nvidia
NVIDIA: Nemotron 3.5 Embed 1B (free)
nvidia/nemotron-3.5-embed-1b:free
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
According to the OpenRouter catalog, nvidia/nemotron-3.5-embed-1b:free is an NVIDIA multimodal embedding model for multilingual retrieval across text and document-page images such as tables, charts, and infographics. It accepts text and image inputs and returns embeddings; queries are text, while documents may be visual pages. These are catalog-reported capabilities, not independently measured results, and no independent model card was available in this source pack.[1]
Strengths
Limitations
- The only supplied evidence is an OpenRouter catalog entry; an independent model card was not available.[1]
- No independently measured benchmark results were provided, so real-world quality and reliability remain unverified.[1]
- The supplied description appears truncated, leaving details such as language coverage and document handling unclear.[1]
Where to use it
- Evaluate for text-query retrieval against document-page images containing tables, charts, or infographics.[1]
- Prototype multimodal search over text and visually rich documents, with workload-specific validation.[1]
- Explore multilingual document retrieval after confirming support for the required languages.[1]
Sources
- [1] OpenRouter catalog · NVIDIA: Nemotron 3.5 Embed 1B (free)Sources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
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...
Specifications
- Model ID
- nvidia/nemotron-3.5-embed-1b:free
- Canonical ID
- nvidia/nemotron-3.5-embed-1b-20261021
- Creator
- nvidia
- Added to OpenRouter
- 21.10.2026
- Context length
- 32,768
- Modality
- text+image->embeddings
- Input modalities
- text, image
- Output modalities
- embeddings
- Token pricing
- USD per 1M tokens: in $0 / out $0
- Knowledge cutoff
- —
- Expiration date
- —
Tasks and capabilities
A grade appears only where the source supplies a matching measurement for that task, the model is active and the cohort holds at least 10 comparable models. The capability column lists facts the source declares — supported formats, reasoning and tool parameters — which are not measured quality.
| Task | Grade | Source-declared capability |
|---|---|---|
| General quality | No measurement | — |
| Coding | No measurement | — |
| Agents | No measurement | — |
| Writing | No measurement | — |
| Reasoning | No measurement | — |
| Document analysis | No measurement | — |
| Vision | No measurement | input: image |
| Image generation | No measurement | — |
| Audio | No measurement | — |
| Video | No measurement | — |
| Embeddings | No measurement | output: embeddings |
Evaluations
No evaluations are supplied for this model.
How grades work
Each letter grade compares a model only against other models scored by the same source and metric in the current snapshot. S means the top 10%, A the next 20%, B the next 30%, C the rest. Models without a published measurement are shown as not rated — a supported format alone never implies measured quality.
- S — S — top 10% of the cohort
- A — A — next 20% of the cohort
- B — B — next 30% of the cohort
- C — C — below the B band
Providers
Optional live provider statistics from OpenRouter. Missing values are unknown, not zero.
| Provider | Context length | Price in /1M | Price out /1M | Latency p50 (30m, s) | Throughput p50 (30m, tok/s) | Uptime (30m) |
|---|---|---|---|---|---|---|
| Nvidiabf16 | 32,768 | $0 | $0 | — | — | 44.44% |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.