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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.

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gpt-5.2

gpt-5.2

By : openai

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

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
openaigpt-5.2
openaigpt-5.4
Input Context Window
The number of tokens supported by the input context window.
400K
tokens
1.1M
tokens
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
128K
tokens
128K
tokens
Release Date
When the model was first released.
December 11, 2025
10 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 400,000 tokens). gpt-5.2 is more affordable for input tokens ($1.75/M vs $2.5/M). gpt-5.2 is cheaper for output tokens ($14/M vs $15/M).

Providers for GPT-5.2

开桥 Provider to the best providers that are able to handle your prompt size and parameters, with fallbacks to maximize uptime.

AzureAzure
Status
Latency
-
Throughput
-
Uptime
-
Price
Input
$ 1.75/ M tokens
Output
$ 14/ M tokens
Cache read
$ 0.18/ M tokens
Cache write 5m
-
Cache write 1h
-
Cache write
-
Web search
$ 0.014/ counts
Image
-
Image input
gpt-image-2-2026-04-21
$ 8/ M tokens
Image output
gpt-image-2.5-sunburst
$ 30/ M tokens
Image cache
gpt-image-2.5-sunburst
$ 2/ M tokens
reasoning
-
Video
-
Audio
-
Audio cache read
-
Audio input
-
Audio & Video
-
Image search
-
Web search image
-
Status Page

Providers for GPT-5.4

开桥 Provider to the best providers that are able to handle your prompt size and parameters, with fallbacks to maximize uptime.

OpenAIOpenAI
Status
Latency
-
Throughput
-
Uptime
-
Price
Input
$ 2.5/ M tokens
Output
$ 15/ M tokens
Cache read
$ 0.25/ M tokens
Cache write 5m
-
Cache write 1h
-
Cache write
-
Web search
$ 0.01/ counts
Image
-
Image input
gpt-image-2
$ 8/ M tokens
Image output
gpt-image-1-mini
$ 8/ M tokens
Image cache
gpt-image-2
$ 2/ M tokens
reasoning
-
Video
-
Audio
-
Audio cache read
-
Audio input
-
Audio & Video
-
Image search
-
Web search image
-
Status Page

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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. 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)

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