我们使用必要 Cookie 来保障开桥正常运行。经你同意，可选 Cookie 将帮我们记住你的偏好，并了解你如何使用我们的服务。你可以接受或拒绝可选 Cookie，也可以随时管理你的选择。详情请参阅我们的 隐私政策。
gpt-5.3-codex vs gpt-5.4
Compare gpt-5.3-codex from openai and gpt-5.4 from openai side by side — pricing, context window, features, and provider availability.
gpt-5.3-codex
GPT‑5.3‑Codex is OpenAI’s most capable agentic coding model, designed to handle not just code generation but longer, end‑to‑end work on a computer. It combines the frontier coding strength of GPT‑5.2‑Codex with the reasoning and professional knowledge capabilities of GPT‑5.2, and is engineered to run faster (about 25% faster in Codex). It’s built for long‑running, multi‑step tasks that can include research, tool use, debugging, and complex execution, while staying interactive—so you can steer it, ask questions, and refine direction as it works without losing context. In evaluations, it sets new highs on software engineering and agentic benchmarks (including SWE‑Bench Pro and Terminal‑Bench 2.0) and shows strong results on OSWorld‑Verified and GDPval. It’s also deployed with strengthened cybersecurity safeguards and is trained to help identify software vulnerabilities.
gpt-5.4
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
gpt-5.3-codexgpt-5.4Access All Top AI Models via 开桥
Why limit yourself to one model? 开桥 gives you access to all leading AI models through a single, unified API. Compare, test, and switch between models effortlessly.
How to use gpt-5.3-codex or gpt-5.4
Simply change the model name to gpt-5.3-codex or gpt-5.4 to adjust the model. 开桥 normalizes requests and responses across providers for you.
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-codex",
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-codex",
input="What is the meaning of life?"
)
print(responses)
