All models
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 window131Ktokens
Max output66Ktokens
ProviderNVIDIA
CapabilitiesReasoning · Function calling
Input typestext

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

Related models

Call Llama 3.3 Nemotron Super 49B through the same endpoints you already use.

Get an API key