Models / Vision / Qwen2.5-VL 72B Instruct
Qwen2.5-VL 72B Instruct
Chat
Vision
Vision-language model with advanced visual reasoning, video understanding, structured outputs, and agentic capabilities.
Try our Qwen2.5-VL API
New
API Usage
How to use Qwen2.5-VL 72B InstructModel CardPrompting Qwen2.5-VL 72B InstructApplications & Use CasesAPI Usage
Endpoint
Qwen/Qwen2.5-VL-72B-Instruct
RUN INFERENCE
curl -X POST "https://api.together.xyz/v1/chat/completions" \
-H "Authorization: Bearer $TOGETHER_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "Qwen/Qwen2.5-VL-72B-Instruct",
"messages": [{"role": "user", "content": "What are some fun things to do in New York?"}]
}'JSON RESPONSE
RUN INFERENCE
from together import Together
client = Together()
response = client.chat.completions.create(
model="Qwen/Qwen2.5-VL-72B-Instruct",
messages=[{"role": "user", "content": "What are some fun things to do in New York?"}],
)
print(response.choices[0].message.content)JSON RESPONSE
RUN INFERENCE
import Together from "together-ai";
const together = new Together();
const response = await together.chat.completions.create({
messages: [{"role": "user", "content": "What are some fun things to do in New York?"}],
model: "Qwen/Qwen2.5-VL-72B-Instruct",
});
console.log(response.choices[0].message.content)JSON RESPONSE
Model Provider:
Qwen
Type:
Vision
Variant:
VL
Parameters:
72B
Deployment:
✔️ Serverless
Quantization
Context length:
Pricing:
$1.95 input / $8 output
Run in playground
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Quickstart docs
Quickstart docs
How to use Qwen2.5-VL 72B Instruct
Model details
Prompting Qwen2.5-VL 72B Instruct
Applications & Use Cases
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Deploy Qwen2.5-VL 72B Instruct on a dedicated endpoint with custom hardware configuration, as many instances as you need, and auto-scaling.
