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For the free endpoint, please do not upload any confidential information or personal data (such as voices or faces of people). Your use is logged for security purposes and to improve NVIDIA products and services. The logged session data for improvement purposes is not linked to your identity or any persistent identifier. For more information about NVIDIA's data processing practices, see Privacy PolicyOpens in new tab. By using this free endpoint, you consent to NVIDIA's collection, recording, and use of such information and the NVIDIA API Trial Terms of ServiceOpens in new tab

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NVIDIA: Nemotron 3.5 Embed 1B (free)

nvidia/nemotron-3.5-embed-1b:free

Nemotron 3.5 Embed 1B is a multimodal embedding model from NVIDIA for multilingual retrieval over text and document page images (tables, charts, infographics). Queries are text and documents can be text, an image, or both. It returns 2048-dim vectors that can be truncated, and shares the text embedding space of Nemotron 3 Embed 1B.

Modalities
Price
Free
Context
33K
Released
Oct 21, 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

Frequently asked questions

Nemotron 3.5 Embed 1B is a multimodal embedding model from NVIDIA for multilingual retrieval over text and document page images (tables, charts, infographics). Queries are text and documents can be text, an image, or both. It returns 2048-dim vectors that can be truncated, and shares the text embedding space of Nemotron 3 Embed 1B.

Yes. The pricing shown on this page for Nemotron 3.5 Embed 1B (free) is zero, so you are not charged for embedded tokens. Free endpoints are rate limited — see the rate limit docs.

Nemotron 3.5 Embed 1B (free) accepts up to 32,768 tokens per input. Longer text has to be split into multiple inputs.

Nemotron 3.5 Embed 1B (free) accepts text and images as input and returns embedding vectors.

Nemotron 3.5 Embed 8B (free), Nemotron 3 Embed 1B (free), and Llama Nemotron Embed VL 1B V2 (free) are other embedding models from Nvidia.

Nemotron 3.5 Embed 1B (free) was released on October 21, 2026.