BGE-M3, BGE Multilingual Gemma 2, Mistral Small 3.2 — now on OVHcloud AI Endpoints

baai/bge-m3 and baai/bge-multilingual-gemma2 are multilingual text embedding models from BAAI, both with an 8,192-token input window. BGE-M3 is the larger one and covers dense, sparse, and multi-vector retrieval in a single model; the Gemma 2 variant is the compact one. Reach for either on semantic search, dedupe, and RAG retrieval — pick the vector width your index expects, 1,024 or 3,584 dimensions.

mistralai/mistral-small-3.2-24b-instruct is the current Mistral Small: 24B parameters, a 131K context window, better instruction following and function calling than 3.1, same Apache-2.0 license. The 3.1 row stays listed — start new work on 3.2.

All three arrive on a new BYOK provider. OVHcloud AI Endpoints is an OpenAI-compatible catalog on OVHcloud Public Cloud covering the Qwen 3.5 / 3.6 / 3.8 tiers, gpt-oss, Llama 3.3, Mistral, and these embedding models. Add an OVHcloud AI Endpoints token under Dashboard → BYOK and the call is served with your key — AnyRouter charges nothing for a BYOK route, so OVHcloud bills you at their published per-token rate. Nine existing listings pick up an OVHcloud route too, including qwen/qwen3-embedding-8b at 4,096 dimensions.

import { embedMany } from "ai"
import { createAnyRouter } from "@anyr/ai-sdk-provider"

const anyrouter = createAnyRouter()

const { embeddings } = await embedMany({
  model: anyrouter.embeddingModel("baai/bge-m3"),
  values: ["first document", "second document"],
})

console.log(embeddings[0].length) // 1024

anyr claude --model "mistralai/mistral-small-3.2-24b-instruct"

Playbooks: AI SDK · OpenAI SDK · BYOK setup · coding agents.