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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-sonnet-4',
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-sonnet-4",
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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Product Detail
✨ Introducing Claude Sonnet 4: Anthropic's cutting-edge AI model engineered for superior performance in coding, reasoning, and analytics. Designed for efficiency and precision, Sonnet 4 provides developers and businesses with robust solutions for complex tasks, boasting a 200K-token context window for precise and comprehensive solutions.
🔬 Technical Specifications & Performance Benchmarks
Claude Sonnet 4 strikes an impressive balance between efficiency and high-end performance, making it an ideal choice for demanding AI applications that require both speed and accuracy.
Core Capacities
- Context Window: 200K tokens (Enables extensive input handling)
- Output Capacity: Up to 64K tokens per response (For comprehensive and detailed outputs)
Performance Metrics
- SWE-bench: 72.7% (Indicates exceptional coding proficiency)
- Terminal-bench: 35.5% (Demonstrates solid command-line reasoning)
API Pricing (Per Million Tokens)
- Input Tokens: $3.15
- Output Tokens: $15.75
- Estimated Cost for 1,000 Tokens: $0.0189 total ($0.00315 input + $0.01575 output)
🚀 Key Capabilities: Empowering Your Workflows
Claude Sonnet 4 is engineered to deliver reliable and precise outputs across a diverse range of workflows, significantly enhancing productivity and accuracy for developers and businesses alike.
- Advanced Coding: Excels in complex code reviews, efficient bug fixes, and sophisticated multi-file code edits, streamlining development cycles.
- Sophisticated Reasoning: Possesses strong multi-step reasoning abilities, crucial for in-depth analytics, data interpretation, and intricate problem-solving across various domains.
- Seamless Tool Utilization: Robust support for function calling and precise JSON structuring, making it perfect for automating API interactions and integrating with existing toolchains.
- Flexible API Features: Includes streaming capabilities and function calling for building highly scalable, responsive, and dynamic applications.
💡 Optimal Use Cases for Claude Sonnet 4
Leverage Claude Sonnet 4 across various domains to maximize efficiency and drive innovation:
Developer Tools
- Code reviews & optimization
- Efficient bug identification & fixing
- Multi-file code base management
Advanced Data Analytics
- Processing large business datasets
- Generating insightful reports & summaries
Business Process Automation
- Streamlining repetitive workflows
- Seamless API integration for automated tasks
Complex Problem-Solving
- Tackling multi-step reasoning challenges
- Supporting strategic decision-making
🆚 Claude Sonnet 4: Head-to-Head Comparisons
See how Claude Sonnet 4 stands out against other leading models, particularly in critical coding performance metrics.
- Vs. Gemini 2.5 Flash: Sonnet 4 exhibits superior coding accuracy (72.7% vs. 63.8% SWE-bench), positioning it as the preferred choice for demanding software development tasks.
- Vs. OpenAI o3-mini: Achieves stronger coding performance (72.7% vs. 69.1% SWE-bench), offering enhanced efficiency for coding-centric workflows and robust project execution.
- Vs. Qwen3-235B-A22B: Provides higher coding precision (72.7% vs. ~60% SWE-bench, estimated), making it an optimized solution for peak code efficiency and reliability in complex scenarios.
💻 Code Samples & Integration
For practical examples of Claude Sonnet 4 in action, particularly with Anthropic's messaging API, refer to the embedded snippet below. This demonstrates how easily you can integrate Sonnet 4 into your applications.
<snippet data-name="anthropic.messages" data-model="anthropic/claude-sonnet-4"></snippet>⚠️ Important Limitations to Consider
While powerful, Claude Sonnet 4 has specific limitations that users should be aware of when planning projects:
- No Vision Capabilities: This model is strictly limited to text-based inputs and outputs, meaning it cannot process images or video data.
- No Fine-Tuning Support: Currently, customization through fine-tuning your own datasets is not available for Claude Sonnet 4.
- Text-Based Tasks Only: Its functionalities are confined exclusively to processing and generating text content.
🔗 API Access & Comprehensive Documentation
Integrate Claude Sonnet 4 seamlessly into your applications and platforms. Comprehensive API documentation, including detailed guides and examples, is readily available for developers.
❓ Frequently Asked Questions (FAQ)
A: Claude Sonnet 4 excels in advanced coding (code reviews, bug fixes), sophisticated multi-step reasoning for analytics, and efficient tool utilization with API automation.
A: It features a robust 200K-token context window, allowing it to process and understand very large inputs for complex tasks.
A: No, Claude Sonnet 4 is a purely text-based model and does not have vision capabilities. Its functionalities are limited to processing and generating text exclusively.
A: Sonnet 4 demonstrates superior coding accuracy, notably outperforming models like Gemini 2.5 Flash and OpenAI o3-mini on the SWE-bench benchmark.
A: Currently, fine-tuning support is not available for Claude Sonnet 4, meaning users cannot customize it with their own specific datasets.
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