Deployment Brief

NVIDIA: Nemotron 3 Embed 1B (free)

NVIDIA: Nemotron 3 Embed 1B (free) is a cost-efficient model with standard context support, suited to code retrieval and repository search for enterprise teams.

Try NVIDIA: Nemotron 3 Embed 1B (free) with your team

Last reviewed: 2026-08-01

Nvidia

Stable

Context Window

32,768

Input / 1M

$0.00

Output / 1M

$0.00

What can you do with NVIDIA: Nemotron 3 Embed 1B (free)?

Practical ways teams can use NVIDIA: Nemotron 3 Embed 1B (free) inside governed AI workflows.

Search codebases with NVIDIA: Nemotron 3 Embed 1B (free)

Embed repositories, snippets, and technical docs so developers can find relevant implementation context with NVIDIA: Nemotron 3 Embed 1B (free).

Power coding assistants with NVIDIA: Nemotron 3 Embed 1B (free)

Retrieve related files, APIs, examples, and dependency context for governed developer workflows with NVIDIA: Nemotron 3 Embed 1B (free).

Index repositories with NVIDIA: Nemotron 3 Embed 1B (free)

Create searchable vectors for source files, documentation, issues, and engineering knowledge bases with NVIDIA: Nemotron 3 Embed 1B (free).

Deduplicate code knowledge with NVIDIA: Nemotron 3 Embed 1B (free)

Cluster similar snippets, docs, tickets, and examples for cleaner engineering support systems with NVIDIA: Nemotron 3 Embed 1B (free).

Rank technical evidence with NVIDIA: Nemotron 3 Embed 1B (free)

Surface relevant code, logs, docs, and tickets during incident and compliance reviews with NVIDIA: Nemotron 3 Embed 1B (free).

Measure code similarity with NVIDIA: Nemotron 3 Embed 1B (free)

Compare snippets, repositories, and technical records for recommendations or migration planning with NVIDIA: Nemotron 3 Embed 1B (free).

Why this model

NVIDIA: Nemotron 3 Embed 1B (free) is available in Remova as a standard context option with $0.00 per 1M tokens input pricing, $0.00 per 1M tokens output pricing, and text->embeddings modality support for enterprise AI operations.

NVIDIA: Nemotron 3 Embed 1B (free) offers standard context capacity for enterprise prompts and documents.
Current Remova pricing band is cost-efficient: $0.00 per 1M tokens input and $0.00 per 1M tokens output.
Best-fit workloads include: Code retrieval, Repository search, Coding assistant retrieval.
Route requests by policy tier so teams do not overuse capability.

At a glance

Model ID: nvidia/nemotron-3-embed-1b:free
Context Window: 32,768 tokens
Modality: text->embeddings
Input Modalities: text
Output Modalities: embeddings
Input Price: $0.00 per 1M tokens
Output Price: $0.00 per 1M tokens
Provider: Nvidia
Listing Date: 2026-07-16

Strengths

NVIDIA: Nemotron 3 Embed 1B (free) is suited for code retrieval.
Supports standard context for multi-step prompts and larger working sets.
Pricing profile is cost-efficient, enabling predictable workload routing decisions.
Can be paired with policy guardrails for safer deployment at scale.

Tradeoffs

Quality and latency should be benchmarked against your internal prompt set before broad rollout.
Standard context limits may require chunking or retrieval strategies for large documents.
Low-cost tiers can still underperform on high-consequence decisions without escalation paths.
Code retrieval systems need repository access controls, freshness checks, and relevance benchmarks.

Best for

NVIDIA: Nemotron 3 Embed 1B (free) for codebase retrieval across repositories, docs, issues, and technical records.
NVIDIA: Nemotron 3 Embed 1B (free) for repository search with access controls and relevance benchmarks.
NVIDIA: Nemotron 3 Embed 1B (free) for grounding coding assistants in approved repository context.
NVIDIA: Nemotron 3 Embed 1B (free) for surfacing relevant code, logs, and tickets during engineering reviews.

Rollout checklist

Define where NVIDIA: Nemotron 3 Embed 1B (free) is default vs. fallback in your routing policy.
Enable role-based access and policy checks before opening access broadly.
Set spend guardrails by team and monitor weekly token consumption.
Define escalation rules to premium models before launch.
Re-run quality and cost benchmarks monthly as newer releases appear.

Related models

Explore adjacent model profiles for routing and benchmarking decisions.

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Tuning notes

max_tokens

Set completion limits to avoid unpredictable long-output spend.

seed

Use this parameter only with tested defaults in production workflows.

temperature

Lower temperature for deterministic policy and compliance tasks.

top_p

Use tighter sampling for stable outputs in repeatable operations.

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What Could Go Wrong?

5 questions about how your company uses AI today. We'll show you the risks most companies miss until it's too late.

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A risk breakdown with the 3 things you should fix first.

Knowledge Hub

NVIDIA: Nemotron 3 Embed 1B (free) FAQs

Choose NVIDIA: Nemotron 3 Embed 1B (free) when the workload aligns with code retrieval, repository search, coding assistant retrieval and quality targets justify its pricing profile.

It depends on workload mix. Most organizations use routing policies so routine traffic stays on lower-cost tiers.

Validate quality on real internal prompts, token efficiency, latency, and policy compliance behavior.

Deploy This Model With Governance

Use policy controls, role-based access, and budget guardrails before enabling advanced model tiers at scale.

Try NVIDIA: Nemotron 3 Embed 1B (free) with your team