Meta 模型

Llama 4 Maverick

Llama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model from Meta, built on a mixture-of-experts (MoE) architecture with 128 experts and 17 billion active parameters per forward...

阅读快速开始成本估算

MetaOpenRouter if availableCatalog

JSON modeLong contextStreamingLow costVision

输入价格$0.15 / 1M tokens

输出价格$0.6 / 1M tokens

上下文长度1M tokens

可用性Catalog

适用场景

open-model workflows
cost-sensitive long context
classification

OpenAI 兼容代码示例

保持 OpenAI SDK 调用方式不变，把 base_url 改为 NextModel，并使用模型目录 ID llama-4-maverick。

Python

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://api.nextmodel.app/v1"
)

resp = client.chat.completions.create(
    model="llama-4-maverick",
    messages=[{"role": "user", "content": "Hello from NextModel"}]
)

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

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FAQ

Meta: Llama 4 Maverick API 常见问题

Why include Llama 4 Maverick?

It gives teams an open-model candidate when comparing cost, context length, and provider optionality.