Qwen2.5 VL 72B Instruct
VerifiedExcels at multimodal reasoning combining images and extensive text.
About Qwen2.5 VL 72B Instruct
Built on the Qwen2.5 series, this model extends language capabilities to include visual understanding. It processes combined text and image data seamlessly for integrated analysis. The architecture supports high-resolution image inputs alongside lengthy textual contexts.
Strengths include robust performance in visual question answering and document interpretation. It is well-suited for applications requiring detailed scene description or cross-modal inference. Developers leverage its open weights for fine-tuning on specialized multimodal datasets.
Capabilities
How Qwen2.5 VL 72B Instruct compares
Qwen2.5 VL 72B Instruct (striped bar) vs other multimodal on intelligence, speed and price.
Price
USD per 1M output tokens · Lower is better · Qwen2.5 VL 72B Instruct ranks #36 of 139
Sources: Artificial Analysis (intelligence, speed) · OpenRouter (price).
Best for
Visual Question Answering on Complex Scenes
The model answers detailed questions about images by combining visual recognition with textual reasoning in a single pass.
Document and Chart Analysis
It extracts data, trends, and summaries from charts, tables, and multi-page documents that mix text and visuals.
Long Multimodal Instruction Following
Users can provide extended sequences of images and text up to 131072 tokens for step-by-step visual tasks and reasoning chains.
Strengths & limitations
Strengths
- +Strong integration of vision and language
- +Handles extended contexts reliably
- +Competitive visual reasoning for its size
- +Good multilingual support
Limitations
- –Can hallucinate on complex or ambiguous images
- –High compute demands due to model size
- –Static images only, no native video support
Cost calculator
Estimate what Qwen2.5 VL 72B Instruct would cost for your usage.
Based on Qwen2.5 VL 72B Instruct's $0.80/1M input · $1.00/1M output. Estimate only — actual cost varies by provider and caching.
Quick start
OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. Only the model slug changes between models.
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://openrouter.ai/api/v1",
apiKey: process.env.OPENROUTER_API_KEY,
});
const completion = await client.chat.completions.create({
model: "qwen/qwen2.5-vl-72b-instruct",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(completion.choices[0].message.content);Model slug: qwen/qwen2.5-vl-72b-instruct
Editor's verdict
Qwen2.5 VL 72B Instruct is Alibaba Qwen's open-weight multimodal with a 131K-token context window.
At $1.00 per 1M output tokens, it is mid-priced for its class.
As an open-weight model you can self-host it or call it through a hosted API.
Best suited to strong integration of vision and language and handles extended contexts reliably.
Frequently asked questions
The model handles up to 131072 tokens of combined text and image input.
User reviews
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Other Qwen models
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