Llama Nemotron Embed VL 1B V2 (free)

const res = await fetch("https://openrouter.ai/api/v1/embeddings", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.OPENROUTER_API_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    "model": "nvidia/llama-nemotron-embed-vl-1b-v2:free",
    "input": [
      "How do I reset my password?",
      "Billing runs on the first of each month."
    ]
  }),
});
const { data } = await res.json();
// One vector per input, in order. Store each with its source text.
const vectors = data.map((item: { embedding: number[] }) => item.embedding);
console.log(vectors.length, vectors[0].length);