GPT-5.1-Codex-Mini

Approved Data Classifications

Description

GPT‑5.1 Codex Mini is a smaller, faster, and more cost‑effective variant of the GPT‑5.1 Codex model designed by OpenAI for coding assistance and development workflows. It maintains support for large context windows (up to ~400 k tokens) and strong code generation capabilities while reducing compute and cost relative to the full GPT‑5.1 Codex, making it well‑suited for quick iterations, simpler coding tasks, and environments where efficiency matters. Despite being less capable than the full Codex version, it still offers robust coding support with lower token costs and quicker responses, ideal for where speed and economy are more important than maximum capability.

Capabilities

Model	Training Data	Input	Output	Context Length	Cost (per 1 million tokens)
gpt-5.1-codex-mini	September 2024	Image, Text, Audio, Video	Text	400,000	$0.25/1M input $2.00/1M output

info

• 1M represents 1 Million Tokens
• All prices listed are based on 1 Million 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-5.1-codex-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-5.1-codex-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-5.1-codex-mini",
messages: [
{ role: "system", content: "You are a helpful assistant." },
{
role: "user",
content: "Write a haiku about an Alligator.",
},
],
});

print(completion.choices[0].message)

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References

1. OpenAI https://openai.com/
2. LLM Stats https://llm-stats.com
3. Artificial Analysis https://artificialanalysis.ai