Llama 3.3 70B Instruct | Meta Open-Source LLM API

Name: Llama 3.3 70b Instruct API
Brand: meta-llama
Price: 0.1 USD
Availability: InStock

API 使用

使用以下程式碼範例整合我們的 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="meta-llama/llama-3.3-70b-instruct",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)

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

模型介紹

Meta-Llama llama-3.3-70b-instruct

meta-llama llama-3.3-70b-instruct

Why It Looks Great

Large Language Model architecture for efficient processing
131072 context window for long document handling
Competitive pricing at $0.1/$0.3 per million tokens

Key Features

Context Window: 131072 tokens
Max Output: 16384 tokens
Vision: Supported
Function Calling: Supported

Specifications

Specification	Value
Provider	Meta-Llama
Model Type	Large Language Model (LLM)
Architecture	N/A
Context Window	131072 tokens
Max Output	16384 tokens
Input	Text
Output	Text
Vision	Supported
Function Calling	Supported

Pricing

Token Type	Cost per Million Tokens
Input	$0.1
Output	$0.3

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: meta-llama/llama-3.3-70b-instruct

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="meta-llama/llama-3.3-70b-instruct",
    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": "meta-llama/llama-3.3-70b-instruct",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Notes

Model: meta-llama/llama-3.3-70b-instruct
Provider: Meta-Llama

關於 Llama 3.3 70b Instruct 的常見問題

Llama 3.3 70b Instruct API 多少錢?+

WaveSpeedAI 定價:輸入每百萬 token $0.10,輸出每百萬 token $0.32。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。

Llama 3.3 70b Instruct 的上下文視窗有多大?+

Llama 3.3 70b Instruct 每次請求最多支援 131K 上下文 token,輸出最多 16K token。

Llama 3.3 70b Instruct 是否相容 OpenAI?+

是的。WaveSpeedAI 透過 https://llm.wavespeed.ai/v1 的 OpenAI 相容端點提供 Llama 3.3 70b Instruct。將官方 OpenAI SDK 的 base URL 指向該位址,使用 WaveSpeedAI 的 API Key 即可,無需其他程式碼變更。

如何開始使用 Llama 3.3 70b Instruct?+

登入 WaveSpeedAI,在 Access Keys 建立 API Key,使用上方顯示的 model id 向 https://llm.wavespeed.ai/v1/chat/completions 發送請求。新帳號將獲得免費額度,用於試用 Llama 3.3 70b Instruct。

定價