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gpt-5.2 vs gpt-5.4
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
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
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-5.2gpt-5.4Providers for GPT-5.2
OpenQiao Provider to the best providers that are able to handle your prompt size and parameters, with fallbacks to maximize uptime.
AzureProviders for GPT-5.4
OpenQiao Provider to the best providers that are able to handle your prompt size and parameters, with fallbacks to maximize uptime.
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How to use gpt-5.2 or gpt-5.4
Simply change the model name to gpt-5.2 or gpt-5.4 to adjust the model. OpenQiao 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)
