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openai
openai/gpt-5.5

openai/gpt-5.5

출시일: 2026-04-25

1,050,000 context · $5.00/M input tokens · $30.00/M output tokens

GPT-5.5 is OpenAI's frontier model released April 23, 2026, featuring a 1M+ token context window (922K input, 128K output) with text and image support. It scores 88.7% on SWE-bench Verified and 92.4% on MMLU with 60% fewer hallucinations than GPT-5.4, excelling at agentic coding, computer use, and deep research while matching GPT-5.4 per-token latency.

가격

사용량 기반 과금

선결제 없이 사용한 만큼만 지불

입력
272K $5.00 / M Tokens
> 272K $10.00 / M Tokens
출력
272K $30.00 / M Tokens
> 272K $45.00 / M Tokens
Cache Read
272K $0.50 / M Tokens
> 272K $1.00 / M Tokens

모델 사용해 보기

openai/gpt-5.5
온라인
openai
안녕하세요! 도움이 되는 AI 어시스턴트입니다. 무엇을 도와드릴까요?
이 모델을 로컬 coding agent에서 사용할 준비가 되었나요?Agent 설정

API 사용법

다음 코드 예시를 사용해 API와 연동하세요:

import OpenAI from 'openai';

if (!process.env.WAVESPEED_API_KEY) throw new Error('Set WAVESPEED_API_KEY');
const client = new OpenAI({
  apiKey: process.env.WAVESPEED_API_KEY,
  baseURL: 'https://llm.wavespeed.ai/v1',
  timeout: 120_000,
  maxRetries: 2,
});

try {
  const response = await client.chat.completions.create({
    model: 'openai/gpt-5.5',
    messages: [{ role: 'user', content: 'Hello!' }],
  });
  console.log(response.choices[0]?.message?.content ?? '');
} catch (error) {
  console.error('LLM request failed:', error);
  process.exitCode = 1;
}

모델 소개

OpenAI GPT-5.5

GPT-5.5 is OpenAI's frontier model released on April 23, 2026, designed for complex professional workloads including agentic coding, computer use, and deep research. Building on GPT-5.4, it delivers stronger reasoning, higher reliability with 60% fewer hallucinations, and improved token efficiency — matching GPT-5.4 per-token latency while performing at a significantly higher level of intelligence. It features a 1M+ token context window (922K input, 128K output) with support for text and image inputs.


Why It Looks Great

  • Frontier-class reasoning with 88.7% SWE-bench Verified and 92.4% MMLU scores
  • 1M token context window for large-scale reasoning, coding, and multimodal workflows
  • 60% fewer hallucinations compared to GPT-5.4 with improved token efficiency
  • Three variants: standard, Thinking (extended reasoning), and Pro (highest accuracy)
  • Same per-token latency as GPT-5.4 despite the intelligence leap

Key Features

  • Context Window: 1050000 tokens
  • Max Input: 922000 tokens
  • Max Output: 128000 tokens
  • Vision: Supported
  • Function Calling: Supported
  • Thinking Mode: Supported (low / medium / high / xhigh effort levels)
  • Variants: GPT-5.5, GPT-5.5 Thinking, GPT-5.5 Pro

Benchmarks

BenchmarkGPT-5.4GPT-5.5Claude Opus 4.7Gemini 3.1 Pro
SWE-bench Verified~74%88.7%87.6%80.6%
MMLU91.1%92.4%
Terminal-Bench 2.082.7%
Expert-SWE73.1%
GDPval (44 occupations)84.9%
OSWorld-Verified78.7%
Hallucination ratebaseline−60%

Specifications

SpecificationValue
ProviderOpenAI
Model TypeLarge Language Model (LLM)
ArchitectureTransformer (Frontier)
Context Window1050000 tokens
Max Input922000 tokens
Max Output128000 tokens
InputText, Image
OutputText
VisionSupported
Function CallingSupported
Thinking ModeSupported
Release DateApril 23, 2026

Note: GPT-5.5 is 2× GPT-5.4 at the token level, but uses significantly fewer tokens to complete the same tasks. Independent testing puts the net cost increase at roughly 20% once token efficiency is factored in.


How to Use

  1. Write your prompt — describe the task, provide context, and specify desired output format.
  2. Submit — the model processes your request and returns the response.

API Integration

Base URL: https://llm.wavespeed.ai/v1 API Endpoint: chat/completions Model ID: openai/gpt-5.5


API Usage

Python SDK

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://llm.wavespeed.ai/v1"
)

response = client.chat.completions.create(
    model="openai/gpt-5.5",
    messages=[{"role": "user", "content": "Hello!"}]
)

print(response.choices[0].message.content)

cURL

curl https://llm.wavespeed.ai/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "model": "openai/gpt-5.5",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

What's New vs GPT-5.4

AspectGPT-5.4GPT-5.5
SWE-bench Verified~74%88.7%
MMLU91.1%92.4%
Hallucination ratebaseline−60%
Context window1.05M1.05M (922K input)
API input price$2.50/M$5.00/M
API output price$15.00/M$30.00/M
Computer useImprovingProduction-grade
Multi-step tool chainsSingle-shot preferredFull autonomous loops
Token efficiencybaseline~40% fewer tokens on same tasks

정보

제공자openai
유형llm

지원 기능

입력
텍스트이미지
출력
텍스트
컨텍스트1,050,000
최대 출력128,000
Vision✓ 지원
Function Calling✓ 지원

API 접근 가이드

Base URLhttps://llm.wavespeed.ai/v1
API 엔드포인트chat/completions
모델 IDopenai/gpt-5.5

GPT 5.5 API

openai/gpt-5.5

GPT-5.5 is OpenAI's frontier model released April 23, 2026, featuring a 1M+ token context window (922K input, 128K output) with text and image support. It scores 88.7% on SWE-bench Verified and 92.4% on MMLU with 60% fewer hallucinations than GPT-5.4, excelling at agentic coding, computer use, and deep research while matching GPT-5.4 per-token latency.

입력

$5 /M

출력

$30 /M

컨텍스트

1050K

최대 출력

128K

Vision

지원

도구 사용

지원

WaveSpeedAI에서 GPT 5.5 체험

통합 API를 통해 GPT 5.5 액세스 — OpenAI 호환, 콜드 스타트 없음, 투명한 가격.

GPT 5.5에 대해 자주 묻는 질문

GPT 5.5 API 비용은 얼마인가요?+

WaveSpeedAI 가격: 입력 토큰 100만 개당 $5.00, 출력 토큰 100만 개당 $30.00. 프롬프트 캐싱과 배치 처리는 별도로 청구되며 긴 반복 작업에서 실질 비용을 줄여 줍니다.

GPT 5.5의 컨텍스트 윈도우는 얼마나 되나요?+

GPT 5.5은 요청당 최대 1050K 컨텍스트 토큰과 최대 128K 출력 토큰을 지원합니다.

GPT 5.5은 OpenAI 호환인가요?+

WaveSpeedAI는 https://llm.wavespeed.ai/v1의 OpenAI 호환 Chat Completions 인터페이스를 통해 GPT 5.5을 제공합니다. 대부분의 OpenAI SDK 클라이언트는 base URL과 API 키를 변경해 사용할 수 있으며, 선택 필드는 모델에 따라 다릅니다.

GPT 5.5을 어떻게 시작하나요?+

WaveSpeedAI에 로그인하고 Access Keys에서 API 키를 만든 다음, 위에 표시된 모델 ID로 https://llm.wavespeed.ai/v1/chat/completions에 요청을 보내세요. 제공 여부, 기능 및 가격은 최신 모델 카탈로그를 확인하세요.

관련 LLM API

GPT 5.5 API | WaveSpeedAI