Claude 4.7 Opus

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 Opus 4.7 is Anthropic’s most capable generally available model for complex reasoning and agentic coding. It was released on April 16, 2026, and supports a 1 million-token context window, up to 128,000 output tokens, adaptive reasoning with the xhigh effort level, and pricing of $5 per million input tokens and $25 per million output tokens.

Capabilities

Model	Knowledge Cutoff	Input	Output	Context Length	Cost (per 1 million tokens)
claude-4.7-opus	Jan 2026	Text, Image, Pdf	Text	1,000,000	$5.50/1M input $27.50/1M output

info

• 1M represents 1 Million Tokens
• All prices listed are based on 1 Million Tokens
• Supports adaptive reasoning / effort control including xhigh

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-4.7-opus",
    "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-4.7-opus", # 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-4.7-opus",
    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

• Advanced software engineering and code review
• Long-running autonomous or agentic workflows
• High-resolution vision and screenshot understanding
• Complex multi-step analysis with large context
• Professional knowledge work where consistency matters

---

References

1. Anthropic - Introducing Claude Opus 4.7
   https://www.anthropic.com/news/claude-opus-4-7
2. Claude Platform Docs - Release notes
   https://platform.claude.com/docs/en/release-notes/overview
3. Artificial Analysis
   https://artificialanalysis.ai/models/claude-opus-4-7