gpt-5-nano

Approved Data Classifications

Description

OpenAI’s GPT-5 model, released on August 7, 2025, featuring a unified architecture that dynamically routes each query between a fast-response base model and a deeper “GPT-5 Thinking” model for complex reasoning in real time . It delivers state-of-the-art performance across domains—94.6 % on the AIME 2025 math Olympiad without tools, 74.9 % on SWE-bench Verified, 88 % on Aider Polyglot for real-world coding, 84.2 % on multimodal understanding (MMMU), and 46.2 % on HealthBench Hard—with the GPT-5 Pro variant boosting GPQA performance to 88.4 % and cutting major errors by 22 % in expert evaluations. Its multimodal capabilities excel at interpreting and generating content from both text and images, while integrated web search and architectural improvements reduce hallucinations by ~45 % (~80 % when “thinking”) compared to GPT-4o and lower deception rates to 2.1 %. Available to all ChatGPT users—with Plus subscribers enjoying higher usage limits and Pro subscribers getting full access to GPT-5 Pro—GPT-5 replaces GPT-4.1, GPT-4o, and GPT-4.5 as the new default, bringing expert-level AI to everyone

Capabilities

Model	Training Data	Input	Output	Context Length	Cost (per 1 million tokens)
gpt-5-nano	October 2024	Image, Text, Audio, Video	Text	1,000,000	$0.05/1M input $0.40/1M 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-nano",
    "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-nano", # 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-nano",
    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