# Nemotron 3 Embed 1B

> NVIDIA Nemotron-3-Embed-1B is a 1.14B-parameter multilingual text embedding model (2048 dimensions, 34 languages) for semantic search, retrieval, and RAG. Built on Ministral-3-3B-Instruct; state-of-the-art on multilingual retrieval benchmarks (MMTEB 71.05, RTEB 72.38). Served via NVIDIA NIM.

**ID**: `nvidia/nemotron-3-embed-1b`  
**Creator**: nvidia  
**Category**: embedding  
**Context**: 33K tokens  
**Input**: $0  
**Output**: $0  
**Released**: 2026-07-16  
**Web page**: https://anyrouter.dev/model/nvidia/nemotron-3-embed-1b

**Input modalities**: text  
**Output modalities**: embeddings  

**Tokenizer**: Mistral

**Capabilities**: embedding

**Supported parameters**: input, model, encoding_format

## Usage

**Endpoint**: `POST https://anyrouter.dev/api/v1/embeddings`

```bash
curl https://anyrouter.dev/api/v1/embeddings \
  -H "Authorization: Bearer $ANYROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "nvidia/nemotron-3-embed-1b",
  "input": "The quick brown fox jumps over the lazy dog"
}'
```

Pass `input` as a string or an array of strings to embed a batch in one call.

## Providers

| Provider | Input | Output |
| --- | --- | --- |
| nvidia | $0 | $0 |
| nvidia-byok | $0 | $0 |

## Source

- Upstream docs: https://build.nvidia.com/nvidia/nemotron-3-embed-1b