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Home/Models/Anthropic/Claude 4 Sonnet
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Claude 4 Sonnet

입력:$3/M
출력:$15/M
맥락:200K
최대 출력:64K
Fastest, most cost-effective model, 200K context window.
상업적 사용
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개요
기능
가격
API
버전

Key Features of Claude Sonnet 4

  • Hybrid Reasoning Architecture: Claude Sonnet 4 employs a hybrid reasoning approach, combining rapid response generation with extended, step-by-step thinking. This dual-mode processing allows the model to adapt its reasoning depth based on task complexity.
  • Enhanced Coding and Reasoning: The model demonstrates significant improvements in coding tasks, complex problem-solving, and precise instruction following compared to its predecessors.
  • Improved Memory Retention: Claude Sonnet 4 exhibits better memory retention over long conversations, enabling it to maintain context and coherence in extended interactions.
  • Safety and Coherence: Anthropic emphasizes safety and coherence in Claude Sonnet 4, implementing measures to reduce issues like reward hacking and ensuring reliable performance in various applications.

Technical Specifications

  • Model Type: Large Language Model (LLM), Generative Pre-trained Transformer (GPT), Foundation Model
  • Developer: Anthropic
  • Release Date: May 22, 2025
  • Access: Available to both free and paid users via Anthropic API, Amazon Bedrock, and Google Cloud’s Vertex AI
  • Safety Level: Classified under safety level ASL-3, with steps taken to mitigate potential risks associated with advanced AI capabilities

Evolution from Previous Models

Claude Sonnet 4 builds upon the foundation laid by its predecessor, Claude 3.7 Sonnet, which introduced hybrid reasoning capabilities and demonstrated improved performance in various benchmarks. The evolution to Claude Sonnet 4 includes further enhancements in coding proficiency, reasoning accuracy, and memory retention, positioning it as a more robust and reliable AI model for diverse applications.

Benchmark Performance

Claude Sonnet 4 significantly enhances the capabilities of its predecessor, Sonnet 3.7, excelling in both coding and reasoning tasks with improved precision and controllability. Achieving state-of-the-art performance on SWE-bench (72.7%), Sonnet 4 balances capability and computational efficiency, making it suitable for a broad range of applications from routine coding tasks to complex software development projects. Key enhancements include improved autonomous codebase navigation, reduced error rates in agent-driven workflows, and increased reliability in following intricate instructions.

Claude 4 Sonnet

Technical Indicators

  • Context Window: While specific details for Claude Sonnet 4 are not provided, Claude 3.7 Sonnet featured a context window of 200,000 tokens, suggesting that the newer model maintains or improves upon this capacity.
  • Extended Thinking Mode: Claude Sonnet 4 includes a beta “extended thinking” mode, allowing users to optimize reasoning versus tool use, enhancing the model's adaptability to complex tasks.
  • Thinking Summaries: A new feature that condenses the chatbot’s reasoning process into easily understandable insights, aiding users in comprehending the model's decision-making pathways.

Application Scenarios

Claude Sonnet 4's enhanced capabilities make it suitable for a wide range of applications:

  • Software Development: The model's improved coding proficiency supports tasks such as code generation, debugging, and software refactoring, streamlining development workflows.
  • Customer Support: With better memory retention and reasoning, Claude Sonnet 4 can manage prolonged and intricate customer interactions, providing consistent and coherent support.
  • Data Analysis: The model's ability to process and analyze large datasets enables it to assist in complex data analytics tasks, offering valuable insights and summaries.
  • Educational Tools: Claude Sonnet 4 can serve as an educational assistant, helping students and educators with explanations, problem-solving, and content generation.
  • Content Creation: The model's proficiency in generating coherent and contextually relevant text makes it a valuable tool for content creators in drafting articles, reports, and creative writing.

How to access Claude Sonnet 4 API

Step 1: Sign Up for API Key

Log in to cometapi.com. If you are not our user yet, please register first. Sign into your CometAPI console. Get the access credential API key of the interface. Click “Add Token” at the API token in the personal center, get the token key: sk-xxxxx and submit.

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Step 2: Send Requests to Claude Opus 4.1

Select the “\**claude-sonnet-4-20250514\**” endpoint to send the API request and set the request body. The request method and request body are obtained from our website API doc. Our website also provides Apifox test for your convenience. Replace <YOUR_API_KEY> with your actual CometAPI key from your account. base url is Anthropic Messages format and Chat format.

Insert your question or request into the content field—this is what the model will respond to . Process the API response to get the generated answer.

Step 3: Retrieve and Verify Results

Process the API response to get the generated answer. After processing, the API responds with the task status and output data.

Claude 4 Sonnet 가격

[모델명]의 경쟁력 있는 가격을 살펴보세요. 다양한 예산과 사용 요구에 맞게 설계되었습니다. 유연한 요금제로 사용한 만큼만 지불하므로 요구사항이 증가함에 따라 쉽게 확장할 수 있습니다. [모델명]이 비용을 관리 가능한 수준으로 유지하면서 프로젝트를 어떻게 향상시킬 수 있는지 알아보세요.
코멧 가격 (USD / M Tokens)공식 가격 (USD / M Tokens)할인
입력:$3/M
출력:$15/M
입력:$3.75/M
출력:$18.75/M
-20%

Claude 4 Sonnet의 샘플 코드 및 API

[모델 이름]의 포괄적인 샘플 코드와 API 리소스에 액세스하여 통합 프로세스를 간소화하세요. 자세한 문서는 단계별 가이드를 제공하여 프로젝트에서 [모델 이름]의 모든 잠재력을 활용할 수 있도록 돕습니다.
Python
JavaScript
Curl
import anthropic
import os

# Get your CometAPI key from https://api.cometapi.com/console/token, and paste it here
COMETAPI_KEY = os.environ.get("COMETAPI_KEY") or "<YOUR_COMETAPI_KEY>"
BASE_URL = "https://api.cometapi.com"

message = anthropic.Anthropic(
    base_url=BASE_URL,
    api_key=COMETAPI_KEY,
)
messages = message.messages.create(
    model="claude-sonnet-4-20250514",
    max_tokens=1024,
    messages=[{"role": "user", "content": "Hello, Claude"}],
)
print(messages.content[0].text)

Python Code Example

import anthropic
import os

# Get your CometAPI key from https://api.cometapi.com/console/token, and paste it here
COMETAPI_KEY = os.environ.get("COMETAPI_KEY") or "<YOUR_COMETAPI_KEY>"
BASE_URL = "https://api.cometapi.com"

message = anthropic.Anthropic(
    base_url=BASE_URL,
    api_key=COMETAPI_KEY,
)
messages = message.messages.create(
    model="claude-sonnet-4-20250514",
    max_tokens=1024,
    messages=[{"role": "user", "content": "Hello, Claude"}],
)
print(messages.content[0].text)

JavaScript Code Example

import Anthropic from "@anthropic-ai/sdk";

// Get your CometAPI key from https://api.cometapi.com/console/token, and paste it here
const api_key = process.env.COMETAPI_KEY;
const base_url = "https://api.cometapi.com";

const anthropic = new Anthropic({
  apiKey: api_key,
  baseURL: base_url,
});

const message = await anthropic.messages.create({
  model: "claude-sonnet-4-20250514",
  max_tokens: 1024,
  messages: [{ role: "user", content: "Hello, Claude" }],
});
console.log(message.content[0].text);

Curl Code Example

curl https://api.cometapi.com/v1/messages \
     --header "Authorization: $COMETAPI_KEY" \
     --header "content-type: application/json" \
     --data \
'{
    "model": "claude-sonnet-4-20250514",
    "max_tokens": 1024,
    "messages": [
        {"role": "user", "content": "Hello, Claude"}
    ]
}'

Claude 4 Sonnet의 버전

Claude 4 Sonnet에 여러 스냅샷이 존재하는 이유는 업데이트 후 출력 변동으로 인해 일관성을 유지하기 위해 이전 스냅샷을 보관하거나, 개발자에게 적응 및 마이그레이션을 위한 전환 기간을 제공하거나, 글로벌 또는 지역별 엔드포인트에 따라 다양한 스냅샷을 제공하여 사용자 경험을 최적화하기 위한 것 등이 포함될 수 있습니다. 버전 간 상세한 차이점은 공식 문서를 참고해 주시기 바랍니다.
claude-sonnet-4-20250514
claude-sonnet-4-20250514-thinking
cometapi-sonnet-4-20250514
cometapi-sonnet-4-20250514