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NVIDIA: Llama Nemotron Embed VL 1B V2 (free)

Source description (English)

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...

Overview

Model specifications

Context
131,072 tokens
Maximum output
117,964 tokens
Architecture
text+image->embeddings
Tokenizer
Other
Knowledge cutoff
Not provided
Moderated
No
OPENROUTER

Complete pricing

Synchronized OpenRouter rates. Token prices are shown per one million tokens.

Input
Free
per 1M tokens
API

Quick start

Set OPENROUTER_API_KEY locally. Python requires requests; JavaScript runs in Node.js. Keep the key on the server.

API documentation

curl --fail-with-body https://openrouter.ai/api/v1/embeddings \
  -H "Authorization: Bearer $OPENROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"nvidia/llama-nemotron-embed-vl-1b-v2:free","input":"Your text here"}'
Capabilities

InputOutput

Input
textimage
Output
embeddings
API

Supported API parameters

Available providers

1 Provider

Checked: September 16, 2026

Live providers on OpenRouter

Provider availability, latency, throughput and routing can change continuously. Open the source page for current operational data.

OpenRouter

Nvidia

Not provided
Context
131K
Maximum output
118K
Input
Free
Output
Free
Cache read
Not provided
Cache write
Not provided
nvidia

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