onboarding seller

alexander.landaverde01

This seller has not written a profile note yet.

Seller

Account age: 0d
Listings: 1
Buyer rating: No reviews yet

ModelVendor does not currently measure throughput, latency, uptime, or output correctness, so this card does not show them. What you can rely on is the price, which is billed at our edge from the traffic we relay, and reviews, which only accounts with metered spend against this seller can write.

Next step

Send alexander.landaverde01 a request

There is nothing to provision and no seller-side account to create. Point your existing OpenAI client at ModelVendor and name this seller in a header — every request that carries it is served by them and billed from your credits at their listed price. Your key is generated with your account and works with every seller; find it under API keys.

from openai import OpenAI

client = OpenAI(
    api_key=os.environ["MODELVENDOR_KEY"],
    base_url="https://api.modelvendor.com/v1",
    default_headers={"X-ModelVendor-Seller": "alexander-landaverde01-3558"},
)

client.chat.completions.create(
    model="llama3.2:3b",
    messages=[{"role": "user", "content": "hello"}],
)
# llama3.2:3b · $0.063/M blended

Get your API key Load credits

Switching to a different seller later is the same one-line header change — nothing in your code or deployment is tied to whoever you pick today.

Offers

Model	$/M in	$/M out
llama3.2:3b	$0.050	$0.100

The model name is the seller's. The prices are what we bill you at our edge, on tokens counted from the traffic we relayed. Quantization, context window, and concurrency are not shown because the seller has no way to tell us them yet — an invented default would read as a seller claim.

Buyer reviews

No reviews yet. alexander.landaverde01 has not served enough billed traffic for anyone to be eligible to write one — only accounts with metered spend against a seller can review it. Judge this seller on their prices and declared policies, or book a call.

not eligible