Qwen3 VL Flash is a cutting-edge multimodal vision-language model developed by the Qwen team at Alibaba Cloud. Designed to balance high speed and cost efficiency, it excels in rich visual understanding and multi-step reasoning across text, images, and video data. It offers a powerful yet lightweight solution suitable for deployment on moderate hardware.
vs GPT-5 Multimodal: GPT-5 Multimodal has broader general-language capabilities but Qwen3 VL Flash excels in spatial perception and efficient OCR performance with optimized cost.
vs Imagen 4.0: Imagen 4.0 focuses heavily on generative image synthesis, whereas Qwen3 VL Flash prioritizes multimodal reasoning and practical visual agent tasks, especially in industrial UI automation.
vs Claude Opus 4.1: Claude Opus emphasizes language complexity and coherence; Qwen3 VL Flash distinguishes itself by supporting advanced multimodal spatial understanding and lower-cost deployment.
Measured on the AI/ML API gateway across live traffic. Figures are medians unless stated. Last updated 2026-10-12.
import requests r = requests.post( "https://api.aimlapi.com/v1/chat/completions", headers={"Authorization": "Bearer " + AIMLAPI_KEY}, json={ "model": "alibaba/qwen3-vl-flash", "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-flash", "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-flash","messages":[{"role":"user","content":"Hello!"}]}'
OpenAI-compatible — swap the base URL and it works with your existing SDK.
| Type | Price |
|---|---|
| Input | |
| Output | |
| Cached input |
| Model | Input | Output | Context | Best for |
|---|---|---|---|---|
Qwen3 VL Flash This page | Reasoning + agents | |||
| Reasoning + agents | ||||
| Balanced coding + agents | ||||
| Long-context, multimodal & agentic workflows | ||||
| Reasoning + agents |
Qwen3 VL Flash has a 262,144 tokens context window and can return up to 32,768 tokens.
Qwen3 VL Flash takes image, text as input and returns text.
Use alibaba/qwen3-vl-flash as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.
Qwen3 VL Flash became available on October 19, 2025.
Qwen3 VL Flash is priced at input $0.065 / 1M tokens, output $0.52 / 1M tokens, cached input $0.065 / 1M tokens.
Yes, Qwen3 VL Flash can stream responses as they are generated.
Yes, Qwen3 VL Flash accepts image input alongside text.
Qwen3 VL Flash was built by Alibaba Cloud.
