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Claude 4.5 Opus

It excels in software engineering and agentic workflows, supports advanced tool use and large context windowsl.

Free $1 Tokens for New Members

Text to Speech

Javascript

Python

                                        const Anthropic = require('@anthropic-ai/sdk');

const api = new Anthropic({
  baseURL: 'https://api.ai.cc/',
  authToken: '',
});

const main = async () => {
  const message = await api.messages.create({
    model: 'anthropic/claude-opus-4-5',
    max_tokens: 2048,
    system: 'You are an AI assistant who knows everything.',
    messages: [
      {
        role: 'user',
        content: 'Tell me, why is the sky blue?',
      },
    ],
  });

  console.log('Message:', message);
};

main();

                                        import asyncio
from anthropic import Anthropic

client = Anthropic(
    base_url="https://api.ai.cc/",
    auth_token="",
)


def main():
    message = client.messages.create(
        model="anthropic/claude-opus-4-5",
        max_tokens=2048,
        system="You are an AI assistant who knows everything.",
        messages=[
            {
                "role": "user",
                "content": "Hello, Claude",
            }
        ],
    )

    print("Message:", message.content)


if __name__ == "__main__":
    main()

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Claude 4.5 Opus

Product Detail

Claude 4.5 Opus sets a new benchmark in AI capabilities, excelling in intelligence, efficiency, and practical utility. Engineered for complex challenges, it shines in tasks such as coding, advanced agentic operations, and deep research, all while upholding a strong commitment to robust safety and ethical alignment.

Technical Specifications

📖
Context Window: Supports up to 200K tokens, facilitating extensive inputs for long-form analysis and multi-step processes. This allows for deeper understanding and coherence across vast amounts of data.
🖼️
Multimodality: Capable of processing diverse input types, including text, code, images, and documents. It demonstrates exceptional proficiency in visual reasoning, such as interpreting charts, diagrams, and extracting structured data from screenshots.
✍️
Output: Generates high-quality text output, adaptable to a wide range of applications and user needs.

Performance Benchmarks

Claude 4.5 Opus leads the way in critical evaluations, showcasing superior efficiency and capability compared to its predecessors and peers.

SWE-bench Verified (Software Engineering): Achieves state-of-the-art scores among frontier models. It surpasses previous benchmarks with a significant 4.3 percentage points improvement over Sonnet 4.5 at high effort, demonstrating its advanced problem-solving skills in coding environments. (Data referenced from: Original Claude 4.5 Opus API Overview)

Performance Benchmark Chart for Claude 4.5 Opus

Key Features

🧠
Advanced Reasoning and Ambiguity Handling: Independently navigates complex tradeoffs, resolves multi-system bugs, and addresses intricate issues without explicit guidance, showcasing robust cognitive abilities.
💡
Creative Problem-Solving: Employs novel and adaptive strategies in agentic scenarios, including developing policy-compliant workarounds for restricted tasks.
⚡
Token-Efficient Processing: Delivers performance that matches or exceeds prior models while utilizing significantly fewer tokens, optimizing for both cost and speed in operations.
🔒
Robust Alignment and Safety: Exhibits the lowest rates of concerning behaviors, including strong resistance to misuse and prompt injections, validated by thorough external audits.
🛠️
Agentic Toolset: Fully supports essential capabilities like context compaction, memory retention, and multi-agent coordination, enabling sophisticated, extended, and collaborative AI workflows.

Claude 4.5 Opus API Pricing

Input: $5.25 / MTok

Output: $26.25 / MTok

Versatile Use Cases

💻
Software Engineering and Coding: Ideal for drafting detailed development plans, debugging complex code, performing deep research across repositories, and executing multi-step implementations.
🤖
Agentic and Automation Tasks: Capable of handling real-world interactions, such as serving as a virtual assistant for customer support or managing intricate multi-turn processes across diverse systems.
🔬
Deep Research and Analysis: Excels at synthesizing vast amounts of information from various sources like slides, spreadsheets, and web content, supporting in-depth investigations and comprehensive report generation.
🎓
Professional Evaluations: Simulates human-level performance in critical assessments such as engineering interviews, providing valuable assistance in recruitment and training initiatives.
🤝
Collaborative Workflows: Orchestrates subagents effectively for complex projects, enabling the formation of scalable AI teams within enterprise environments.
📈
Everyday Productivity: Streamlines daily tasks involving desktop applications, web browsers, and documents, boosting efficiency across business and creative fields.

Code Sample Integration

While direct `` tag rendering is not supported in this rich text format, integrating Claude 4.5 Opus into your applications is straightforward using its API. For detailed code examples and comprehensive integration guides, please refer to the official documentation:

View API Documentation

Comparison with Other Leading Models

➡️
vs. Claude Sonnet 4.5: While Sonnet 4.5 offers speed for lighter workloads, Opus 4.5's advanced reasoning and superior token efficiency make it the preferred choice for deep research and complex multi-agent scenarios. It achieves comparable results using up to 76% fewer tokens.
➡️
vs. Gemini 3 Pro: Claude 4.5 Opus reasserts its leadership in specialized domains like software engineering and coding. It outperforms Gemini 3 Pro on SWE-bench Verified and agentic tasks, attributed to its enhanced reasoning depth.
➡️
vs. Claude 3 Opus: Significantly advancing upon its predecessor, Claude 4.5 Opus integrates efficiency optimizations and boasts enhanced agentic capabilities, leading to higher scores in SWE-bench and various research-oriented tasks.

Frequently Asked Questions (FAQ)

❓What defines Claude 4.5 Opus's primary strengths?

Claude 4.5 Opus excels in intelligence, efficiency, and practical utility, making it ideal for complex tasks such as coding, advanced agentic operations, and deep research, all while maintaining robust safety standards.

❓What is the maximum context window for Claude 4.5 Opus?

It supports an extensive context window of up to 200,000 tokens, allowing it to handle very large inputs for in-depth analysis and multi-step processes.

❓Can Claude 4.5 Opus process images and non-textual data?

Yes, it is multimodal, capable of processing text, code, images, and documents. It's particularly strong in visual reasoning and extracting structured data from visual inputs.

❓What are the API pricing details for Claude 4.5 Opus?

The API is priced at $5.25 per million tokens for input and $26.25 per million tokens for output.

❓How does Claude 4.5 Opus perform in software engineering tasks?

It achieves state-of-the-art scores in SWE-bench Verified benchmarks, demonstrating a 4.3 percentage point improvement over Claude Sonnet 4.5, proving its advanced capability in software engineering and coding.

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