NVIDIA
Llama 3.3 Nemotron Super 49B
nvidia/llama-3.3-nemotron-super-49b
Llama-3.3-Nemotron-Super-49B-v1.5 is a 49B-parameter reasoning and chat model derived from Meta Llama-3.3-70B-Instruct, post-trained for agentic tasks such as RAG and tool calling.
Pricing
| Input | $0.1per 1M tokens |
|---|---|
| Output | $0.32per 1M tokens |
Specifications
| Context window | 131Ktokens |
|---|---|
| Max output | 66Ktokens |
| Provider | NVIDIA |
| Capabilities | Reasoning · Function calling |
| Input types | text |
Use Llama 3.3 Nemotron Super 49B
Point your existing OpenAI SDK at xKiro and pass nvidia/llama-3.3-nemotron-super-49b as the model. Nothing else in your code changes.
from openai import OpenAI
client = OpenAI(
base_url="https://api.xkiro.com/v1",
api_key="YOUR_XKIRO_KEY",
)
response = client.chat.completions.create(
model="nvidia/llama-3.3-nemotron-super-49b",
messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)Supported parameters
max_tokens · temperature · top_p · stop · frequency_penalty · presence_penalty · seed · stream · tools · tool_choice · response_format · structured_outputs · reasoning · include_reasoning
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Call Llama 3.3 Nemotron Super 49B through the same endpoints you already use.
Get an API key