01
Providers + pricing
| Capabilities | Provider details | ||||
|---|---|---|---|---|---|
| ● Your own key · billed by your provider · AnyRouter fee $0 | |||||
OVHcloud ovhcloud-byok | $0.01list | $0list | 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: "baai/bge-m3", 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 BGE-M3 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
BAAI's BGE-M3 is a multilingual text embedding model that handles dense, sparse, and multi-vector retrieval in one model, across 100+ languages and an 8,192-token input window. It returns a 1,024-dimension dense vector.
Released 2024-01-27 · params: input · model · encoding_format
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