Embedding model for semantic search, retrieval, clustering, and ranking pipelines
https://integrate.api.nvidia.com/v1 nvidia/llama-nemotron-embed-vl-1b-v2 llama-nemotron-embed-vl-1b-v2 is listed for chat, reasoning, embedding workloads and supports a 131K context window.
Use it when NVIDIA NIM's free tier is enough for evaluation, demos, or light production traffic.
We only found this nemotron listing on NVIDIA NIM in the current catalog. Use the related models section for nearby alternatives.
| Provider | Model listing | Access | Context | API | Limits |
|---|---|---|---|---|---|
| | nvidia/llama-nemotron-embed-vl-1b-v2 | Free tier | 131K | OpenAI-style | Up to 40 RPM |
| Model | Provider | Context | Access |
|---|---|---|---|
| 01-ai/yi-large | NVIDIA NIM | 131K | Free tier |
| adept/fuyu-8b | NVIDIA NIM | 131K | Free tier |
| ai21labs/jamba-1.5-large-instruct | NVIDIA NIM | 131K | Free tier |
| aisingapore/sea-lion-7b-instruct | NVIDIA NIM | 131K | Free tier |
| baai/bge-m3 | NVIDIA NIM | 131K | Free tier |
llama-nemotron-embed-vl-1b-v2 is tagged for chat in this catalog and works with OpenAI-compatible client libraries.
llama-nemotron-embed-vl-1b-v2 is tagged for reasoning in this catalog and works with OpenAI-compatible client libraries.
llama-nemotron-embed-vl-1b-v2 is tagged for embedding in this catalog and works with OpenAI-compatible client libraries.
llama-nemotron-embed-vl-1b-v2 is listed with free API access on NVIDIA NIM, subject to the provider's quota and account policy.
The model ID shown in this catalog is nvidia/llama-nemotron-embed-vl-1b-v2.
The listed free tier limit is Up to 40 RPM. Limits can change per account tier, so confirm against the provider dashboard.
The listed context window is 131K tokens with up to 8K output tokens.
Embedding model for semantic search, retrieval, clustering, and ranking pipelines
For API keys, setup steps, and provider-level limits, see the NVIDIA NIM provider page.