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.
API Usage Examples
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 pricing
Chat, coding agents & document work. Priced per 1M tokens — input, cached input and output are billed separately. GPTProto is 10% below official rates.
Your usage
Claude · ≈ 148M tokens/mo (48M cached)
OpenRouter
List + 5.5% credit fee
$2164.86
per month
Input (non-cached)$506.40
Cache read$75.96
Output$1582.50
Claude
Direct from Claude (list price)
$2,052
per month
Input (non-cached)$480
Cache read$72
Output$1,500
BEST VALUE
GPTProto
10% off official
$1846.80
per month
After discount$1846.80
Effective$1846.80
Monthly cost by source
OpenRouter
$2164.86
Claude
$2,052
GPTProto
$1846.80
Save $205.20 / month
on GPTProto vs Claude (−10%)
Annual savings ≈ $2462.40 · pay as you go
OpenRouter costs include its ~5.5% credit purchase fee. GPTProto applies a per-model discount (10–30% off) and your bonus credits are also spent at discounted rates — savings compound. Estimates assume a 60% cache hit rate.
Related Models
All Models
| Model | Input → Output | ||||
|---|---|---|---|---|---|
| 200K | $13.50 / $67.50 per 1M | $16.88 / $1.35 per 1M | Input: TextInput: Document Output: Text | |
| — | — | $0.30 / $1.20 per 1M | — / $0.006 per 1M | Input: TextInput: Image Output: Text | |
| 1.05M | $0.79 / $2.38 per 1M | — / $0.04 per 1M | Input: Text Output: Text | ||
| 1.05M | $8.00 / $40.00 per 1M | $10.00 / $0.80 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 1.05M | $0.90 / $4.50 per 1M | $0.60 / $0.09 per 1M | Input: TextInput: ImageInput: VideoInput: DocumentInput: Audio Output: Text | ||
| 1M | $9.00 / $45.00 per 1M | $11.25 / $0.23 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 1M | $1.80 / $5.40 per 1M | $2.25 / $0.23 per 1M | Input: TextInput: ImageInput: VideoInput: DocumentInput: Audio Output: Text | ||
| — | 1.31M | $0.15 / $0.50 per 1M | — / $0.03 per 1M | Input: TextInput: ImageInput: VideoInput: Document Output: Text | |
| — | 1.05M | $0.30 / $1.20 per 1M | — / $0.006 per 1M | Input: TextInput: Image Output: Text | |
| 1.31M | $1.26 / $3.96 per 1M | — / $0.23 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 1.05M | $0.90 / $4.50 per 1M | $0.60 / $0.09 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 500K | $1.20 / $3.60 per 1M | — / $0.30 per 1M | Input: TextInput: Image Output: Text | ||
| 1M | $1.80 / $5.40 per 1M | $2.25 / $0.23 per 1M | Input: TextInput: ImageInput: VideoInput: Document Output: Text | ||
| 1M | $4.50 / $22.50 per 1M | $5.63 / $0.45 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 1.05M | $0.90 / $4.50 per 1M | $0.60 / $0.09 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 1.05M | $2.70 / $13.50 per 1M | $0.27 / $0.27 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 1.05M | $0.16 / $0.96 per 1M | $0.20 / $0.02 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 1.05M | $1.60 / $9.60 per 1M | $2.00 / $0.16 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 500K | $1.20 / $3.60 per 1M | $0.30 / $0.30 per 1M | Input: TextInput: Image Output: Text | ||
| 1M | $1.80 / $9.00 per 1M | $2.25 / $0.18 per 1M | Input: TextInput: Document Output: Text | ||
| 1.05M | $0.48 / $0.96 per 1M | $0.10 / $0.10 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 1.05M | $1.26 / $3.96 per 1M | $0.23 / $0.23 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 1M | $9.00 / $45.00 per 1M | $11.25 / $0.90 per 1M | Input: TextInput: Document Output: Text | ||
| 1M | $0.36 / $1.44 per 1M | $0.07 / $0.07 per 1M | Input: TextInput: Document Output: Text | ||
| 1M | $4.50 / $22.50 per 1M | $5.63 / $0.45 per 1M | Input: TextInput: Document Output: Text | ||
| 1M | $4.50 / $22.50 per 1M | $5.63 / $0.45 per 1M | Input: TextInput: Document Output: Text | ||
| — | 1.05M | $0.30 / $1.20 per 1M | — / $0.006 per 1M | Input: Text Output: Text | |
| 1M | $0.75 / $1.50 per 1M | $0.12 / $0.12 per 1M | Input: TextInput: Image Output: Text | ||
| 262K | $0.85 / $3.60 per 1M | $0.14 / $0.14 per 1M | Input: TextInput: Document Output: Text | ||
| 205K | $0.24 / $0.96 per 1M | $0.30 / $0.02 per 1M | Input: TextInput: Document Output: Text | ||
| 262K | $0.54 / $2.70 per 1M | $0.09 / $0.09 per 1M | Input: TextInput: Document Output: Text | ||
| 262K | $0.10 / $0.97 per 1M | — | Input: TextInput: Image Output: Text | ||
| 262K | $0.10 / $0.97 per 1M | — | Input: TextInput: Image Output: Text | ||
| 262K | $0.02 / $0.18 per 1M | — | Input: TextInput: Image Output: Text |
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
Guides, comparisons, and updates related to this model.
All Articles
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