Nemotron 3.5 Embed 8B
Review Nemotron 3.5 Embed 8B on key metrics including price, context length, throughput, and model features.
AuthorNvidia
Context Length32.8k
Supports Tools
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.
Activity
Last 14 daysNot enough activity yet
Prompt
0Completion
0Total
-Startup
Startup
Latency (p50)-
Throughput (p50)-
Pricing
Embeddings$0.02/M tokens
Features
Input Modalitiestext
Output Modalitiesembeddings
Supported EndpointsEmbeddings
Vision
Supports Tools