01
Providers + pricing
| Capabilities | Provider details | ||||
|---|---|---|---|---|---|
| ● Credits · billed by AnyRouter | |||||
NVIDIA nvidia | $0 | $0 | |||
| ● Your own key · billed by your provider · AnyRouter fee $0 | |||||
NVIDIA nvidia-byok | $0 | $0 | Unavailable | ||
| ● Free pool · donated keys · not available for this model — donate a key | |||||
02
Try it
POST /api/v1/embeddings
import OpenAI from "openai" const client = new OpenAI({ apiKey: process.env.ANYROUTER_API_KEY, baseURL: "https://anyrouter.dev/api/v1",}) const resp = await client.embeddings.create({ model: "nvidia/nemotron-3-embed-1b", input: "The quick brown fox jumps over the lazy dog",})console.log(resp.data[0].embedding.slice(0, 8))
Set
ANYROUTER_API_KEY · edits on the demo update this codeLive demo
03
Uptime + latency
—recent checks · all routes
No health checks recorded for this model yet.
24h
No traffic in the last 24h.
More performance detail
04
Your access
CreditsTín dụngCredits
Your own key · AnyRouter fee $0
Run Nemotron 3 Embed 1B on your own key — your requests are billed by the provider. Pool callers pay AnyRouter credits.
No BYOK keys configured for this model yet.
Share a key with the pool to earn credits for every request it serves, covering your plan cost.
Free poolnot in pool yetDonate key →
Create API key for this model05
About
NVIDIA Nemotron-3-Embed-1B is a 1.14B-parameter multilingual text embedding model (2048 dimensions, 34 languages) for semantic search, retrieval, and RAG. Built on Ministral-3-3B-Instruct; state-of-the-art on multilingual retrieval benchmarks (MMTEB 71.05, RTEB 72.38). Served via NVIDIA NIM.
Released 2026-07-16 · params: input · model · encoding_format
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