gpt-5.3-chat vs gpt-5.4

Compare gpt-5.3-chat from openai and gpt-5.4 from openai side by side — pricing, context window, features, and provider availability.

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gpt-5.3-chat

gpt-5.4

gpt-5.3-chat

By : openai

GPT-5.3 Chat points to the GPT-5.3 Instant snapshot currently used in ChatGPT. We recommend GPT-5.2 for API usage, but feel free to use this GPT-5.3 Chat model to test our latest improvements for chat use cases.

gpt-5.4

By : openai

GPT‑5.4, released March 5, 2026, is OpenAI’s newest frontier model aimed at complex professional work. It’s available in the API as gpt-5.4 and in ChatGPT as GPT‑5.4 Thinking, with a higher-end GPT‑5.4 Pro tier for maximum performance. It supports adjustable deliberation through reasoning.effort, letting developers trade latency/cost for deeper reasoning. The model accepts text and image inputs and produces text output, with a 1,050,000‑token context window and up to 128,000 output tokens; its published knowledge cutoff is Aug 31, 2025. OpenAI also published a system card describing new cybersecurity-focused mitigations for the Thinking variant.

Model Overview

Feature

gpt-5.3-chat

gpt-5.4

Input Context Window

The number of tokens supported by the input context window.

128K

tokens

1.1M

tokens

Maximum Output Tokens

The number of tokens that can be generated by the model in a single request.

128K

tokens

Release Date

When the model was first released.

March 4, 2026

7 months ago

March 5, 2026

7 months ago

Input Type

The types of inputs the model can process.

Output Type

The types of outputs the model can process.

gpt-5.4 offers a larger context window (1,050,000 tokens vs 128,000 tokens). gpt-5.4 supports reasoning capabilities, while gpt-5.3-chat does not.

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How to use gpt-5.3-chat or gpt-5.4

Simply change the model name to gpt-5.3-chat or gpt-5.4 to adjust the model. 开桥 normalizes requests and responses across providers for you.

OpenAI: Python-SDK

OpenAI: cURL

Anthropic: Python-SDK

Anthropic: cURL

from openai import OpenAI

client = OpenAI(
  base_url="https://openqiao.com/api/v1",
  api_key="<OPENQIAO_API_KEY>",
)

# Chat Completion
completion = client.chat.completions.create(
  model="gpt-5.3-chat",
  messages=[
    {
      "role": "user",
      "content": "What is the meaning of life?"
    }
  ]
)
print(completion.choices[0].message.content)

# Responses API
responses = client.responses.create(
  model="gpt-5.3-chat",
  input="What is the meaning of life?"
)
print(responses)