Qwen2.5-VL (72B) Instruct - API for Egypt, billed in EGP
Liveqwen2.5-vl-72b-instructQwen2.5-VL is proficient in recognizing common objects such as flowers, birds, fish, and insects. It is also highly capable of analyzing texts, charts, icons, graphics, and layouts within images.
Modality
Chat
Context window
128K tokens
Max output
115K tokens
Region
US
Weights
Open weights
Published
20 Aug 2026
Pricing
Input
47.05
EGP per 1M tokens
Output
58.81
EGP per 1M tokens
Cache read
23.52
EGP per 1M cached input tokens
Monthly cost example
3,234.43 EGP
Illustrative estimate: 50M input + 15M output tokens per month at this model’s catalog rates.
Use it via the API
Qwen2.5-VL (72B) Instruct works with any OpenAI-compatible SDK — point the base URL at https://backend.sovereigneg.com/v1 and use your SovereignEG API key.
Run inference
POST /v1/chat/completions — OpenAI-compatible: SovereignEG's own seg-sdk, or a drop-in for any OpenAI SDK.
from seg import SEG # pip install seg-sdk
client = SEG(api_key="YOUR_API_KEY")
response = client.chat.completions.create(
model="qwen2.5-vl-72b-instruct",
messages=[
{"role": "user", "content": "What are some fun things to do in Cairo?"}
],
)
print(response.choices[0].message.content)from openai import OpenAI
client = OpenAI(
base_url="https://backend.sovereigneg.com/v1",
api_key="YOUR_API_KEY",
)
response = client.chat.completions.create(
model="qwen2.5-vl-72b-instruct",
messages=[
{"role": "user", "content": "What are some fun things to do in Cairo?"}
],
)
print(response.choices[0].message.content)import OpenAI from "openai"
const client = new OpenAI({
baseURL: "https://backend.sovereigneg.com/v1",
apiKey: "YOUR_API_KEY",
})
const response = await client.chat.completions.create({
model: "qwen2.5-vl-72b-instruct",
messages: [
{ role: "user", content: "What are some fun things to do in Cairo?" },
],
})
console.log(response.choices[0].message.content)curl https://backend.sovereigneg.com/v1/chat/completions \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "qwen2.5-vl-72b-instruct",
"messages": [
{"role": "user", "content": "What are some fun things to do in Cairo?"}
]
}'Frequently asked questions
How much does Qwen2.5-VL (72B) Instruct cost?
47.05 EGP per 1M input tokens; 58.81 EGP per 1M output tokens. Billing is metered per token in Egyptian pounds (EGP), with no minimum commitment.
What is the context window of Qwen2.5-VL (72B) Instruct?
Qwen2.5-VL (72B) Instruct supports a context window of 128,000 tokens (128K), with up to 115,200 output tokens per response.
Where is Qwen2.5-VL (72B) Instruct hosted?
Qwen2.5-VL (72B) Instruct is served from US (US-hosted inference).
Is Qwen2.5-VL (72B) Instruct an open-weights model?
Yes — Qwen2.5-VL (72B) Instruct 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 Qwen2.5-VL (72B) Instruct via the API?
Qwen2.5-VL (72B) Instruct is available through the OpenAI-compatible SovereignEG API: point your SDK's base URL at https://backend.sovereigneg.com/v1 and call /v1/chat/completions with model "qwen2.5-vl-72b-instruct" and your API key.