPTProto.com provides a unified OpenAI-compatible endpoint. You gain access to multi-provider failover, centralized billing, and advanced prompt caching (saving up to 90% on repeated context) without a monthly minimum commitment. We provide the same raw performance of the Anthropic 4.1 model but with enterprise-grade orchestration tools and simplified rate limit management for Opus tier intelligence.
Is my data used to train the Claude 4.1 model?
No. Data privacy is a core pillar for Claude. Any data sent through our platform to the Claude Opus 4.1 API is not used for training the model by us or Anthropic. The 4.1 version is Zero Data Retention (ZDR) eligible for enterprise users, making it suitable for processing sensitive legal, medical, or biochemical research documents within its 200,000-token context window without compromising proprietary intellectual property.
What is the typical latency for the Opus 4.1 API?
Claude Opus 4.1 is a high-parameter model optimized for reasoning rather than raw speed. Typical Time to First Token (TTFT) ranges from 1.5s to 3s. For tasks requiring sub-second responses, we recommend Claude 4.1 Haiku. However, for complex multi-step logic and visual analysis, the Opus 4.1 API provides the highest accuracy in the market, outperforming competitors in the 2025 benchmark landscape for deep cognitive work.
How does Claude Opus 4.1 perform on coding benchmarks?
Claude remains a leader in technical execution. On the SWE-bench Verified benchmark, Claude Opus 4.1 achieved a 54.0% score, significantly higher than legacy models. It is specifically designed to handle multi-file refactoring, architectural planning, and bug discovery across large repositories. Developers can use the 4.1 API to build autonomous engineering agents that understand complex dependencies and library integrations natively.
Does the 4.1 API support multi-document analysis?
Yes, Claude excels at synthesizing information across massive datasets. With its 200k context window, you can upload multiple PDFs, layered documents, and even handwritten forms. Claude 4.1 uses visual logic to analyze charts and technical diagrams with high spatial accuracy. This makes it the premier choice for financial modeling and legal synthesis where the model must identify subtle patterns hidden within thousands of pages.
Can I use Claude Opus 4.1 for automated computer use?
The Claude Opus 4.1 API is natively optimized for 'Computer Use 2.0'. This allows Claude to interact with digital interfaces by taking screenshots and issuing keyboard or mouse commands. The 4.1 model shows a 25% improvement in tool-invocation reliability, making it the most stable engine for building agentic workflows that require the model to navigate software, fill forms, and manage administrative tasks autonomously.
Related Articles
Hướng dẫn, bài so sánh và cập nhật liên quan đến mô hình này.
Tất cả bài viết
Claude Opus 4.6: Agentic AI Coding Guide
Explore how Claude Opus 4.6 revolutionizes software architecture with a 1M context window and agentic capabilities. Discover its true coding power today!
Claude Opus 4.6 Codes a C Compiler Autonomously
Discover how Claude Opus 4.6 successfully built a complex C compiler autonomously. Learn about the shift from manual coding to agentic teams and the future of scalable AI-driven software development.