Claude Opus 5.5

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 5.5 is Anthropic's latest Opus model for coding, agentic workflows, computer use, mathematical and scientific reasoning, and long-horizon professional work. Anthropic reports that it performs at the level of Claude Fable 5.1 on most tasks while producing output more than 30% faster than Claude Opus 5. The NaviGator AI deployment accepts text, image, and PDF input and produces text output.

Capabilities

Model	Knowledge Cutoff	Input	Output	Context Length	Cost (per 1 million tokens)
claude-opus-5.5	Jun 2026	Text, Image, Pdf	Text	200,000	$4.00/1M input $20.00/1M output

info

• 1M represents 1 Million Tokens
• All prices listed are based on 1 Million Tokens
• Maximum output: 64,000 tokens
• Cache reads: $0.20 per 1M tokens
• Cache writes: $5.00 per 1M 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-opus-5.5",
    "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-opus-5.5", # 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-opus-5.5",
    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

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References

1. Anthropic - Introducing Claude Opus 5.5
   https://www.anthropic.com/claude-opus-5-5
2. Claude Opus 5.5 System Card
   https://www-cdn.anthropic.com/fc1b44717c85dc068bc6ba5024219938094694bd/Claude%20Opus%205.5%20System%20Card.pdf