gte-large - API in Egypt, billed in EGP

Live
thenlper

The GTE models are trained by Alibaba DAMO Academy. They are mainly based on the BERT framework and currently offer three different sizes of models, including GTE-large, GTE-base, and GTE-small. The GTE models are trained on a large-scale corpus of relevance text pairs, covering a wide range of domains and scenarios. This enables the GTE models to be applied to various downstream tasks of text embeddings, including information retrieval, semantic textual similarity, text reranking, etc.

Modality

Embedding

Context window

512 tokens

Region

US

Weights

Open weights

Published

Jul 14, 2026

Pricing

Input

0.65

EGP per 1M tokens

Output

Free

EGP per 1M tokens

Monthly cost example

32.5 EGP

Illustrative estimate: 50M input + 15M output tokens per month at this model's catalog rates.

Use it via the API

gte-large works with any OpenAI-compatible SDK — point the base URL at https://backend.sovereigneg.com/v1 and use your SovereignEG API key.

Run inference

OpenAI-compatible — POST /v1/embeddings — drop-in for any OpenAI SDK.

from openai import OpenAI

client = OpenAI(
    base_url="https://backend.sovereigneg.com/v1",
    api_key="YOUR_API_KEY",
)

response = client.embeddings.create(
    model="gte-large",
    input="The food was delicious and the waiter...",
    encoding_format="float",
)

vector = response.data[0].embedding
print(f"dim={len(vector)}, first 8 dims: {vector[:8]}")

Frequently asked questions

How much does gte-large cost?

0.65 EGP per 1M input tokens; Output tokens are free. Billing is metered per token in Egyptian pounds (EGP), with no minimum commitment.

What is the context window of gte-large?

gte-large supports a context window of 512 tokens (512).

Where is gte-large hosted?

gte-large is served from US (US-hosted inference).

Is gte-large an open-weights model?

Yes — gte-large is an open-weights model. You call it through the SovereignEG API like any other catalog model, with per-token EGP billing.

How do I use gte-large via the API?

gte-large is available through the OpenAI-compatible SovereignEG API: point your SDK's base URL at https://backend.sovereigneg.com/v1 and call /v1/embeddings with model "gte-large" and your API key.