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Nemotron 3.5 Embed 1B and 8B

NVIDIA's multimodal multilingual retrieval embedders join the catalog, free on the NIM developer tier.

nvidia/nemotron-3.5-embed-1b (2048 dimensions) and nvidia/nemotron-3.5-embed-8b (4096 dimensions) are NVIDIA's Nemotron 3.5 Embed retrievers: multilingual, 32,768-token window, vectors that can be truncated and re-normalized. NVIDIA's card also covers document-page images; on AnyRouter's /embeddings the input is text. Platform NVIDIA NIM plus BYOK, $0 on the NIM developer tier. NVIDIA's hosted endpoint is intermittent for these two while it is new.

AI SDK
import { createAnyRouter } from "@anyr/ai-sdk-provider"
import { embed } from "ai"

const anyrouter = createAnyRouter()

const { embedding } = await embed({
  model: anyrouter.embeddingModel("nvidia/nemotron-3.5-embed-8b"),
  value: "How do I rotate an API key?",
})
console.log(embedding.length)
Sign in once with the anyr CLI, then call the endpoint
anyr auth login
curl https://anyrouter.dev/api/v1/embeddings \
  -H "Authorization: Bearer $ANYROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"nvidia/nemotron-3.5-embed-8b","input":"How do I rotate an API key?"}'

Playbooks: AI SDK, OpenAI SDK.

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