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openai/o4-mini

openai/o4-mini

Release date: 2025-04-17

200,000 context · $1.10/M input tokens · $4.40/M output tokens

OpenAI o4-mini is a compact reasoning model in the o-series, optimized for fast, cost-efficient performance while retaining strong multimodal and agentic capabilities. It supports tool use and demonstrates competitive reasoning...

Pricing

Pay-per-use

No upfront costs, pay only for what you use

Input$1.10 / M Tokens
Output$4.40 / M Tokens
Cache Read$0.28 / M Tokens

Try the model

openai/o4-mini
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API Usage

Use the following code examples to integrate with our API:

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/o4-mini',
    messages: [{ role: 'user', content: 'Hello!' }],
  });
  console.log(response.choices[0]?.message?.content ?? '');
} catch (error) {
  console.error('LLM request failed:', error);
  process.exitCode = 1;
}

Model Introduction

Openai o4-mini

openai o4-mini


Why It Looks Great

  • Large Language Model architecture for efficient processing
  • 200000 context window for long document handling
  • Competitive pricing at $1.2/$4.8 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$1.2
Output$4.8

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/o4-mini


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/o4-mini",
    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/o4-mini",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Notes

  • Model: openai/o4-mini
  • 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/o4-mini

o4 Mini API

openai/o4-mini

OpenAI o4-mini is a compact reasoning model in the o-series, optimized for fast, cost-efficient performance while retaining strong multimodal and agentic capabilities. It supports tool use and demonstrates competitive reasoning...

Input

$1.1 /M

Output

$4.4 /M

Context

200K

Max Output

100K

Vision

Supported

Tool Use

Supported

Try o4 Mini on WaveSpeedAI

Access o4 Mini through our unified API — OpenAI-compatible, no cold starts, transparent pricing.

Frequently Asked Questions about o4 Mini

How much does o4 Mini cost via the API?+

Pricing on WaveSpeedAI: $1.10 per million input tokens and $4.40 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 o4 Mini?+

o4 Mini supports up to 200K tokens of context with up to 100K tokens of output per request.

Is o4 Mini OpenAI-compatible?+

WaveSpeedAI exposes o4 Mini at https://llm.wavespeed.ai/v1 through the OpenAI-compatible Chat Completions interface. Most OpenAI SDK clients work by changing the base URL and API key; optional fields depend on the selected model.

How do I get started with o4 Mini?+

Sign in to WaveSpeedAI, create an API key in Access Keys, then send a request to https://llm.wavespeed.ai/v1/chat/completions with the model id shown above. Check the current model catalog for availability, capabilities, and pricing.

Related LLM APIs

OpenAI o4 Mini | Compact Multimodal Reasoning API | WaveSpeedAI