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openai
openai/gpt-4

openai/gpt-4

8,191 context · $30.00/M input tokens · $60.00/M output tokens

OpenAI's flagship model, GPT-4 is a large-scale multimodal language model capable of solving difficult problems with greater accuracy than previous models due to its broader general knowledge and advanced reasoning...

Pricing

Pay-per-use

No upfront costs, pay only for what you use

Input$30.00 / M Tokens
Output$60.00 / M Tokens

Try the model

openai/gpt-4
Online
openai
Hi! I am a helpful AI assistant. What can I do for you?

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-4",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)

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

Model Introduction

Openai gpt-4

openai gpt-4


Why It Looks Great

  • Large Language Model architecture for efficient processing
  • 8191 context window for long document handling
  • Competitive pricing at $33.0/$66.0 per million tokens

Key Features

  • Context Window: 8191 tokens
  • Max Output: 4096 tokens
  • Vision: Supported
  • Function Calling: Supported

Specifications

SpecificationValue
ProviderOpenai
Model TypeLarge Language Model (LLM)
ArchitectureN/A
Context Window8191 tokens
Max Output4096 tokens
InputText
OutputText
VisionSupported
Function CallingSupported

Pricing

Token TypeCost per Million Tokens
Input$33.0
Output$66.0

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-4


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-4",
    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-4",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Notes

  • Model: openai/gpt-4
  • Provider: Openai

Info

Provideropenai
Typellm

Supported Functionality

Input
Text
Output
Text
Context8,191
Max Output4,096
Vision-
Function Calling✓ Supported

API Access Guide

Base URLhttps://llm.wavespeed.ai/v1
API Endpointchat/completions
Model IDopenai/gpt-4

GPT 4 API

openai/gpt-4

OpenAI's flagship model, GPT-4 is a large-scale multimodal language model capable of solving difficult problems with greater accuracy than previous models due to its broader general knowledge and advanced reasoning...

Input

$30 /M

Output

$60 /M

Context

8K

Max Output

4K

Tool Use

Supported

Try GPT 4 on WaveSpeedAI

Access GPT 4 through our unified API — OpenAI-compatible, no cold starts, transparent pricing.

Frequently Asked Questions about GPT 4

How much does GPT 4 cost via the API?+

Pricing on WaveSpeedAI: $30.00 per million input tokens and $60.00 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 4?+

GPT 4 supports up to 8K tokens of context with up to 4K tokens of output per request.

Is GPT 4 OpenAI-compatible?+

Yes. WaveSpeedAI exposes GPT 4 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 4?+

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 4 before paying per token.

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