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Compare gpt-5.2 from openai and gpt-5.4 from openai side by side — pricing, context window, features, and provider availability.
GPT-5.2 is the newest frontier-grade model in the GPT-5 family, outperforming GPT-5.1 in agentic capabilities and long-context handling. It uses adaptive reasoning to dynamically allocate compute—responding quickly to straightforward questions while applying deeper analysis to more complex tasks. Designed for broad task coverage, GPT-5.2 delivers consistent improvements across math, coding, science, and tool-calling workloads, producing more coherent long-form responses and more reliable tool use.
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.
开桥 Provider to the best providers that are able to handle your prompt size and parameters, with fallbacks to maximize uptime.
开桥 Provider to the best providers that are able to handle your prompt size and parameters, with fallbacks to maximize uptime.
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.
Simply change the model name to gpt-5.2 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-5.2",
messages=[
{
"role": "user",
"content": "What is the meaning of life?"
}
]
)
print(completion.choices[0].message.content)
# Responses API
responses = client.responses.create(
model="gpt-5.2",
input="What is the meaning of life?"
)
print(responses)