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GPT-5.4 pro

Input:$24/M
Output:$144/M
Bแป‘i cแบฃnh:1,050,000
ฤแบงu ra tแป‘i ฤ‘a:128,000
Ngร y phรกt hร nh:Mar 5, 2026

seedance-2-0

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Sแปญ dแปฅng thฦฐฦกng mแบกi

Playground cho GPT-5.4 pro

Khรกm phรก Playground cแปงa GPT-5.4 pro โ€” mรดi trฦฐแปng tฦฐฦกng tรกc ฤ‘แปƒ kiแปƒm tra mรด hรฌnh vร  chแบกy truy vแบฅn theo thแปi gian thแปฑc. Thแปญ prompts, ฤ‘iแปu chแป‰nh tham sแป‘ vร  lแบทp lแบกi ngay lแบญp tแปฉc ฤ‘แปƒ tฤƒng tแป‘c phรกt triแปƒn vร  xรกc thแปฑc cรกc trฦฐแปng hแปฃp sแปญ dแปฅng.

Technical Specifications of GPT-5.4-Pro

ItemGPT-5.4-Pro
ProviderOpenAI
Model familyGPT-5.4
Model tierPro (high-compute reasoning variant)
Input typesText, Image
Output typesText
Context window1,050,000 tokens
Max output tokens128,000 tokens
Knowledge cutoffAug 31, 2025
Reasoning levelsmedium, high, xhigh
Tool supportWeb search, file search, code interpreter, image generation
API supportResponses API (recommended)
ReleaseMarch 2026

What is GPT-5.4-Pro?

GPT-5.4-Pro is the highest-capability API variant of the GPT-5.4 model family, designed for extremely complex reasoning, research, coding, and enterprise automation tasks.

Compared with the standard GPT-5.4 model, GPT-5.4-Pro uses significantly more internal compute to โ€œthink harderโ€ before producing responses, which leads to more accurate and reliable outputs for difficult problems.

The model is optimized for professional workloads such as financial analysis, software engineering, scientific research, and large-scale document reasoning.


Main Features of GPT-5.4-Pro

  • Extreme reasoning performance: Uses additional compute to produce more precise answers on complex tasks.
  • 1.05M token context window: Enables analysis of extremely large documents, datasets, or entire repositories.
  • Configurable reasoning depth: Developers can control reasoning effort levels (medium, high, xhigh).
  • Advanced tool orchestration: Works with web search, file retrieval, and other tools through the Responses API.
  • Long-running reasoning support: Complex tasks may take minutes to complete due to deeper compute allocation.
  • Enterprise reliability: Designed for high-stakes workflows requiring maximum answer accuracy.

Benchmark Performance

OpenAI reports significant improvements in professional reasoning benchmarks with GPT-5.4 models:

BenchmarkGPT-5.4GPT-5.2
GDPval (knowledge work)83.0%70.9%
OfficeQA68.1%63.1%
Investment Banking Modeling87.3%71.7%

These improvements highlight GPT-5.4โ€™s stronger performance on complex professional knowledge tasks and analytical reasoning workflows.

GPT-5.4-Pro further improves reliability by allocating more reasoning compute than the standard GPT-5.4 model.


GPT-5.4-Pro vs Comparable Models

ModelContext WindowKey Strength
GPT-5.4-Pro1.05M tokensMaximum reasoning accuracy
GPT-5.41.05M tokensBalanced speed and capability
o3-proSmallerEfficient reasoning
Gemini 3 Pro~1M tokensStrong multimodal capabilities

Key takeaway:
Use GPT-5.4-Pro when maximum reasoning accuracy matters more than latency or cost.

Limitations

  • Higher latency due to deeper reasoning compute
  • More expensive than standard GPT-5.4
  • No audio or video generation
  • Some long tasks may take minutes to complete

How to access GPT-5.4 pro API

Step 1: Sign Up for API Key

Log in toย cometapi.com. If you are not our user yet, please register first. Sign into yourย CometAPI console. Get the access credential API key of the interface. Click โ€œAdd Tokenโ€ at the API token in the personal center, get the token key: sk-xxxxx and submit.

cometapi-key

Step 2: Send Requests to GPT-5.4 pro API

Select the โ€œgpt-5.4-proโ€ endpoint to send the API request and set the request body. The request method and request body are obtained from our website API doc. Our website also provides Apifox test for your convenience. Replace <YOUR_API_KEY> with your actual CometAPI key from your account. base url isย Responses.

Insert your question or request into the content fieldโ€”this is what the model will respond to . Process the API response to get the generated answer.

Step 3: Retrieve and Verify Results

Process the API response to get the generated answer. After processing, the API responds with the task status and output data.

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Giรก cแบฃ cho GPT-5.4 pro

Khรกm phรก mแปฉc giรก cแบกnh tranh cho GPT-5.4 pro, ฤ‘ฦฐแปฃc thiแบฟt kแบฟ ฤ‘แปƒ phรน hแปฃp vแป›i nhiแปu ngรขn sรกch vร  nhu cแบงu sแปญ dแปฅng khรกc nhau. Cรกc gรณi linh hoแบกt cแปงa chรบng tรดi ฤ‘แบฃm bแบฃo bแบกn chแป‰ trแบฃ tiแปn cho nhแปฏng gรฌ bแบกn sแปญ dแปฅng, giรบp dแป… dร ng mแปŸ rแป™ng quy mรด khi yรชu cแบงu cแปงa bแบกn tฤƒng lรชn. Khรกm phรก cรกch GPT-5.4 pro cรณ thแปƒ nรขng cao cรกc dแปฑ รกn cแปงa bแบกn trong khi vแบซn kiแปƒm soรกt ฤ‘ฦฐแปฃc chi phรญ.

ModelTierConditionComet Price (USD / M Tokens)Official Price (USD / M Tokens)Discount
gpt-5.4-proshort_contextlen <= 272000
Input:$24.0000/M
Output:$144.0000/M
Input:$30.0000/M
Output:$180.0000/M
-20%
long_context-
Input:$48.0000/M
Output:$216.0000/M
Input:$60.0000/M
Output:$270.0000/M
-20%
gpt-5.4-pro-2026-03-05short_contextlen <= 272000
Input:$24.0000/M
Output:$144.0000/M
Input:$30.0000/M
Output:$180.0000/M
-20%
long_context-
Input:$48.0000/M
Output:$216.0000/M
Input:$60.0000/M
Output:$270.0000/M
-20%

Mรฃ mแบซu vร  API cho GPT-5.4 pro

Truy cแบญp mรฃ mแบซu toร n diแป‡n vร  tร i nguyรชn API cho GPT-5.4 pro ฤ‘แปƒ tแป‘i ฦฐu hรณa quy trรฌnh tรญch hแปฃp cแปงa bแบกn. Tร i liแป‡u chi tiแบฟt cแปงa chรบng tรดi cung cแบฅp hฦฐแป›ng dแบซn tแปซng bฦฐแป›c, giรบp bแบกn khai thรกc toร n bแป™ tiแปm nฤƒng cแปงa GPT-5.4 pro trong cรกc dแปฑ รกn cแปงa mรฌnh.

curl https://api.cometapi.com/v1/responses \
     --header "Authorization: Bearer $COMETAPI_KEY" \
     --header "content-type: application/json" \
     --data \
'{
    "model": "gpt-5.4-pro-2026-03-05",
    "input": "How much gold would it take to coat the Statue of Liberty in a 1mm layer?",
    "reasoning": {
        "effort": "high"
    }
}'

cURL Code Example

curl https://api.cometapi.com/v1/responses \
     --header "Authorization: Bearer $COMETAPI_KEY" \
     --header "content-type: application/json" \
     --data \
'{
    "model": "gpt-5.4-pro-2026-03-05",
    "input": "How much gold would it take to coat the Statue of Liberty in a 1mm layer?",
    "reasoning": {
        "effort": "high"
    }
}'

Python Code Example

from openai import OpenAI
import os

# Get your CometAPI key from https://api.cometapi.com/console/token, and paste it here
COMETAPI_KEY = os.environ.get("COMETAPI_KEY") or "<YOUR_COMETAPI_KEY>"
BASE_URL = "https://api.cometapi.com/v1"

client = OpenAI(base_url=BASE_URL, api_key=COMETAPI_KEY)

response = client.responses.create(
    model="gpt-5.4-pro-2026-03-05",
    input="How much gold would it take to coat the Statue of Liberty in a 1mm layer?",
    reasoning={"effort": "high"},
)

print(response.output_text)

JavaScript Code Example

import OpenAI from "openai";

// Get your CometAPI key from https://api.cometapi.com/console/token, and paste it here
const COMETAPI_KEY = process.env.COMETAPI_KEY || "<YOUR_COMETAPI_KEY>";
const BASE_URL = "https://api.cometapi.com/v1";

const client = new OpenAI({
    apiKey: COMETAPI_KEY,
    baseURL: BASE_URL,
});

async function main() {
    const response = await client.responses.create({
        model: "gpt-5.4-pro-2026-03-05",
        input: "How much gold would it take to coat the Statue of Liberty in a 1mm layer?",
        reasoning: {
            effort: "high",
        },
    });

    console.log(response.output_text);
}

main();

Cรกc phiรชn bแบฃn cแปงa GPT-5.4 pro

Lรฝ do GPT-5.4 pro cรณ nhiแปu snapshot cรณ thแปƒ bao gแป“m cรกc yแบฟu tแป‘ tiแปm nฤƒng nhฦฐ: sแปฑ thay ฤ‘แป•i ฤ‘แบงu ra sau cรกc bแบฃn cแบญp nhแบญt cแบงn cรกc snapshot cลฉ ฤ‘แปƒ ฤ‘แบฃm bแบฃo tรญnh nhแบฅt quรกn, cung cแบฅp cho nhร  phรกt triแปƒn thแปi gian chuyแปƒn tiแบฟp ฤ‘แปƒ thรญch แปฉng vร  di chuyแปƒn, cลฉng nhฦฐ cรกc snapshot khรกc nhau tฦฐฦกng แปฉng vแป›i cรกc endpoint toร n cแบงu hoแบทc khu vแปฑc nhแบฑm tแป‘i ฦฐu hรณa trแบฃi nghiแป‡m ngฦฐแปi dรนng. ฤแปƒ biแบฟt chi tiแบฟt vแป sแปฑ khรกc biแป‡t giแปฏa cรกc phiรชn bแบฃn, vui lรฒng tham khแบฃo tร i liแป‡u chรญnh thแปฉc.

Model iddescriptionAvailabilityRequest
gpt-5.4-pro-2026-03-05Recommend, Pointing to the latest modelโœ…Responses
gpt-5.4-proOfficial Previewโœ…Responses