Capabilities
Explore what nvidia/llama-nemotron-embed-vl-1b-v2 supports, then use the API section for a request tailored to this model.
Model Information
- Provider
- DeepInfra
- Product
- Embeddings
- Release Date
- Dec 18, 2025
- Data Policy
- Not specified
- Region
- US
- Input
- Text
- Output
- Embedding
Playground
Try nvidia/llama-nemotron-embed-vl-1b-v2 by DeepInfra. Requests use the selected workspace’s credits and API pricing.
Providers
Compare available endpoints, pricing, and context limits for nvidia/llama-nemotron-embed-vl-1b-v2.
| Provider | Context | Output | Input Price | Output Price | Endpoint |
|---|---|---|---|---|---|
| DeepInfra | 10.2K tokens | Embedding | $0.0085 / 1M tokens | — | nvidia/llama-nemotron-embed-vl-1b-v2 |
Prices are catalog rates. Your workspace’s estimate and endpoint pricing determine the final charge.
Input and Output Limits
Formats and limits AudioLab enforces on each request.
| Limit | Value |
|---|---|
| Dimensions | 2048 |
| Max batch | 8 |
| Max total tokens | 81920 |
Status
Current catalog availability. Your workspace’s access is checked separately before a request runs.
A live availability check is not available right now.
Getting Started
Use your workspace API key and the exact model identifier below. Set the API URL to the endpoint shown in your workspace and keep credentials on your server.
curl "$AUDIOLAB_API_URL/v1/embeddings" \
-H "Authorization: Bearer $AUDIOLAB_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "deepinfra/nvidia/llama-nemotron-embed-vl-1b-v2",
"input": "Build search with AudioLab.",
"encoding_format": "float"
}'Request Parameters
Available parameters depend on the provider and request format. The endpoint reference explains accepted values and required fields.
| Parameter | Details |
|---|---|
model | deepinfra/nvidia/llama-nemotron-embed-vl-1b-v2 — Required model identifier. |
input | View Accepted Values |
encoding_format | View Accepted Values |
input_type | View Accepted Values |
Input and Output Limits
Formats and limits AudioLab enforces on each request.
| Limit | Value |
|---|---|
| Dimensions | 2048 |
| Max batch | 8 |
| Max total tokens | 81920 |
Similar Models
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| Model | Context | Input Price | Output Price |
|---|---|---|---|
| nvidia/Nemotron-3-Embed-1B-BF16DeepInfra | 32.8K tokens | $0.0128 / 1M tokens | — |
| nvidia/Nemotron-3-Embed-1B-NVFP4DeepInfra | 32.8K tokens | $0.0085 / 1M tokens | — |
| nvidia/Nemotron-3-Embed-8BDeepInfra | 32.8K tokens | $0.0298 / 1M tokens | — |
| google/embeddinggemma-300mDeepInfra | 2K tokens | $0.0017 / 1M tokens | — |
| Qwen/Qwen3-Embedding-0.6BDeepInfra | 32.8K tokens | $0.0085 / 1M tokens | — |
| Qwen/Qwen3-Embedding-4BDeepInfra | 32.8K tokens | $0.017 / 1M tokens | — |