Llama Nemotron Embed 1B v2
Summary
Llama Nemotron Embed 1B v2 is an open-weight language model from NVIDIA, released on 16 Oct 2025. It accepts text and generates text, with a 8K-token context window and up to 2K output tokens per response.
Multilingual text embedding model for retrieval and question answering pipelines
Last verified 17 Oct 2026. Every figure on this page links to its source.
Specifications
| Developer | NVIDIA |
|---|---|
| Release date | 16 Oct 2025 [models.dev] |
| Status | Generally available [models.dev] |
| Weights | Open weights [models.dev] |
| Context window | 8K (8,192 tokens) [models.dev] |
| Max output | 2K tokens [models.dev] |
| Input | Text [models.dev] |
| Output | Text [models.dev] |
| Reasoning mode | No [models.dev] |
| Tool calling | No [models.dev] |
Llama Nemotron Embed 1B v2 API pricing by provider
USD per million tokens. Sorted by input price.
We do not currently track a paid API listing for this model.
Frequently asked questions
What is the context window of Llama Nemotron Embed 1B v2?
Llama Nemotron Embed 1B v2 has a context window of 8,192 tokens (8K) and can generate up to 2,048 tokens in a single response, according to models.dev.
Is Llama Nemotron Embed 1B v2 open source?
Llama Nemotron Embed 1B v2 is an open-weight model. Check the license terms before commercial use.
When was Llama Nemotron Embed 1B v2 released?
NVIDIA released Llama Nemotron Embed 1B v2 on 16 Oct 2025, according to models.dev.
Change history
- Added to the directory