nvidia/llama-3.3-nemotron-super-49b-v1.5
發布時間: 2025-10-10
131,072 context · $0.10/M input tokens · $0.40/M output tokens
Llama-3.3-Nemotron-Super-49B-v1.5 is a 49B-parameter, English-centric reasoning/chat model derived from Meta’s Llama-3.3-70B-Instruct with a 128K context. It’s post-trained for agentic workflows (RAG, tool calling) via SFT across math, code, science, and...
按用量付費
無需預付費用，僅按實際使用量付費
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="nvidia/llama-3.3-nemotron-super-49b-v1.5",
messages=[
{"role": "user", "content": "Hello!"}
]
)
print(response.choices[0].message.content)nvidia llama-3.3-nemotron-super-49b-v1.5
| Specification | Value |
|---|---|
| Provider | Nvidia |
| Model Type | Large Language Model (LLM) |
| Architecture | N/A |
| Context Window | 131072 tokens |
| Max Output | 4096 tokens |
| Input | Text |
| Output | Text |
| Vision | Supported |
| Function Calling | Supported |
| Token Type | Cost per Million Tokens |
|---|---|
| Input | $0.1 |
| Output | $0.4 |
Base URL: https://llm.wavespeed.ai/v1 API Endpoint: chat/completions Model ID: nvidia/llama-3.3-nemotron-super-49b-v1.5
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://llm.wavespeed.ai/v1"
)
response = client.chat.completions.create(
model="nvidia/llama-3.3-nemotron-super-49b-v1.5",
messages=[
{"role": "user", "content": "Hello!"}
]
)
print(response.choices[0].message.content)curl https://llm.wavespeed.ai/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
"model": "nvidia/llama-3.3-nemotron-super-49b-v1.5",
"messages": [{"role": "user", "content": "Hello!"}]
}'nvidia/llama-3.3-nemotron-super-49b-v1.5
Llama-3.3-Nemotron-Super-49B-v1.5 is a 49B-parameter, English-centric reasoning/chat model derived from Meta’s Llama-3.3-70B-Instruct with a 128K context. It’s post-trained for agentic workflows (RAG, tool calling) via SFT across math, code, science, and...
輸入
$0.1 /M
輸出
$0.4 /M
上下文
131K
最大輸出
4K
工具調用
支援
透過我們的統一 API 接入 Llama 3.3 Nemotron Super 49b V1.5 — 相容 OpenAI、無冷啟動、透明計費。
WaveSpeedAI 定價:輸入每百萬 token $0.10,輸出每百萬 token $0.40。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 Nemotron Super 49b V1.5 每次請求最多支援 131K 上下文 token,輸出最多 4K token。
是的。WaveSpeedAI 透過 https://llm.wavespeed.ai/v1 的 OpenAI 相容端點提供 Llama 3.3 Nemotron Super 49b V1.5。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。
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 Nemotron Super 49b V1.5。