Qwen2.5-VL-72B-Instruct - Starrise AI

Qwen2.5-VL-72B-Instruct is a vision model available through Starrise AI via an OpenAI-compatible API.

Key Capabilities

OpenAI compatible — Drop-in replacement for the OpenAI SDK with no code changes required
Long context — Supports large document processing and multi-turn conversations
Streaming — Real-time token streaming via SSE
Strong reasoning — Ideal for complex multi-step tasks

Quick Example

curl https://ai.alad.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": "Explain quantum entanglement in simple terms." }
    ]
  }'

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://ai.alad.com/v1"
)

response = client.chat.completions.create(
    model="qwen2.5-vl-72b-instruct",
    messages=[
        {"role": "user", "content": "Explain quantum entanglement in simple terms."}
    ]
)

print(response.choices[0].message.content)

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://ai.alad.com/v1"
)

stream = client.chat.completions.create(
    model="qwen2.5-vl-72b-instruct",
    messages=[
        {"role": "user", "content": "Write a short poem about the ocean."}
    ],
    stream=True
)

for chunk in stream:
    print(chunk.choices[0].delta.content or "", end="")

Parameters

Parameter	Type	Required	Description
`model`	string	Yes	Must be `qwen2.5-vl-72b-instruct`
`messages`	array	Yes	Array of `{{ role, content }}` objects
`max_tokens`	integer	No	Maximum number of tokens to generate
`temperature`	float	No	`0`–`2`, controls randomness, default `1`
`stream`	boolean	No	Enable SSE streaming, default `false`
`top_p`	float	No	Nucleus sampling threshold, default `1`
`stop`	string / array	No	Sequences that trigger generation stop

API Reference

View the interactive API Playground for Qwen2.5-VL-72B-Instruct.