Claude 3 Haiku | Anthropic Fastest LLM API

Name: Claude 3 Haiku API
Brand: anthropic
Price: 0.25 USD
Availability: InStock

anthropic/claude-3-haiku

發布時間: 2024-03-13

200,000 context · $0.25/M input tokens · $1.25/M output tokens

Claude 3 Haiku is Anthropic's fastest and most compact model for near-instant responsiveness. Quick and accurate targeted performance. See the launch announcement and benchmark results here #multimodal

定價

按用量付費

無需預付費用，僅按實際使用量付費

輸入$0.25 / M Tokens

輸出$1.25 / M Tokens

Cache Read$0.03 / M Tokens

Cache Write$0.30 / M Tokens

試用模型

anthropic/claude-3-haiku

線上

嗨！我是樂於助人的 AI 助理。有什麼可以幫你的嗎？

準備在本機編碼 Agent 中使用這個模型嗎？Agent 設定

API 使用

使用以下程式碼範例整合我們的 API：

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["WAVESPEED_API_KEY"],
    base_url="https://llm.wavespeed.ai/v1",
    timeout=120.0,
    max_retries=2,
)

try:
    response = client.chat.completions.create(
        model="anthropic/claude-3-haiku",
        messages=[{"role": "user", "content": "Hello!"}],
    )
    print(response.choices[0].message.content or "")
except Exception as exc:
    raise SystemExit(f"LLM request failed: {exc}") from exc

模型介紹

Anthropic claude-3-haiku

anthropic claude-3-haiku

Why It Looks Great

Large Language Model architecture for efficient processing
200000 context window for long document handling
Competitive pricing at $0.3/$1.4 per million tokens

Key Features

Context Window: 200000 tokens
Max Output: 4096 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	4096 tokens
Input	Text
Output	Text
Vision	Supported
Function Calling	Supported

Pricing

Token Type	Cost per Million Tokens
Input	$0.3
Output	$1.4

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-3-haiku

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-3-haiku",
    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-3-haiku",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Notes

Model: anthropic/claude-3-haiku
Provider: Anthropic

資訊

提供商anthropic

類型llm

支援功能

輸入

文字影像

輸出

文字

上下文200,000

最大輸出4,096

視覺✓ 支援

函式呼叫✓ 支援

API 存取指南

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

API 端點chat/completions

Model IDanthropic/claude-3-haiku

關於 Claude 3 Haiku 的常見問題

Claude 3 Haiku API 多少錢?+

WaveSpeedAI 定價:輸入每百萬 token $0.25,輸出每百萬 token $1.25。Prompt 快取與批次處理分別計費,可顯著降低長上下文、高重複任務的實際成本。

Claude 3 Haiku 的上下文視窗有多大?+

Claude 3 Haiku 每次請求最多支援 200K 上下文 token,輸出最多 4K token。

Claude 3 Haiku 是否相容 OpenAI?+

WaveSpeedAI 透過 https://llm.wavespeed.ai/v1 的 OpenAI 相容 Chat Completions 介面提供 Claude 3 Haiku。大多數 OpenAI SDK 用戶端只需更換 base URL 和 API Key；選用欄位取決於具體模型。

如何開始使用 Claude 3 Haiku?+

登入 WaveSpeedAI，在 Access Keys 中建立 API Key，然後使用上方顯示的 model id 向 https://llm.wavespeed.ai/v1/chat/completions 發送請求。模型可用性、能力和價格請以目前模型目錄為準。

定價