nvidia

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

nvidia/llama-nemotron-rerank-vl-1b-v2:free

Our take

AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.

OpenRouter’s catalog lists nvidia/llama-nemotron-rerank-vl-1b-v2:free as an NVIDIA multimodal reranking model with about 1.7 billion parameters. The catalog says it accepts text and image inputs and returns rerank output for assessing how document images and text match user queries, with a reported context length of 10,240 tokens and a design focus on vision RAG. These are catalog-reported capabilities, not measured results; this source pack did not include an independent model card or benchmark evidence.[1]

Strengths

Catalog-reported multimodal inputs: it can accept text and document images for relevance assessment.[1]
According to OpenRouter, it is designed for reranking within vision RAG workflows.[1]
The reported 10,240-token context length may help with long queries or candidate documents.[1]

Limitations

Only OpenRouter catalog evidence was supplied; no independent model card was available in this source pack.[1]
No benchmark results were provided, so real-world reranking quality remains unvalidated here.[1]
The supplied entry lists an empty supported-parameters field and does not provide license, hardware, or safety details.[1]

Where to use it

Consider evaluating it for vision RAG pipelines that rerank document images and text by relevance.[1]
It may be useful for ordering multimodal retrieval candidates; validate it on your own workload.[1]

Sources

[1] OpenRouter catalog · NVIDIA: Llama Nemotron Rerank VL 1B V2 (free)Sources checked: Nov 13, 2026

About this model

Description below is the original text supplied by OpenRouter, shown in the source language.

Llama Nemotron Rerank VL 1B V2 is a 1.7B multimodal reranking model from NVIDIA. It evaluates the relevance of document images and text against user queries, designed for vision RAG...

Specifications

Model ID: nvidia/llama-nemotron-rerank-vl-1b-v2:free
Canonical ID: nvidia/llama-nemotron-rerank-vl-1b-v2
Creator: nvidia
Added to OpenRouter: 09.06.2026
Context length: 10,240
Modality: text+image->rerank
Input modalities: text, image
Output modalities: rerank
Token pricing: No per-token price in the source snapshot — see OpenRouter for the billing unit
Knowledge cutoff: —
Expiration date: —

Tasks and capabilities

A grade appears only where the source supplies a matching measurement for that task, the model is active and the cohort holds at least 10 comparable models. The capability column lists facts the source declares — supported formats, reasoning and tool parameters — which are not measured quality.

Task	Grade	Source-declared capability
General quality	No measurement	—
Coding	No measurement	—
Agents	No measurement	—
Writing	No measurement	—
Reasoning	No measurement	—
Document analysis	No measurement	—
Vision	No measurement	input: image
Image generation	No measurement	—
Audio	No measurement	—
Video	No measurement	—
Embeddings	No measurement	—

Evaluations

No evaluations are supplied for this model.

How grades work

Each letter grade compares a model only against other models scored by the same source and metric in the current snapshot. S means the top 10%, A the next 20%, B the next 30%, C the rest. Models without a published measurement are shown as not rated — a supported format alone never implies measured quality.

S — S — top 10% of the cohort
A — A — next 20% of the cohort
B — B — next 30% of the cohort
C — C — below the B band

Providers

Optional live provider statistics from OpenRouter. Missing values are unknown, not zero.

Provider	Context length	Price in /1M	Price out /1M	Latency p50 (30m, s)	Throughput p50 (30m, tok/s)	Uptime (30m)
Nvidia	10,240	—	—	—	—	100%

Provider data retrieved: 13.11.2026

No published articles identify this model yet.