nvidia

NVIDIA: Nemotron 3 Embed 1B (free)

nvidia/nemotron-3-embed-1b: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 presents nvidia/nemotron-3-embed-1b:free as an open NVIDIA text embedding model that accepts text and returns embeddings. The catalog description says it is optimized for high-throughput, low-latency retrieval and positions it for enterprise search, retrieval-augmented generation, code retrieval, and agentic retrieval. The listing reports a 32,768-token context window. These are source-reported characteristics rather than independently measured performance in this evidence pack.[1]

Strengths

Dedicated text-to-embeddings design, with text input and embedding output listed.[1]
A 32,768-token context window is reported.[1]
The catalog describes an optimization focus on high-throughput, low-latency retrieval.[1]

Limitations

Only catalog evidence was supplied; no independent model card was available in this source pack.[1]
No measured benchmark results were provided, and license, hardware, deployment, and safety details remain unknown.[1]
The listed output is embeddings only; it is not documented as a text-generation model.[1]

Where to use it

Potential fit for enterprise search systems that consume text embeddings.[1]
Candidate for retrieval-augmented generation pipelines, subject to task-specific validation.[1]
Candidate for code retrieval or agentic retrieval workflows requiring long input context.[1]

Sources

[1] OpenRouter catalog · NVIDIA: Nemotron 3 Embed 1B (free)Sources checked: Nov 13, 2026

About this model

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

NVIDIA Nemotron 3 Embed 1B is an open text embedding model from NVIDIA, optimized for high-throughput, low-latency retrieval. It is suited for enterprise search, RAG, code retrieval, and agentic retrieval...

Specifications

Model ID: nvidia/nemotron-3-embed-1b:free
Canonical ID: nvidia/nemotron-3-embed-1b-20260716
Creator: nvidia
Added to OpenRouter: 16.07.2026
Context length: 32,768
Modality: text->embeddings
Input modalities: text
Output modalities: embeddings
Token pricing: USD per 1M tokens: in $0 / out $0
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	—
Image generation	No measurement	—
Audio	No measurement	—
Video	No measurement	—
Embeddings	No measurement	output: embeddings

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	32,768	$0	$0	—	—	100%

Provider data retrieved: 13.11.2026

No published articles identify this model yet.