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Note: For the free endpoint, all prompts and output are logged to improve the provider's model and its product and services. Please do not upload any personal, confidential, or otherwise sensitive information. This is a trial use only. Do not use for production or business-critical systems.

Favicon for nvidia

NVIDIA: Llama Nemotron Embed VL 1B V2 (free)

nvidia/llama-nemotron-embed-vl-1b-v2:free

Model weights

The Llama Nemotron Embed VL 1B V2 embedding model is optimized for multimodal question-answering retrieval. The model can embed 'documents' in the form of image, text, or image and text combined. Documents can be retrieved given a user query in text form. The model supports images containing text, tables, charts, and infographics.

Modalities
Price
Free
Context
131K
Released
Feb 25, 2026
ProvidersPerformanceUptimeAppsActivityFAQExplore

Providers

This model is hosted by one provider. OpenRouter forwards every request to it directly — no routing decisions to make.

Performance

Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better).

Uptime

Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.

Apps

Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.

Activity

Token volume and request traffic to this model over time.

API

Drop-in code to call this model. OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. The only thing that changes between models is the model slug below.

Not currently available through EU in-region routing. In-region routing docs

Explore more models

Free AI Models on OpenRouterCollectionAI Models with Vision: Multimodal LLMs for Image UnderstandingCollectionText Embedding ModelsCollectionEmbedding Model RankingsRanking
Latency
Free0.33s
58.83%
Latency
0.33s

P50, best provider

Uptime (3d)The model was reachable. Request routed to a provider.
100.00%
Availability (3d)The model returned inference from any provider. Errors and empty responses count against it.
57.47%

Availability over the last 3 days

Last 72 hours
Availability 57.47%
3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability
99.91%

When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and provider routing options.

1.
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SillyTavern
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2.
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Ask embed proxy
new
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3.
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Notion Search Extension
new
33.4Mtokens
4.
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Agent Smith World
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Frequently asked questions

The Llama Nemotron Embed VL 1B V2 embedding model is optimized for multimodal question-answering retrieval. The model can embed 'documents' in the form of image, text, or image and text combined. Documents can be retrieved given a user query in text form. The model supports images containing text, tables, charts, and infographics.

Yes. The pricing shown on this page for Llama Nemotron Embed VL 1B V2 (free) is zero, so you are not charged for embedded tokens. Free endpoints are rate limited — see the rate limit docs.

Llama Nemotron Embed VL 1B V2 (free) accepts up to 131,072 tokens per input. Longer text has to be split into multiple inputs.

Llama Nemotron Embed VL 1B V2 (free) accepts text and images as input and returns embedding vectors.

Nemotron 3.5 Embed 1B (free), Nemotron 3.5 Embed 8B (free), and Nemotron 3 Embed 1B (free) are other embedding models from Nvidia.

Llama Nemotron Embed VL 1B V2 (free) was released on February 25, 2026.