Qwen3 VL Plus is a state-of-the-art multimodal model from the third generation Qwen series, designed to integrate deep understanding of both text and images. It excels at visual question answering, scene description, object recognition, OCR text reading, and reasoning based on visual input, making it ideal for analytics, dialog assistants, and diverse visual scenarios.
vs Gemini 2.5 Flash: Qwen3 VL Plus outperforms Gemini 2.5 Flash on key perception benchmarks and offers broader language and OCR support.
vs Claude Sonnet 4.5: Qwen3-VL-Plus achieves superior visual question answering accuracy and better video temporal localization capabilities.
vs Qwen3 32B: Qwen3 VL Plus provides enhanced multimodal reasoning and substantially longer context windows for complex tasks.
vs Claude Opus 4.1: Claude Opus 4.1 is priced much higher (30x-60x) than Qwen3-VL-Plus and is optimized for conservative multi-file software engineering workflows. Qwen3-VL-Plus offers superior visual question answering, scene analysis, and long video reasoning, making it more versatile for multimodal analytic and dialog assistant scenarios.
Measured on the AI/ML API gateway across live traffic. Figures are medians unless stated. Last updated 2026-10-12.
Document parsing and OCR, including extracting structured data from scanned PDFs, invoices, receipts, contracts, or forms.
Chart and dashboard analysis, including reading charts, graphs, and financial or research visualizations for summaries or data extraction.
Visual agent workflows for GUI-based tasks on desktop and mobile screens.
Long video understanding and analysis, including interpreting visual content across time.
import requests r = requests.post( "https://api.aimlapi.com/v1/chat/completions", headers={"Authorization": "Bearer " + AIMLAPI_KEY}, json={ "model": "alibaba/qwen3-vl-plus", "messages": [ { "role": "user", "content": "Hello!" } ] }, ) print(r.json())
const r = await fetch("https://api.aimlapi.com/v1/chat/completions", { method: "POST", headers: { Authorization: `Bearer ${process.env.AIMLAPI_KEY}`, "Content-Type": "application/json", }, body: JSON.stringify({ "model": "alibaba/qwen3-vl-plus", "messages": [ { "role": "user", "content": "Hello!" } ] }), }); console.log(await r.json());
curl -X POST https://api.aimlapi.com/v1/chat/completions \ -H "Authorization: Bearer $AIMLAPI_KEY" \ -H "Content-Type: application/json" \ -d '{"model":"alibaba/qwen3-vl-plus","messages":[{"role":"user","content":"Hello!"}]}'
OpenAI-compatible — swap the base URL and it works with your existing SDK.
| Type | Price |
|---|---|
| Input | |
| Output | |
| Model | Input | Output | Context | Best for |
|---|---|---|---|---|
Qwen3 VL Plus This page | Reasoning + agents | |||
| Reasoning + agents | ||||
| Balanced coding + agents | ||||
| Long-context, multimodal & agentic workflows | ||||
| Reasoning + agents |
Qwen3 VL Plus has a 262,144 tokens context window and can return up to 32,768 tokens.
Qwen3 VL Plus takes image, text as input and returns text.
Use alibaba/qwen3-vl-plus as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.
Qwen3 VL Plus became available on October 19, 2025.
Qwen3 VL Plus is priced at input $0.26 / 1M tokens, output $2.08 / 1M tokens.
Yes, Qwen3 VL Plus can stream responses as they are generated.
Yes, Qwen3 VL Plus accepts image input alongside text.
Qwen3 VL Plus was built by Alibaba Cloud.
