bge-m3 - API in Egypt, billed in EGP

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BGE-M3 is a versatile text embedding model that supports multi-functionality, multi-linguality, and multi-granularity, allowing it to perform dense retrieval, multi-vector retrieval, and sparse retrieval in over 100 languages and with input sizes up to 8192 tokens. The model can be used in a retrieval pipeline with hybrid retrieval and re-ranking to achieve higher accuracy and stronger generalization capabilities. BGE-M3 has shown state-of-the-art performance on several benchmarks, including MKQA, MLDR, and NarritiveQA, and can be used as a drop-in replacement for other embedding models like DPR and BGE-v1.5.

Modality

Embedding

Context window

8K tokens

Region

US

Weights

Open weights

Published

29 Sept 2026

Pricing

Input

0.57

EGP per 1M tokens

Output

—

EGP per 1M tokens

Monthly cost example

28.65 EGP

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

Use it via the API

bge-m3 works with any OpenAI-compatible SDK — point the base URL at https://dev-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://dev-backend.sovereigneg.com/v1",
    api_key="YOUR_API_KEY",
)

response = client.embeddings.create(
    model="bge-m3",
    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 bge-m3 cost?

0.57 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 bge-m3?

bge-m3 supports a context window of 8,192 tokens (8K).

Where is bge-m3 hosted?

bge-m3 is served from US (US-hosted inference).

Is bge-m3 an open-weights model?

Yes — bge-m3 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 bge-m3 via the API?

bge-m3 is available through the OpenAI-compatible SovereignEG API: point your SDK's base URL at https://dev-backend.sovereigneg.com/v1 and call /v1/embeddings with model "bge-m3" and your API key.