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.
Performance
Pricing
| Input price | $0.00 · 1M tokens |
| Output price | $0.00 · 1M tokens |
| Context window | 131.1K tokens |
| Compatible endpoints | openai |
| Vendor | Alibaba |
Call qwen2.5-vl-72b-instruct from your code
Point any OpenAI-compatible SDK at UnoRouter and request the model by name. Replace YOUR_API_KEY with a real key from your dashboard.
curl https://api.unorouter.ai/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": "Hello!"}]
}'Frequently asked questions
How much does qwen2.5-vl-72b-instruct cost per 1M tokens?
Input is priced at $0.00 per 1M tokens, output at $0.00 per 1M tokens. Billing is per token, no rounding to batch sizes.
How do I access qwen2.5-vl-72b-instruct via API?
Send requests to the UnoRouter /v1/chat/completions endpoint with model=qwen2.5-vl-72b-instruct. Any OpenAI-compatible client library works. Authentication uses a standard Bearer token.
What is the context window of qwen2.5-vl-72b-instruct?
qwen2.5-vl-72b-instruct supports a context window of 131.1K tokens, shared between your prompt and the model's response.
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Try qwen2.5-vl-72b-instruct now
Create an API key and start making requests in under a minute.