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openai/gpt-5.3-chat

openai/gpt-5.3-chat

128,000 context · $1.75/M input tokens · $14.00/M output tokens

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.

Pricing

Pay-per-use

No upfront costs, pay only for what you use

Input$1.75 / M Tokens
Output$14.00 / M Tokens

API Usage

Use the following code examples to integrate with our API:

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)

Model Introduction

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

SpecificationValue
ProviderOpenai
Model TypeLarge Language Model (LLM)
ArchitectureN/A
Context Window128000 tokens
Max Output16384 tokens
InputText
OutputText
VisionSupported
Function CallingSupported

Pricing

Token TypeCost per Million Tokens
Input$1.7
Output$14.0

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-5.3-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

Info

Provideropenai
Typellm

Supported Functionality

Input
TextImage
Output
Text
Context128,000
Max Output16,384
Vision✓ Supported
Function Calling✓ Supported

API Access Guide

Base URLhttps://llm.wavespeed.ai/v1
API Endpointchat/completions
Model IDopenai/gpt-5.3-chat

GPT 5.3 Chat API

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 more accurate answers with better contextualization and significantly reduces unnecessary refusals, caveats, and overly cautious phrasing that can interrupt conversational flow.

Input

$1.75 /M

Output

$14 /M

Context

128K

Max Output

16K

Vision

Supported

Tool Use

Supported

Try GPT 5.3 Chat on WaveSpeedAI

Access GPT 5.3 Chat through our unified API — OpenAI-compatible, no cold starts, transparent pricing.

Open Playground

Frequently Asked Questions about GPT 5.3 Chat

How much does GPT 5.3 Chat cost via the API?+

Pricing on WaveSpeedAI: $1.75 per million input tokens and $14.00 per million output tokens. Prompt caching and batch processing are billed separately and reduce effective cost on long, repetitive workloads.

What is the context window of GPT 5.3 Chat?+

GPT 5.3 Chat supports up to 128K tokens of context with up to 16K tokens of output per request.

Is GPT 5.3 Chat OpenAI-compatible?+

Yes. WaveSpeedAI exposes GPT 5.3 Chat through an OpenAI-compatible endpoint at https://llm.wavespeed.ai/v1. Point the official OpenAI SDK at this base URL with your WaveSpeedAI API key — no other code changes required.

How do I get started with GPT 5.3 Chat?+

Sign in to WaveSpeedAI, create an API key in Access Keys, then send a request to https://llm.wavespeed.ai/v1/chat/completions with model id set to the value shown above. New accounts receive free credits to evaluate GPT 5.3 Chat before paying per token.

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