nemotron-3.5-rerank-8b

nvidia/nemotron-3_5-rerank-8b

NVIDIA Build Card

8B multimodal reranking model that scores how relevant a text or document-image passage is to a query.

Context Length

Not published

Input Pricing

$0.18 / 1M

Output Pricing

$0.18 / 1M

Recent Latency

No probes

Model Architecture & Limits

Canonical IDnvidia/nemotron-3_5-rerank-8b

Publisher / Originatornvidia

Model FamilyNemotron

ArchitectureTransformer (The released model contains a Pixtral-based vision encoder and a bidirectional Ministral3 language-model tower. Training proceeded in two stages. In the first stage, an 8B reranker checkpoint derived from the [Ministral-3-8B-Instruct-2512-BF16](https://huggingface.co/mistralai/Ministral-3-8B-Instruct-2512-BF16) backbone was trained on a blend of text-only datasets. In the second stage, the 8B reranker model initialized from the first-stage checkpoint was trained on image and combined image-text datasets.)

Context Window LimitNot published

Max Output TokensNot published

Endpoint Protocolnim-custom

Capabilities & Modal Surfaces

Chat Conversation✕ No

Tool / Function Calling✕ No

Reasoning / Thinking✕ No

Structured Output (JSON)✕ No

Vision / Multimodal✓ Yes

Audio Processing✕ No

License & Restrictions

**GOVERNING HOSTING TERMS:** Use of this trial service is governed by the [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf). Use of the model is governed by [OpenMDW License Agreement, version 1.1](https://gi

Commercial and research use permitted under governing model and API terms.