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veriEmbedding

What is this model?

A model hosted by Qevron on our own GPU infrastructure.

Capability & type

CapabilityEmbedding — Capability page
Model typeEmbedding (type=3)
Base modelBAAI/bge-m3
Providerarpanet (local / self-hosted)
Streaming

Endpoint

POST /v1/embeddings

Base URL: https://app.qevron.ai/v1

Authentication

Every request needs the Authorization: Bearer <KEY> header.

Authorization: Bearer <KEY>

Request schema & parameters

ParameterTypeRequiredDescription
modelstringveriEmbedding
inputstringstring[]

Response schema

json
{
  "object": "list",
  "data": [{"object": "embedding", "index": 0, "embedding": [0.01, -0.02, "..."]}],
  "model": "veriEmbedding",
  "usage": {"prompt_tokens": 0, "total_tokens": 0}
}

Code examples

curl

bash
curl https://app.qevron.ai/v1/embeddings \
  -H "Authorization: Bearer $QEVRON_KEY" -H "Content-Type: application/json" \
  -d '{"model": "veriEmbedding", "input": ["first text", "second text"]}'

Python

python
from openai import OpenAI
client = OpenAI(api_key="$QEVRON_KEY", base_url="https://app.qevron.ai/v1")
r = client.embeddings.create(model="veriEmbedding", input=["first text", "second text"])
print(len(r.data[0].embedding))

Pricing

InputOutputUnit
$0.000021K tokens

Rate limits

RPM/TPM are governed by your group quota. Check your current quota with: GET /v1/dashboard/billing/quota.

Qevron — AI gateway. Arpanet / OpenAI / Anthropic / Gemini compatible.