NVIDIA
NV-QwenOmni-Embed-3B-v1 is a versatile multimodal embedding model capable of encoding content across multiple modalities, including text, image, audio, and video, either individually or in combination, and supports retrieval using queries that can also be multimodal.
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27.0
Quality Score
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Arena ELO
5B
Parameters
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Context
This measures the amount of verifiable public evidence we have, not how capable the model is. A missing field means it has not been verified yet, not that its value is zero.
14 of 22 public signals
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11.3K
Downloads
130
Likes
Sep 2025
Released
4/5 signals
1/4 signals
3/5 signals
3/4 signals
3/4 signals
Parameters
5B
Training compute
Not reported
Dataset scale
Not reported
Base model
Not reported
Gaps we are still tracking
Metadata sources
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Public pricing, no login required. Rates are in USD and billed by the provider, separately from AI Market Cap data plans. Confirm billing cycle, taxes, usage caps, and specific model availability before purchasing. A subscription does not automatically include API credits; context length, caching, and tools can change usage costs.
Free access notes: Local Ollama runtime
No pricing data available yet.