Llama Nemotron Embed VL 1B v2 is NVIDIA's multimodal embedding model for question-answering retrieval over documents. It pairs a Llama 3.2 1B language model with a SigLIP2 image encoder (about 1.7B parameters total) and embeds text queries and document pages given as images, text or both, including tables, charts and infographics, as 2,048-dimensional vectors.
Modalities
In / out price
$0.0125 / $0.0125per 1M
Context
33K
Max output
–
Updated
Oct 22, 2026
Providers
1 routeCompare providers by price, privacy, and speed.
| Private | $0.0125 | $0.0125 | — | 33K | – | — | — |
Privacy
2 / 4Private routing
Private tier
- Anonymous
- Private
- TEE
- E2EE
Prompt and response content is not retained after the request. Request content is visible to the inference runtime while it is being processed. Learn more
Features
1Embeddings
Uptime
FAQ
Common questions about Llama Nemotron Embed VL 1B v2.