Claude Opus 4.1

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 4.1 is Anthropic's most capable model, an upgrade to Opus 4 focused on agentic tasks, real-world coding, and reasoning. It supports text and image input with a 200K context window and text output, reaches 74.5% on SWE-bench Verified, and is available via the Anthropic API, Amazon Bedrock, and Google Cloud Vertex AI. Pricing matches Opus 4 at $15 per million input tokens and $75 per million output tokens.

Capabilities

Model	Knowledge Cutoff	Input	Output	Context Length	Cost (per 1 million tokens)
claude-4.1-opus	Mar 31 2025	Text, Image, Pdf	Text	200,000	$15.00/1M input $75.00/1M output

info

• 1M represents 1 Million Tokens
• All prices listed are based on 1 Million Tokens
• Anthropic API model ID: claude-opus-4-1-20250805 (Bedrock: anthropic.claude-opus-4-1-20250805-v1:0, Vertex AI: claude-opus-4-1@20250805)

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-4.1-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-4.1-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-4.1-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

• Highest-accuracy coding and agentic workflows
• Complex reasoning and multi-step analysis
• Large-context document and codebase review
• Research and data analysis tasks that need precision
• High-stakes enterprise decision support
• Multimodal understanding with text and images

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References

1. Anthropic - Claude Opus 4.1 announcement
   https://www.anthropic.com/news/claude-opus-4-1
2. Anthropic - Models overview (model IDs and context)
   https://docs.anthropic.com/en/docs/about-claude/models/all-models
3. Anthropic - Pricing
   https://platform.claude.com/docs/en/about-claude/pricing