Llama 3.2 NV EmbedQA 1B v1

Released
2024-10-08
Last refreshed
2026-10-21
Status
Researched 4d ago
Open weightsCommercial use: restricted
NVIDIA AI releases · 27 in the last 12 months · this family litChangelog →
Specifications
Family
NV-Embed
Released
2024-10-08
Context
512
Parameters
1B
Architecture
Encoder Only
Specialization
embedding
Openness
Open weights
Weights
Unknown
Code
Unknown
Training
Pretrained
Created by
NVIDIA AI

Accelerated AI for enterprise solutions

Santa Clara, California, United States
Founded 2015
Website
Pricing

No tracked provider pricing is available yet.

Providers(1)
NVIDIA NIM

About

NVIDIA multilingual embedding model for question-answering retrieval, based on Llama 3.2. Outputs 2048-dimensional embeddings and supports 26 languages with 512-token context. Superseded by v2, which extends context to 4K tokens.

Providers(1)

Compare API pricing across 1 tracked provider route for input and output tokens, batch, and cached reads when available.

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

Available via routers & gateways(1)

NVIDIA LLM Router Blueprint

Router

NVIDIA's open-source AI blueprint for LLM routing that selects the optimal model per prompt via intent classification or neural auto-routing; being deprecated 2026-06-20.

Free OSSNVIDIA NIM

Capabilities

No model capability flags are currently sourced.

Benchmark peer barsfor Coding

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Migration checks

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