Nvidia: Llama Nemotron Embed 1B v2

Multilingual text embedding model for retrieval and question answering pipelines

Model lab: Nvidia
Model family: nemotron

Model resources

Hugging Face

Modalitiestext → text

Context window8,192

Maximum output2,048

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Quickstart

Use your Moduck API Key, set the API base URL to https://api.moduck.ai/v1, and set the model parameter to nvidia/llama-nemotron-embed-1b-v2.

import os
import requests

base_url = "https://api.moduck.ai/v1"
api_key = os.environ["MODUCK_API_KEY"]
model_id = "nvidia/llama-nemotron-embed-1b-v2"

response = requests.post(
    f"{base_url}/chat/completions",
    headers={
        "Authorization": f"Bearer {api_key}",
        "Content-Type": "application/json",
    },
    json={
        "model": model_id,
        "messages": [{"role": "user", "content": "Hello!"}],
        "stream": False,
    },
    timeout=60,
)
response.raise_for_status()
print(response.json())

Use the familiar OpenAI-style chat request format to make model integration easier.

Llama Nemotron Embed 1B v2 API Pricing

Price currently unavailable

Performance

Performance trends

Request throughput14.4 requests/minCurrent

Queue wait0.9 sCurrent

Completion time5.9 sCurrent

Request throughput

Current14.4 requests/min

Window average15.1 requests/min

Queue wait

Current0.9 s

Window average0.9 s

Completion time

Current5.9 s

Window average6.0 s

Tail completion time (P99)

Current12.4 s

Window average13.8 s

Retry rate

Current0.9%

Window average1.0%

Error rate

Current0.0%

Window average0.1%

Availability

Uptime100%At least one provider responded

Availability100%Requests actually served

Error rate0%Share of failed requests

Served requests, hour by hour

24 hours agoNow

Llama Nemotron Embed 1B v2 Compare models

Model	Input price	Output price	Context window	Capabilities
Llama Nemotron Embed 1B v2This page	Price currently unavailable	Price currently unavailable	8,192	Specialized model
Qwen3 Embedding 8B	USD 0.056 / 1M tokens	Not billed on output	32,768	Specialized model
BGE M3	USD 0.008 / 1M tokens	Not billed on output	8,192	Specialized model

Model specifications

Input: text
Output: text
Context window: 8,192
Maximum output: 2,048
Release date: 2025-10-16
Attachments: No
Reasoning: No
Tool calling: No
Temperature setting: No
Open weights: Yes

Frequently asked questions

What is Llama Nemotron Embed 1B v2 for?

Multilingual text embedding model for retrieval and question answering pipelines

What inputs and outputs does Llama Nemotron Embed 1B v2 support?

Recorded inputs: text; outputs: text.

How is Llama Nemotron Embed 1B v2 priced?

This page does not list a price for this model yet.

What specifications are recorded for Llama Nemotron Embed 1B v2?

Current model records list Context window 8,192 tokens; Maximum output 2,048 tokens.

What model parameter does the Quickstart use?

The example uses nvidia/llama-nemotron-embed-1b-v2. This value comes from the page identifier and is not confirmed as a callable Moduck public ID.

Can I call this model through the Moduck API now?

This page has no verified Moduck API call for this model. A Quickstart example or reserved ID does not establish access; check the models available to your account.