GPT-5.4 Mini

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-5.4 Mini is OpenAI’s high-throughput small model designed for fast, cost-efficient coding, reasoning, and multimodal workloads. It supports text and image input, produces text output, and keeps the GPT-5.4 family’s 400,000-token context window while lowering cost and latency for production applications. OpenAI positions it as a strong default for high-volume agentic and developer workflows, with pricing at $0.75 per 1M input tokens, $4.50 per 1M output tokens, and $0.075 per 1M cached input tokens.

Capabilities

Model	Knowledge Cutoff	Input	Output	Context Length	Cost (per 1 million tokens)
gpt-5.4-mini	Aug 31 2025	Text, Image	Text	400,000	$0.75/1M input $4.50/1M output

info

• 1M represents 1 Million Tokens
• All prices listed are based on 1 Million Tokens
• Cached input: $0.075 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": "gpt-5.4-mini",
    "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-5.4-mini", # 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-5.4-mini",
    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. OpenAI - Introducing GPT-5.4 mini and nano
   https://openai.com/index/introducing-gpt-5-4-mini-and-nano/
2. OpenAI API Docs - GPT-5.4 mini
   https://developers.openai.com/api/docs/models/gpt-5.4-mini
3. OpenAI API Pricing
   https://developers.openai.com/api/docs/pricing