meta-llama/llama-guard-4-12b
163,840 context · $0.18/M input tokens · $0.18/M output tokens
Llama Guard 4 is a Llama 4 Scout-derived multimodal pretrained model, fine-tuned for content safety classification. Similar to previous versions, it can be used to classify content in both LLM...
定价
按量付费
无需预付费用，仅按实际使用量付费
试用模型
API 使用
使用以下代码示例接入我们的 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-guard-4-12b",
messages=[
{"role": "user", "content": "Hello!"}
]
)
print(response.choices[0].message.content)模型介绍
Meta-Llama llama-guard-4-12b
meta-llama llama-guard-4-12b
Why It Looks Great
- Large Language Model architecture for efficient processing
- 163840 context window for long document handling
- Competitive pricing at $0.2/$0.2 per million tokens
Key Features
- Context Window: 163840 tokens
- Max Output: 4096 tokens
- Vision: Supported
- Function Calling: Supported
Specifications
| Specification | Value |
|---|---|
| Provider | Meta-Llama |
| Model Type | Large Language Model (LLM) |
| Architecture | N/A |
| Context Window | 163840 tokens |
| Max Output | 4096 tokens |
| Input | Text |
| Output | Text |
| Vision | Supported |
| Function Calling | Supported |
Pricing
| Token Type | Cost per Million Tokens |
|---|---|
| Input | $0.2 |
| Output | $0.2 |
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-guard-4-12b
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-guard-4-12b",
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-guard-4-12b",
"messages": [{"role": "user", "content": "Hello!"}]
}'Notes
- Model: meta-llama/llama-guard-4-12b
- Provider: Meta-Llama
信息
支持功能
API 访问指南
Llama Guard 4 12b API
meta-llama/llama-guard-4-12b
Llama Guard 4 is a Llama 4 Scout-derived multimodal pretrained model, fine-tuned for content safety classification. Similar to previous versions, it can be used to classify content in both LLM...
输入
$0.18 /M
输出
$0.18 /M
上下文
164K
最大输出
4K
Vision
支持
在 WaveSpeedAI 试用 Llama Guard 4 12b
通过我们的统一 API 接入 Llama Guard 4 12b — 兼容 OpenAI、无冷启动、透明计费。
关于 Llama Guard 4 12b 的常见问题
Llama Guard 4 12b API 多少钱?+
WaveSpeedAI 定价:输入每百万 token $0.18,输出每百万 token $0.18。Prompt 缓存和批处理单独计费,可显著降低长上下文、高重复任务的实际成本。
Llama Guard 4 12b 的上下文窗口是多大?+
Llama Guard 4 12b 单次请求最多支持 164K 上下文 token,输出最多 4K token。
Llama Guard 4 12b 是否兼容 OpenAI?+
是的。WaveSpeedAI 通过 https://llm.wavespeed.ai/v1 的 OpenAI 兼容端点提供 Llama Guard 4 12b。把官方 OpenAI SDK 的 base URL 指向该地址,使用 WaveSpeedAI 的 API Key 即可,无需任何其他代码改动。
如何开始使用 Llama Guard 4 12b?+
登录 WaveSpeedAI,在 Access Keys 中生成 API Key,使用上方显示的 model id 向 https://llm.wavespeed.ai/v1/chat/completions 发送请求。新账户可获得免费额度,用于试用 Llama Guard 4 12b。