GPT-5 Mini
Approved Data Classifications
Description
GPT-5 Mini is OpenAI’s smaller GPT-5 variant for general-purpose text and multimodal workloads. It is designed to balance capability, latency, and cost for everyday assistant and agent tasks while keeping the same OpenAI API surface as the larger GPT-5 family.
Capabilities
| Model | Knowledge Cutoff | Input | Output | Context Length | Cost (per 1 million tokens) |
|---|---|---|---|---|---|
| gpt-5-mini | May 30 2024 | Text, Image | Text | 400,000 | $0.25/1M input $2.00/1M output |
info
1Mrepresents 1 Million Tokens- All prices listed are based on 1 Million Tokens
Availability
Cloud Provider
Usage
- curl
- python
- javascript
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-mini",
"messages": [
{
"role": "system",
"content": "You are a helpful assistant."
},
{
"role": "user",
"content": "Write a haiku about an Alligator."
}
]
}'
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-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)
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-mini",
messages: [
{ role: "system", content: "You are a helpful assistant." },
{
role: "user",
content: "Write a haiku about an Alligator.",
},
],
});
print(completion.choices[0].message)
References
- OpenAI
https://openai.com/- LLM Stats
https://llm-stats.com- Artificial Analysis
https://artificialanalysis.ai