Llama 3.3 Nemotron Super 49b V1
Llama-3.3-Nemotron-Super-49B-v1 is a large language model (LLM) optimized for advanced reasoning, conversational interactions, retrieval-augmented generation (RAG), and tool-calling tasks. Derived from Meta's Llama-3.3-70B-Instruct, it employs a Neural Architecture Search (NAS) approach, significantly enhancing efficiency and reducing memory requirements. This allows the model to support a context length of up to 128K tokens and fit efficiently on single high-performance GPUs, such as NVIDIA H200. Note: you must include `detailed thinking on` in the system prompt to enable reasoning. Please see [Usage Recommendations](https://huggingface.co/nvidia/Llama-3_1-Nemotron-Ultra-253B-v1#quick-start-and-usage-recommendations) for more.
Pricing
💱 匯率 USD/NTD = 32.34 · 不含稅 · 更新於 2026/07/22
Technical specifications
Quick Start
Use Llama 3.3 Nemotron Super 49b V1 via BazaarLink API — just change the base_url:
from openai import OpenAI
client = OpenAI(
base_url="https://bazaarlink.ai/api/v1",
api_key="sk-bl-YOUR_API_KEY",
)
response = client.chat.completions.create(
model="llama-3.3-nemotron-super-49b-v1",
messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://bazaarlink.ai/api/v1",
apiKey: "sk-bl-YOUR_API_KEY",
});
const response = await client.chat.completions.create({
model: "llama-3.3-nemotron-super-49b-v1",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(response.choices[0].message.content);Why use Llama 3.3 Nemotron Super 49b V1 via BazaarLink?
- ✓USD billing (TWD-quoted) + unified invoices — no foreign credit card needed for Taiwan teams
- ✓OpenAI-compatible API — zero code changes required
- ✓Automatic failover — multi-provider redundancy for the same model
- ✓Chinese-language support — local team, instant help
Frequently Asked Questions
What is Llama 3.3 Nemotron Super 49b V1?
Llama-3.3-Nemotron-Super-49B-v1 is a large language model (LLM) optimized for advanced reasoning, conversational interactions, retrieval-augmented generation (RAG), and tool-calling tasks. Derived from Meta's Llama-3.3-70B-Instruct, it employs a Neural Architecture Search (NAS) approach, significantly enhancing efficiency and reducing memory requirements. This allows the model to support a context length of up to 128K tokens and fit efficiently on single high-performance GPUs, such as NVIDIA H200. Note: you must include `detailed thinking on` in the system prompt to enable reasoning. Please see [Usage Recommendations](https://huggingface.co/nvidia/Llama-3_1-Nemotron-Ultra-253B-v1#quick-start-and-usage-recommendations) for more.
How much does the Llama 3.3 Nemotron Super 49b V1 API cost?
Llama 3.3 Nemotron Super 49b V1 pricing is available on this page. BazaarLink bills in TWD with no additional markup over the provider's list price.
How do I use Llama 3.3 Nemotron Super 49b V1 with the OpenAI SDK?
Set base_url to "https://bazaarlink.ai/api/v1" and use model ID "llama-3.3-nemotron-super-49b-v1". All OpenAI SDK methods (chat.completions, embeddings, streaming) work without code changes.
What is the context window for Llama 3.3 Nemotron Super 49b V1?
Llama 3.3 Nemotron Super 49b V1 supports a context window of 131,072 tokens.
Is Llama 3.3 Nemotron Super 49b V1 available for free?
Llama 3.3 Nemotron Super 49b V1 is a paid model. BazaarLink offers free trial credits on registration so you can test it without a credit card.