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GPT 5.5

Input:$4/M
Output:$24/M
Cache Read:$0.4/M
출시일:Apr 24, 2026

복잡한 코딩, 에이전트 기반 워크플로, 컴퓨터 활용, 데이터 분석 및 심층 연구를 위해 설계된 OpenAI의 가장 지능적이고 직관적인 플래그십 모델입니다. GPT-5.4와 같은 낮은 지연 시간으로 최첨단 수준의 지능을 제공하며, 더 높은 토큰 효율성으로 작업을 수행합니다. 까다로운 전문 및 엔터프라이즈 워크로드를 위한 최우선 선택 모델입니다.

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GPT 5.5의 Playground

GPT 5.5의 Playground를 탐색하세요 — 모델을 테스트하고 실시간으로 쿼리를 실행하는 대화형 환경입니다. 프롬프트를 시도하고, 매개변수를 조정하며, 즉시 반복하여 개발을 가속화하고 사용 사례를 검증하세요.

Technical Specifications of GPT-5.5

ItemGPT-5.5
ProviderOpenAI
Model FamilyGPT-5 series
Release DateApril 23, 2026
Input TypesText, Images
Output TypesText
Tool UseYes (web browsing, coding tools, computer-use workflows)
Context WindowNot officially disclosed
Max Output TokensNot officially disclosed
Primary StrengthsAgentic coding, computer use, knowledge work, scientific research
AvailabilityChatGPT Plus / Pro / Business / Enterprise, Codex
API AccessAnnounced as coming soon after release

What is GPT-5.5?

GPT-5.5 is OpenAI’s latest flagship productivity-focused model positioned as a “new class of intelligence for real work.” Rather than only answering prompts, GPT-5.5 is optimized to complete messy multi-step tasks with less supervision. It is designed to plan, use tools, check outputs, and persist through ambiguity better than prior GPT-5.4 generation systems.

OpenAI positions GPT-5.5 as a major step toward practical AI coworkers that can finish real tasks instead of only chatting.

Main Features of GPT-5.5

  • Stronger autonomous task execution across multi-step workflows
  • State-of-the-art coding performance in terminal and repo-scale tasks
  • Better spreadsheet, document, and business workflow handling
  • Improved computer-use ability: navigating apps, interfaces, files
  • More token-efficient than GPT-5.4 on many tasks
  • Maintains GPT-5.4-class serving latency while increasing capability

Benchmark Performance of GPT-5.5

BenchmarkGPT-5.5GPT-5.4
Terminal-Bench 2.082.7%75.1%
Expert-SWE (internal)73.1%68.5%
GDPval84.9%83.0%
OSWorld-Verified78.7%75.0%
Toolathlon55.6%54.6%
BrowseComp84.4%82.7%
FrontierMath Tier 435.4%27.1%

These numbers suggest GPT-5.5 improves coding, tool use, browsing, and advanced reasoning over GPT-5.4.

GPT-5.5 vs Other Models

ModelBest ForRelative Position
GPT-5.5Real-world workflows + coding + toolsMost balanced flagship
GPT-5.4Prior flagshipLower benchmark scores
Claude Opus 4.7Writing / reasoning competitorTrails on some coding evals
Gemini 3.1 ProMultimodal ecosystem tasksTrails on several OpenAI evals

Limitations of GPT-5.5

  • Context window not publicly specified at launch
  • API access initially delayed for safety rollout
  • Can still require human review for critical legal/medical outputs
  • Premium availability tiers first
  • Some benchmark claims are vendor-reported

Best Use Cases

  1. Large codebase debugging and refactors
  2. Research + source gathering workflows
  3. Spreadsheet analysis and business planning
  4. Multi-tool automation tasks
  5. Internal knowledge work and documentation generation
  6. Scientific exploration and structured analysis

How to access and use GPT-5.5 API

Step 1: Sign Up for API Key

Log in to cometapi.com. If you are not our user yet, please register first. Sign into your CometAPI console. Get the access credential API key of the interface. Click “Add Token” at the API token in the personal center, get the token key: sk-xxxxx and submit.

Step 2: Send Requests to GPT-5.5 API

Select the “gpt-5.5” 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. Where to call it:   response format.

Insert your question or request into the content field—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.

자주 묻는 질문

GPT 5.5 가격

[모델명]의 경쟁력 있는 가격을 살펴보세요. 다양한 예산과 사용 요구에 맞게 설계되었습니다. 유연한 요금제로 사용한 만큼만 지불하므로 요구사항이 증가함에 따라 쉽게 확장할 수 있습니다. [모델명]이 비용을 관리 가능한 수준으로 유지하면서 프로젝트를 어떻게 향상시킬 수 있는지 알아보세요.

TierConditionComet Price (USD / M Tokens)Official Price (USD / M Tokens)Discount
short_contextlen <= 272000
Input:$4.0000/M
Output:$24.0000/M
Cache Read:$0.4000/M
Input:$5.0000/M
Output:$30.0000/M
Cache Read:$0.5000/M
-20%
long_context-
Input:$8.0000/M
Output:$36.0000/M
Cache Read:$0.8000/M
Input:$10.0000/M
Output:$45.0000/M
Cache Read:$1.0000/M
-20%

GPT 5.5의 샘플 코드 및 API

[모델 이름]의 포괄적인 샘플 코드와 API 리소스에 액세스하여 통합 프로세스를 간소화하세요. 자세한 문서는 단계별 가이드를 제공하여 프로젝트에서 [모델 이름]의 모든 잠재력을 활용할 수 있도록 돕습니다.

curl https://api.cometapi.com/v1/responses \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $COMETAPI_KEY" \
  -d '{
    "model": "gpt-5.5",
    "input": "Tell me a three sentence bedtime story about a unicorn."
  }'

cURL Code Example

curl https://api.cometapi.com/v1/responses \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $COMETAPI_KEY" \
  -d '{
    "model": "gpt-5.5",
    "input": "Tell me a three sentence bedtime story about a unicorn."
  }'

Python Code Example

from openai import OpenAI
import os

# Get your CometAPI key from https://www.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-5.5",
    input="Tell me a three sentence bedtime story about a unicorn.",
)

print(response.output_text)

JavaScript Code Example

import OpenAI from "openai";

// Get your CometAPI key from https://www.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,
});

const response = await client.responses.create({
  model: "gpt-5.5",
  input: "Tell me a three sentence bedtime story about a unicorn.",
});

console.log(response.output_text);

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