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Llama 3.2 NV RerankQA 1B v2

llama-3.2-nv-rerankqa-1b-v2

Researched 137d ago

Last refreshed 2026-05-01. Next refresh: weekly.

Llama 3.2 NV RerankQA 1B v2 is worth evaluating for general LLM work when its provider route and context window match the workload.

Decision context: Coding task fit, 1 tracked provider route, and research from 2026-01-01.

Use it for

  • Teams evaluating general LLM work
  • Workloads that can use a 4K context window
  • Buyers comparing 1 tracked provider route

Do not use it for

  • Vision or document-understanding workloads
  • Strict JSON or tool-calling flows

Cheapest output

-

NVIDIA NIM per 1M tokens

Provider routes

1

Tracked API hosts

Quality / dollar

Unknown

No task benchmark coverage yet

Freshness

2026-01-01

Researched 137d ago

stale

Top use-case fit

No primary decision-task fit is mapped for this model yet.

Provider price ladder

ProviderInput / 1MOutput / 1MRoute
NVIDIA NIM--
ServerlessPartial

Benchmark peer barsfor Coding

No task-mapped benchmark peers are available for this model yet.

Migration checks

No linked migration route is available for this model yet.

About

NVIDIA reranking model for search result re-ranking, based on Llama 3.2.

Llama 3.2 NV RerankQA 1B v2 has a 4K-token context window.

Capabilities

No model capability flags are currently sourced.

Rankings

Specifications

FamilyNV-Embed
Released2025-03-01
Parameters1B
Context4K
Architectureencoder
Specializationranking
Trainingpretrained

Created by

Accelerated AI for enterprise solutions

Santa Clara, California, United States
Founded 2015
Website

Providers(1)