GPT-5.3 Chat | OpenAI Conversational LLM API

Name: GPT 5.3 Chat API
Brand: openai
Price: 1.75 USD
Availability: InStock

API 사용법

다음 코드 예시를 사용해 API와 연동하세요:

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["WAVESPEED_API_KEY"],
    base_url="https://llm.wavespeed.ai/v1",
    timeout=120.0,
    max_retries=2,
)

try:
    response = client.chat.completions.create(
        model="openai/gpt-5.3-chat",
        messages=[{"role": "user", "content": "Hello!"}],
    )
    print(response.choices[0].message.content or "")
except Exception as exc:
    raise SystemExit(f"LLM request failed: {exc}") from exc

모델 소개

Openai gpt-5.3-chat

GPT-5.3 Chat is an update to ChatGPT's most-used model that makes everyday conversations smoother, more useful, and more directly helpful. It delivers

GPT-5.3 Chat is an update to ChatGPT's most-used model that makes everyday conversations smoother, more useful, and more directly helpful. It delivers more accurate answers with better contextualization and significantly reduces unnecessary refusals, caveats, and overly cautious phrasing that can interrupt conversational flow.

Why It Looks Great

Large Language Model architecture for efficient processing
128000 context window for long document handling
Competitive pricing at $1.7/$14.0 per million tokens

Key Features

Context Window: 128000 tokens
Max Output: 16384 tokens
Vision: Supported
Function Calling: Supported

Specifications

Specification	Value
Provider	Openai
Model Type	Large Language Model (LLM)
Architecture	N/A
Context Window	128000 tokens
Max Output	16384 tokens
Input	Text
Output	Text
Vision	Supported
Function Calling	Supported

Pricing

Token Type	Cost per Million Tokens
Input	$1.7
Output	$14.0

How to Use

Write your prompt — describe the task, provide context, and specify desired output format.
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-5.3-chat

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-5.3-chat",
    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-5.3-chat",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Notes

Model: openai/gpt-5.3-chat
Provider: Openai

GPT 5.3 Chat API

openai/gpt-5.3-chat

GPT 5.3 Chat에 대해 자주 묻는 질문

GPT 5.3 Chat API 비용은 얼마인가요?+

WaveSpeedAI 가격: 입력 토큰 100만 개당 $1.75, 출력 토큰 100만 개당 $14.00. 프롬프트 캐싱과 배치 처리는 별도로 청구되며 긴 반복 작업에서 실질 비용을 줄여 줍니다.

GPT 5.3 Chat의 컨텍스트 윈도우는 얼마나 되나요?+

GPT 5.3 Chat은 요청당 최대 128K 컨텍스트 토큰과 최대 16K 출력 토큰을 지원합니다.

GPT 5.3 Chat은 OpenAI 호환인가요?+

WaveSpeedAI는 https://llm.wavespeed.ai/v1의 OpenAI 호환 Chat Completions 인터페이스를 통해 GPT 5.3 Chat을 제공합니다. 대부분의 OpenAI SDK 클라이언트는 base URL과 API 키를 변경해 사용할 수 있으며, 선택 필드는 모델에 따라 다릅니다.

GPT 5.3 Chat을 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.

가격

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