GPT-5.3-Codex
Approved Data Classifications
Description
GPT-5.3-Codex is OpenAI's coding-optimized model for long-horizon, agentic software tasks. It is an upgraded version of GPT-5.3 for Codex and similar coding environments, supports reasoning.effort settings (low, medium, high, and xhigh), and accepts text and image input with text output. The model provides a 400,000-token context window with up to 128,000 output tokens and a Sep 30, 2025 knowledge cutoff. Pricing is $2.20 per 1M input tokens, $17.60 per 1M output tokens, and $0.22 per 1M cached input tokens.
Capabilities
| Model | Knowledge Cutoff | Input | Output | Context Length | Cost (per 1 million tokens) |
|---|---|---|---|---|---|
| gpt-5.3-codex | Aug 31 2025 | Text, Image, Pdf | Text | 400,000 | $2.20/1M input $17.60/1M output |
info
1Mrepresents 1 Million Tokens- All prices listed are based on 1 Million Tokens
- Cached input: $0.22 per 1M 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-5.3-codex",
"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-5.3-codex", # 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-5.3-codex",
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 GPT-5.3-Codex Model
https://platform.openai.com/docs/models/gpt-5.3-codex- OpenAI API Pricing
https://openai.com/api/pricing/