Nemotron-3.5-Embed-8B-BF16 · deepinfra

Nemotron-3.5-Embed-8B-BF16 is a multimodal embedding model from NVIDIA that maps text, images, and page screenshots into a shared 4096-dimensional vector space for visual document retrieval and semantic search. Built on the Nemotron-3-Embed-8B text encoder with a vision encoder, it supports up to 32k tokens and Matryoshka dimensions, and delivers the highest retrieval quality in the Nemotron 3.5 family.

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Eingabe, $/1M $0.035

Ausgabe, $/1M —

Kontext 32 768

Akzeptiert —

Zuletzt geprüft 04.11.2026 12:00:14 UTC

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