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Llama Nemotron Embed Vl 1b V2

The Llama Nemotron Embed VL 1B V2 embedding model is optimized for multimodal question-answering retrieval. The model can embed 'documents' in the form of image, text, or image and text combined. Documents can be retrieved given a user query in text form. The model supports images containing text, tables, charts, and infographics.

Pricing

Input Price
Free
/ 1M tokens
Output Price
Free
/ 1M tokens
Context Window
131K
tokens

💱 匯率 USD/NTD = 31.58 · 不含稅 · 更新於 2026/06/10

ProviderLnvidia
Released2026年2月
Model IDllama-nemotron-embed-vl-1b-v2

Technical specifications

Context window
131K tokens
Reasoning
Input
TextImage
Output
Not specified
!
此模型已下架 — API 呼叫會回傳 HTTP 410,但本頁面保留以利歷史查詢

Quick Start

Use Llama Nemotron Embed Vl 1b V2 via BazaarLink API — just change the base_url:

Python
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-nemotron-embed-vl-1b-v2",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)
TypeScript
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-nemotron-embed-vl-1b-v2",
  messages: [{ role: "user", content: "Hello!" }],
});
console.log(response.choices[0].message.content);

Why use Llama Nemotron Embed Vl 1b V2 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
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Frequently Asked Questions

What is Llama Nemotron Embed Vl 1b V2?

The Llama Nemotron Embed VL 1B V2 embedding model is optimized for multimodal question-answering retrieval. The model can embed 'documents' in the form of image, text, or image and text combined. Documents can be retrieved given a user query in text form. The model supports images containing text, tables, charts, and infographics.

How much does the Llama Nemotron Embed Vl 1b V2 API cost?

Llama Nemotron Embed Vl 1b V2 costs $0.0000 per 1K input tokens and $0.0000 per 1K output tokens when accessed through BazaarLink.

How do I use Llama Nemotron Embed Vl 1b V2 with the OpenAI SDK?

Set base_url to "https://bazaarlink.ai/api/v1" and use model ID "llama-nemotron-embed-vl-1b-v2". All OpenAI SDK methods (chat.completions, embeddings, streaming) work without code changes.

What is the context window for Llama Nemotron Embed Vl 1b V2?

Llama Nemotron Embed Vl 1b V2 supports a context window of 131,072 tokens.

Is Llama Nemotron Embed Vl 1b V2 available for free?

Yes — Llama Nemotron Embed Vl 1b V2 is available at no cost through BazaarLink's free tier. No credit card required.

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