GPT-6.1 Sol

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

GPT-6.1 Sol is OpenAI's model for complex coding and professional tasks. It accepts text, image, and PDF input and produces text output. The model supports reasoning.effort settings of low, medium, high, xhigh, and max, with a 1,050,000-token context window and up to 128,000 output tokens.

Capabilities

Model	Knowledge Cutoff	Input	Output	Context Length	Cost (per 1 million tokens)
gpt-6.1-sol	Apr 30 2026	Text, Image, Pdf	Text	1,050,000	Up to 272,000 input tokens Input: $2.20 · Output: $11.00 Cached input: $0.11 · Cache writes: $2.75 More than 272,000 input tokens Input: $4.40 · Output: $16.50 Cached input: $0.22 · Cache writes: $5.50

info

• 1M represents 1 Million Tokens
• All prices listed are based on 1 Million Tokens
• For requests with more than 272,000 input tokens, the higher rates apply to the entire request

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": "gpt-6.1-sol",
    "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="gpt-6.1-sol", # 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: "gpt-6.1-sol",
    messages: [
        { role: "system", content: "You are a helpful assistant." },
        {
            role: "user",
            content: "Write a haiku about an Alligator.",
        },
    ],
});

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

---

References

1. GPT-6.1 Sol Model
   https://developers.openai.com/api/docs/models/gpt-6.1-sol
2. Azure OpenAI Models
   https://learn.microsoft.com/en-us/azure/ai-foundry/openai/concepts/models