Thenlper: GTE-Large

1 provider live

thenlper/gte-large

→

1 live provider

The gte-large embedding model converts English sentences, paragraphs and moderate-length documents into a 1024-dimensional dense vector space, delivering high-quality semantic embeddings optimized for information retrieval, semantic textual similarity, reranking and clustering tasks. Trained via multi-stage contrastive learning on a large domain-diverse relevance corpus, it offers excellent performance across general-purpose embedding use-cases.

Context: 512; tokens
Dimensions: 1,024; per vector
Input: $0.01; per million tokens

Providers

Ranked by price and speed. Requests go to the best healthy provider, then fail over down the list.

#	Provider	Input
1	DeepInfraNon-EU Data policy not declared	$0.01

Price history

No price changes since Oct 25, 2026.

DeepInfra$0.01 in

Questions

How much does Thenlper: GTE-Large cost?

Thenlper: GTE-Large costs $0.01 per million input tokens at DeepInfra, the provider requests go to first.

Do providers train on my prompts?

Each provider declares it, and the table above shows every declaration. You can limit a request to providers that keep nothing, or to providers in the EU.

512 context, $0.01 input. 1 provider.

BAAI: bge-m3baai/bge-m3

8K context, $0.01 input. 1 provider.

Intfloat: E5-Large-v2intfloat/e5-large-v2

512 context, $0.01 input. 1 provider.

Call it

import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.llm.buzz/api/v1",
    api_key=os.environ["LLM_BUZZ_KEY"],
)
result = client.embeddings.create(
    model="thenlper/gte-large",
    input="Hello",
)

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api.llm.buzz/api/v1",
  apiKey: process.env.LLM_BUZZ_KEY,
});
const result = await client.embeddings.create({
  model: "thenlper/gte-large",
  input: "Hello",
});

curl https://api.llm.buzz/api/v1/embeddings \
  -H "Authorization: Bearer $LLM_BUZZ_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "thenlper/gte-large", "input": "Hello"}'

Endpoints

POST /api/v1/embeddings

Authentication

Send your llm.buzz key as a Bearer token: Authorization: Bearer $LLM_BUZZ_KEY. Create keys in the console. The same key calls every model; each request pays the price of the provider that answered it.

More in Authentication and the API reference.

Call Thenlper: GTE-Large with one keyEach request pays the price of the provider that answered it.

Get API key