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Nemotron 3 Embed 1B

NVIDIA's Nemotron 3 text embedding model for search and retrieval, 2048 dimensions.

Availableby NVIDIA
Use this model Compare
Input · 1M
€0.0448
Context
8K
Max output
-
Disclosed
4/10
01

Disclosures

1 yes3 no6 open
  1. 01
    Are prompts and outputs stored by SaaufAI?

    Whether this gateway keeps the content of requests or responses.

    Not specified
  2. 02
    May the upstream provider use data for model training?

    Based on the upstream provider's API terms for this model.

    Not specified
  3. 03
    Does the upstream provider retain data for abuse monitoring?

    Many providers keep API data for a limited period (often up to 30 days).

    Not specified
  4. 04
    Is data processed outside the EU/EEA?

    Whether requests may be routed to servers outside the EU/EEA.

    Not specified
  5. 05
    Is the model suitable for personal or sensitive data?

    Operator recommendation for sending personal data to this model.

    Not specified
  6. 06
    Does the model support image input?

    Whether you can send image_url content parts. Answered automatically from the model's capabilities.

    No
  7. 07
    Does the model support tool / function calling?

    Whether the tools parameter is supported. Answered automatically from the model's capabilities.

    No
  8. 08
    Is the model output content-filtered by the provider?

    Whether the upstream provider applies its own safety filters.

    Not specified
  9. 09
    Does SaaufAI enforce its own safeguards on this model?

    Usage limits or content rules checked by SaaufAI before a request reaches the provider. Answered automatically from the live configuration.

    Active: prompts screened for sexual content involving minors; prompts screened for cybersecurity, fraud & financial crime, illegal drug production, weapons & explosives, chemical & biological threats, violent extremism, self-harm & suicide, harassment & doxxing, adult sexual content, personal & payment data, jailbreaks & prompt injection. Prompts are screened by GPT 6 Luna Decisions, Gemini 3.5 Flash-Lite (via Google), D3; the screening model sees their content.

    Yes
  10. 10
    May requests be answered by a different (fallback) model?

    If the model fails or a safeguard is reached, the request can be served by another model without the response saying so, possibly at a different provider with different data terms. Answered automatically.

    No

Based on the upstream provider's terms. Yes or No is not a rating. how to read these.

02

Pricing

TokensPer 1MPer 1K
InputPrompt tokens€0.0448€0.0000448
OutputGenerated tokens, reasoning included€0.00€0.00

What requests cost

  • Short message1K in · 500 out€0.000045
  • Long prompt8K in · 2K out€0.000367
  • 1,000 short messages1K in · 500 out each€0.045

Prices in EUR, charged per token. Spend counts toward your key's spending limit, if it has one. Cached input applies when the provider reports prompt-cache hits.

03

Capabilities

Speed
Not measured yet. Measured from real traffic once there is enough.
Input
  • Text: supported
  • Image: not supported
  • Audio: not supported
  • Video: not supported
  • Files (PDF…): not supported
Output
  • Text: not supported
  • Image: not supported
  • Audio: not supported
  • Video: not supported
  • Embeddings: supported
  • Transcription: not supported
  • Decisions: not supported
Features
  • Streaming: not supported
  • Function calling: not supported
  • Structured outputs: not supported
  • Reasoning: not supported
Endpoints
  • /v1/embeddings: supported