GPT-5.3-Codex
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GPT-5.3-Codex

gpt-5.3-codex
OpenAI

Pricing

  • Input Tokens: $1.75 /M tokens
  • Output Tokens: $14 /M tokens
  • Cache Read: $0.175 /M tokens

Input Modalities

  • Text
  • Vision
  • PDF

Context length

  • 400K tokens

Max output

  • 128K tokens

Capabilities

  • Thinking
  • Streaming
  • Tool calling
  • Web search
  • URL context
  • Code interpreter
  • Computer use
  • File search
  • Memory tool
  • Structured outputs
  • Citations
  • Prompt caching
  • Background mode
  • Server-side sessions

Try this model

Python
import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["AIHUBMIX_API_KEY"],
    base_url="https://shkq.org/v1",
)

response = client.chat.completions.create(
    model="gpt-5.3-codex",
    messages=[
      {
        "role": "user",
        "content": "Hello, how are you?"
      }
    ],
    max_tokens=1024,
    stream=False,
)

print(response.choices[0].message.content)

Frequently asked questions

What is the context length of GPT-5.3-Codex?

GPT-5.3-Codex has a 400,000 token context window. It supports up to 128,000 output tokens.