Qwen2.5 VL 72B Instruct
About this model
Qwen2.5 VL 72B Instruct is an AI model from Alibaba Qwen, made available through the API on February 1, 2025. It can read up to 128,000 tokens in one request, roughly 240 pages of text, and write up to 115,200 tokens in a single answer. Besides text, it accepts images as input.
Through the API it costs $0.80 per million input tokens and $1 per million output tokens. Its pricing sits in the middle of the market.
Its weights are openly published (Qwen/Qwen2.5-VL-72B-Instruct), so it can also be downloaded and run on your own hardware.
Quality scores
Rankings →Not rated yet. Independent test results usually appear a few weeks after a model is released.
Where to use it
Companies that serve this model through an API: 1. Prices per million tokens, cheapest first.
Availability and prices come from OpenRouter’s public API and are refreshed daily. Uptime is the share of successful requests over the last 24 hours. Some providers run a compressed version of open models (fp8, int4), which is cheaper but can be slightly less accurate.
Use it in your code
Call Qwen2.5 VL 72B Instruct through OpenRouter’s OpenAI-compatible API: create a key on openrouter.ai, then run one of these examples.
curl https://openrouter.ai/api/v1/chat/completions \
-H "Authorization: Bearer $OPENROUTER_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model": "qwen/qwen2.5-vl-72b-instruct", "messages": [{"role": "user", "content": "Hello! What can you do?"}]}'import os
from openai import OpenAI
client = OpenAI(base_url="https://openrouter.ai/api/v1", api_key=os.environ["OPENROUTER_API_KEY"])
reply = client.chat.completions.create(
model="qwen/qwen2.5-vl-72b-instruct",
messages=[{"role": "user", "content": "Hello! What can you do?"}],
)
print(reply.choices[0].message.content)import OpenAI from "openai";
const client = new OpenAI({ baseURL: "https://openrouter.ai/api/v1", apiKey: process.env.OPENROUTER_API_KEY });
const reply = await client.chat.completions.create({
model: "qwen/qwen2.5-vl-72b-instruct",
messages: [{ role: "user", content: "Hello! What can you do?" }],
});
console.log(reply.choices[0].message.content);The same code works with every model on this site: only the model ID changes. Many labs also offer their own API and SDK.
What it costs in practice
- 1,000 chat replies$0.70
- Summarise a 100-page document$0.041
- An app with 10,000 requests a day for a month$360
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News about Alibaba Qwen
See all →Frequently asked questions
- How much does Qwen2.5 VL 72B Instruct cost?
- Qwen2.5 VL 72B Instruct costs $0.80 per million input tokens and $1 per million output tokens through the API. For example, 1,000 chat replies of about 500 tokens in and 300 out cost around $0.70.
- What is the context window of Qwen2.5 VL 72B Instruct?
- Qwen2.5 VL 72B Instruct can read up to 128,000 tokens in one request, about 240 pages of text. It can write up to 115,200 tokens in a single answer.
- Is Qwen2.5 VL 72B Instruct open source?
- Yes. Its weights are published (Qwen/Qwen2.5-VL-72B-Instruct), so you can download it and run it on your own hardware, or use it through one of 1 API providers.
- Who makes Qwen2.5 VL 72B Instruct?
- Qwen2.5 VL 72B Instruct is made by Alibaba Qwen. It became available through the API on February 1, 2025.
- Can Qwen2.5 VL 72B Instruct read images?
- Yes. Besides text, it accepts images as input.
- What are the alternatives to Qwen2.5 VL 72B Instruct?
- Models with a similar price from other companies include Aion-2.0, Morph V3 Fast and Hy4 preview. You can compare them side by side on this page.