Berapa biaya Claude Haiku 4.5 melalui API?

Harga di WaveSpeedAI: $0.95 per juta token input dan $4.75 per juta token output. Prompt caching dan batch processing ditagih terpisah dan mengurangi biaya efektif pada beban kerja yang panjang dan berulang.

Berapa context window Claude Haiku 4.5?

Claude Haiku 4.5 mendukung hingga 200K token konteks dengan hingga 64K token output per permintaan.

Apakah Claude Haiku 4.5 kompatibel dengan OpenAI?

WaveSpeedAI menyediakan Claude Haiku 4.5 di https://llm.wavespeed.ai/v1 melalui antarmuka Chat Completions yang kompatibel dengan OpenAI. Sebagian besar klien OpenAI SDK cukup mengganti base URL dan API key; field opsional bergantung pada model.

Bagaimana memulai dengan Claude Haiku 4.5?

Masuk ke WaveSpeedAI, buat API key di Access Keys, lalu kirim permintaan ke https://llm.wavespeed.ai/v1/chat/completions dengan model id yang ditampilkan di atas. Lihat katalog model terbaru untuk ketersediaan, kemampuan, dan harga.

Claude Haiku 4.5 | Anthropic Fast & Efficient LLM API

Name: Claude Haiku 4.5 API
Brand: anthropic
Price: 0.95 USD
Availability: InStock

anthropic/claude-haiku-4.5

Tanggal rilis: 2025-10-16

200,000 context · $1.00/M input$0.95/M input · $5.00/M output$4.75/M output5% off

Claude Haiku 4.5 is Anthropic’s fastest and most efficient model, delivering near-frontier intelligence at a fraction of the cost and latency of larger Claude models. Matching Claude Sonnet 4’s performance...

Harga

Bayar sesuai pemakaian

Tanpa biaya di muka, bayar hanya sesuai penggunaan

Input

$1.00 / M Tokens$0.95 / M Tokens

Output

$5.00 / M Tokens$4.75 / M Tokens

Cache Read

$0.10 / M Tokens$0.10 / M Tokens

Cache Write

$1.25 / M Tokens$1.19 / M Tokens

Coba model

anthropic/claude-haiku-4.5

Online

Hai! Saya asisten AI yang siap membantu. Ada yang bisa saya bantu?

Siap memakai model ini di coding agent lokal?Setup agent

Penggunaan API

Gunakan contoh kode berikut untuk integrasi dengan API kami:

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: 'anthropic/claude-haiku-4.5',
    messages: [{ role: 'user', content: 'Hello!' }],
  });
  console.log(response.choices[0]?.message?.content ?? '');
} catch (error) {
  console.error('LLM request failed:', error);
  process.exitCode = 1;
}

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: 'anthropic/claude-haiku-4.5',
    messages: [{ role: 'user', content: 'Hello!' }],
  });
  console.log(response.choices[0]?.message?.content ?? '');
} catch (error) {
  console.error('LLM request failed:', error);
  process.exitCode = 1;
}

Pengenalan Model

Anthropic claude-haiku-4.5

anthropic claude-haiku-4.5

Why It Looks Great

Large Language Model architecture for efficient processing
200000 context window for long document handling
Competitive pricing at $1.1/$5.5 per million tokens

Key Features

Context Window: 200000 tokens
Max Output: 64000 tokens
Vision: Supported
Function Calling: Supported

Specifications

Specification	Value
Provider	Anthropic
Model Type	Large Language Model (LLM)
Architecture	N/A
Context Window	200000 tokens
Max Output	64000 tokens
Input	Text
Output	Text
Vision	Supported
Function Calling	Supported

Pricing

Token Type	Cost per Million Tokens
Input	$1.1
Output	$5.5

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: anthropic/claude-haiku-4.5

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="anthropic/claude-haiku-4.5",
    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": "anthropic/claude-haiku-4.5",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Notes

Model: anthropic/claude-haiku-4.5
Provider: Anthropic

Info

Penyediaanthropic

Tipellm

Fitur yang Didukung

Input

TeksGambar

Output

Teks

Konteks200,000

Output Maks64,000

Vision✓ Didukung

Function Calling✓ Didukung

Panduan Akses API

Base URLhttps://llm.wavespeed.ai/v1

API Endpointchat/completions

Model IDanthropic/claude-haiku-4.5