Llama Nemotron Rerank VL 1B v2
Multimodal cross-encoder reranker that scores how relevant a document page (image, text, or both) is to a text query.
Specs
- Context
- —
- Max output
- —
- Input price
- —
- Output price
- —
- Released
- 2026-03-13
Context
- Not published
Pricing
- Not published
Modalities
- Input
- TextImage
- Output
- Score
API
- API types
Reasoning
- Not published
Info
- Status
- Active
- Released
- 2026-03-13
- Knowledge cutoff
- —
Features
- Not published
How to call
1 provider
nvidiamodel = nvidia/llama-nemotron-rerank-vl-1b-v2
rerank
POSThttps://ai.api.nvidia.com/v1/retrieval/nvidia/llama-nemotron-rerank-vl-1b-v2/reranking
JSON
Standard format
{
"id": "llama-nemotron-rerank-vl-1b-v2",
"object": "model",
"created": 1773360000,
"owned_by": "nvidia",
"name": "Llama Nemotron Rerank VL 1B v2",
"api": {
"types": [
"rerank"
]
},
"limits": {
"context": null,
"input": null,
"output": null
},
"modalities": {
"input": [
"text",
"image"
],
"output": [
"score"
]
},
"reasoning": {
"supported": null,
"efforts": []
},
"pricing": null,
"features": [],
"info": {
"status": "active",
"release_date": "2026-03-13",
"knowledge_cutoff": null,
"description": "Multimodal cross-encoder reranker that scores how relevant a document page (image, text, or both) is to a text query.",
"docs": "https://build.nvidia.com/nvidia/llama-nemotron-rerank-vl-1b-v2/modelcard",
"verified_at": "2026-10-11"
}
}Official sources
3