Claude 3.7 Sonnet

Approved Data Classifications

Description

Claude 3.7 Sonnet is Anthropic's first hybrid reasoning AI model, capable of operating in both standard mode (quick responses) and extended thinking mode (visible step-by-step reasoning). It features a 200K context window and excels particularly in software engineering, coding, front-end web development, content generation, data analysis, and planning tasks. The model outperforms previous versions in agentic workflows while maintaining the same pricing structure: $3 per million input tokens and $15 per million output tokens. Available on all Claude plans (though extended thinking excludes the free tier) and accessible via Anthropic API, Amazon Bedrock, and Google Cloud's Vertex AI.

Capabilities

Model	Training Data	Input	Output	Context Length	Cost (per 1 million tokens)
claude-3.7-sonnet	August 2023	Image, Text	Text	200,000	$3.00/1M input $15.00/1M output

info

• 1M represents 1 Million Tokens
• All prices listed are based on 1 Million Tokens

Availability

Cloud Provider

Usage

curl

curl -X POST https://api.ai.it.ufl.edu/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer <API_TOKEN>" \
-d '{
    "model": "claude-3.7-sonnet",
    "messages": [
        {
            "role": "system",
            "content": "You are a helpful assistant."
        },
        {
            "role": "user",
            "content": "Write a haiku about an Alligator."
        }
    ]
}'

python

from openai import OpenAI
  client = OpenAI(
      api_key="your_api_key",
      base_url="https://api.ai.it.ufl.edu/v1"
  )

  response = client.chat.completions.create(
      model="claude-3.7-sonnet", # model to send to the proxy
      messages = [
          { role: "system", content: "You are a helpful assistant." },
          {
              "role": "user",
              "content": "Write a haiku about an Alligator."
          }
      ]
  )

  print(response.choices[0].message)

javascript

import OpenAI from 'openai';

const openai = new OpenAI({
  apiKey: 'your_api_key',
  baseURL: 'https://api.ai.it.ufl.edu/v1'
});

const completion = await openai.chat.completions.create({
    model: "claude-3.7-sonnet",
    messages: [
        { role: "system", content: "You are a helpful assistant." },
        {
            role: "user",
            content: "Write a haiku about an Alligator.",
        },
    ],
});

print(completion.choices[0].message)