Claude 4.6 Sonnet

Approved Data Classifications

This model is only approved for Open Data. When leveraging NaviGator AI’s suite offerings, please ensure you are selecting models that meet the compliance requirements in accordance with UF’s Data Classifications, grant awards or project specifications, and state and federal law.

Description

Claude Sonnet 4.6 is Anthropic’s best balance of speed and intelligence for agentic coding, planning, computer use, and long-context reasoning. It supports a 1 million-token context window in beta and adaptive reasoning.

Capabilities

Model	Knowledge Cutoff	Input	Output	Context Length	Cost (per 1 million tokens)
claude-4.6-sonnet	Aug 31 2025	Text, Image, Pdf	Text	1,000,000	$3.30/1M input $16.50/1M 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-4.6-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-4.6-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-4.6-sonnet",
    messages: [
        { role: "system", content: "You are a helpful assistant." },
        {
            role: "user",
            content: "Write a haiku about an Alligator.",
        },
    ],
});

console.log(completion.choices[0].message)

When to use

• Cost-sensitive coding and development workflows
• Long-form contexts without breaking the bank
• Agentic subagent in automated pipelines
• Balanced speed and depth
• Visual data extraction and analysis
• General-purpose chatbots and content generation

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References

1. Anthropic
   https://www.anthropic.com/claude-sonnet-4-6-system-card
2. LLM Stats
   https://llm-stats.com/models/claude-sonnet-4-6
3. Artificial Analysis
   https://artificialanalysis.ai/models/claude-sonnet-4-6