Full Model Pricing
Model profile

Qwen2.5-VL (72B) Instruct

Qwen chat
Qwen/Qwen2.5-VL-72B-Instruct

Qwen2.5-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.

At a glance

Model specifications

The most important technical and pricing details in one place.

Context window
128K tokens
Model type
Chat
Input / 1M
$0.80
Output / 1M
$1.00

Providers and routing order

Gateway-compatible routes are tried from the lowest cost; other sources are shown for catalog reference.

2 sources
1
OpenRouterGateway activeqwen/qwen2.5-vl-72b-instruct · Updated 05.10.2026 20:17
Input$0.8000 / 1M Output$1.0000 / 1M Cache$0.4000 / 1M Media-
2
Together AIGateway activeQwen/Qwen2.5-VL-72B-Instruct · Updated 05.10.2026 20:17
Input$1.9500 / 1M Output$8.0000 / 1M Cache$0.0000 / 1M Media-
Live telemetry

Usage and performance

Current request, token, and latency data across TamgaStudio.

Usage Example

Call Qwen2.5-VL (72B) Instruct with a single request through the OpenAI-compatible TamgaStudio API. Create your API key from the API Keys section in your dashboard.

curl https://api.tamga.studio/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer tl-sk-XXXXXX" \
  -d '{"model": "Qwen/Qwen2.5-VL-72B-Instruct", "messages": [{"role": "user", "content": "Hello!"}]}'
import requests

resp = requests.post(
    "https://api.tamga.studio/v1/chat/completions",
    headers={"Authorization": "Bearer tl-sk-XXXXXX"},
    json={
        "model": "Qwen/Qwen2.5-VL-72B-Instruct",
        "messages": [{"role": "user", "content": "Hello!"}],
    },
)
print(resp.json()["choices"][0]["message"]["content"])
<?php
$ch = curl_init('https://api.tamga.studio/v1/chat/completions');
curl_setopt_array($ch, [
    CURLOPT_POST => true,
    CURLOPT_HTTPHEADER => [
        'Authorization: Bearer tl-sk-XXXXXX',
        'Content-Type: application/json',
    ],
    CURLOPT_POSTFIELDS => json_encode([
        'model' => 'Qwen/Qwen2.5-VL-72B-Instruct',
        'messages' => [['role' => 'user', 'content' => 'Hello!']],
    ]),
    CURLOPT_RETURNTRANSFER => true,
]);
echo curl_exec($ch);

Frequently Asked Questions

Common questions about this model.

What is Qwen2.5-VL (72B) Instruct?
Qwen2.5-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. It is accessible through a single OpenAI-compatible API via TamgaStudio.
How much does Qwen2.5-VL (72B) Instruct cost?
Pricing is $0.80 per 1M input tokens and $1.00 per 1M output tokens. Billing is credit-based: you only pay for what you use.
What is the context length of Qwen2.5-VL (72B) Instruct?
Qwen2.5-VL (72B) Instruct supports a context of up to 128,000 tokens in one request.
Can I use Qwen2.5-VL (72B) Instruct with the OpenAI SDK?
Yes. TamgaStudio exposes all models through an OpenAI-compatible endpoint: https://api.tamga.studio/v1/chat/completions. Just swap the base URL and API key in your existing OpenAI code.
How do I get an API key?
After signing in, create a key from the "API Keys" section of your dashboard. The key is shown only once and is stored as a SHA-256 hash.