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openai
openai/o3

openai/o3

200,000 context · $2.00/M input tokens · $8.00/M output tokens

o3 is a well-rounded and powerful model across domains. It sets a new standard for math, science, coding, and visual reasoning tasks. It also excels at technical writing and instruction-following....

Pricing

Pay-per-use

No upfront costs, pay only for what you use

Input$2.00 / M Tokens
Output$8.00 / 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/o3",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)

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

Model Introduction

Openai o3

openai o3


Why It Looks Great

  • Large Language Model architecture for efficient processing
  • 200000 context window for long document handling
  • Competitive pricing at $2.2/$8.8 per million tokens

Key Features

  • Context Window: 200000 tokens
  • Max Output: 100000 tokens
  • Vision: Supported
  • Function Calling: Supported

Specifications

SpecificationValue
ProviderOpenai
Model TypeLarge Language Model (LLM)
ArchitectureN/A
Context Window200000 tokens
Max Output100000 tokens
InputText
OutputText
VisionSupported
Function CallingSupported

Pricing

Token TypeCost per Million Tokens
Input$2.2
Output$8.8

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/o3


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/o3",
    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/o3",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Notes

  • Model: openai/o3
  • Provider: Openai

Info

Provideropenai
Typellm

Supported Functionality

Input
TextImage
Output
Text
Context200,000
Max Output100,000
Vision✓ Supported
Function Calling✓ Supported

API Access Guide

Base URLhttps://llm.wavespeed.ai/v1
API Endpointchat/completions
Model IDopenai/o3

o3 API

openai/o3

o3 is a well-rounded and powerful model across domains. It sets a new standard for math, science, coding, and visual reasoning tasks. It also excels at technical writing and instruction-following....

Input

$2 /M

Output

$8 /M

Context

200K

Max Output

100K

Vision

Supported

Tool Use

Supported

Try o3 on WaveSpeedAI

Access o3 through our unified API — OpenAI-compatible, no cold starts, transparent pricing.

Frequently Asked Questions about o3

How much does o3 cost via the API?+

Pricing on WaveSpeedAI: $2.00 per million input tokens and $8.00 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 o3?+

o3 supports up to 200K tokens of context with up to 100K tokens of output per request.

Is o3 OpenAI-compatible?+

Yes. WaveSpeedAI exposes o3 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 o3?+

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 o3 before paying per token.

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