Alibaba
Qwen3.8 Omni Flash
Total Context
1M
Max Output
131.1K
Released
N/A
qwen3.5-flashQwen3.5 Flash is the efficient entry in the Qwen3.5 native vision-language family. Alibaba’s model list positions Flash as a fast and cost-effective option for simpler tasks, while still inheriting the 3.5 generation’s multimodal direction. It is a practical choice for extraction, routing, lightweight content generation, and high-frequency calls.
Context Window
262.1K tokens
Maximum Output
65.5K tokens
Release Date
Feb 23, 2026
Modalities
| Token Tier | Input Price | Output Price | Cache Create 5m | Cache Read 5m |
|---|---|---|---|---|
| <=128K | $0.0286/M | $0.2857/M | $0.0357/M | $0.0029/M |
| 128K-256K | $0.1143/M | $1.1429/M | $0.1429/M | $0.0114/M |
| >256K | $0.1714/M | $1.7143/M | $0.2143/M | $0.0171/M |
Reasoning
Tool calling
Temperature parameter
Attachments
Knowledge Base
Endpoint Protocols
Qwen3.5 Flash combines fast inference, native multimodal understanding and long-context reasoning for responsive production workloads.
A hybrid linear-attention and sparse MoE architecture is designed to provide fast responses while retaining general text and multimodal performance.
The model accepts text, images and video as input and produces text, enabling mixed-media understanding in one model.
A one-million-token context window supports analysis of extensive documents, long conversations and large collections of mixed inputs.
Qwen3.5 Flash is suited to responsive multimodal assistants, rapid content processing and long-context information review.
Answer customer questions using accompanying screenshots, product images or short videos and return concise text guidance.
Classify, summarize or extract key facts from high volumes of text and visual content for downstream review.
Review large document sets or extended conversation histories, locate relevant details and produce a focused summary.
import OpenAI from "openai"
const client = new OpenAI({
apiKey: process.env.TOKENHUB_API_KEY,
baseURL: "https://us-api.tokenhub.com/v1",
})
const result = await client.chat.completions.create({})
console.log(result.choices[0]?.message?.content)Qwen 3.5 Flash: capabilities, use cases, limits, and TokenHub guidance.
Qwen 3.5 Flash is a Alibaba Qwen model for fast multimodal understanding and high-volume use.
Best for high-volume requests, image and video understanding and general conversation, especially when speed and cost efficiency is the priority.
Key strength: fast multimodal operation while approaching the Plus tier and hybrid thinking that can switch between deliberate and direct responses.
It belongs to an older generation and may lack newer capabilities. For the latest capabilities matter, consider Qwen 3.6 Flash.
Use the exact ID shown by TokenHub; follow your account docs and verify current features.
Use one API key to access Qwen3.5 Flash and more AI models through TokenHub.
Media and Discussions
Selected public videos and posts related to this model.
X (Twitter)
Qwen ·
🚀 Introducing the Qwen 3.5 Medium Model Series Qwen3.5-Flash · Qwen3.5-35B-A3B · Qwen3.5-122B-A10B · Qwen3.5-27B ✨ More intelligence, less compute. • Qwen3.5-35B-A3B now surpasses Qwen3-235B-A22B-2507 and Qwen3-VL-235B-A22B — a reminder that better architecture, data quality, https://t.co/ZWPibMn6at
https://pbs.twimg.com/media/HB8AleUaMAArNyM.jpgView originalAlibaba Cloud ·
Accelerate your AI with native vision-language Flash models. ⚡️ Qwen3.5-flash is now live! Engineered for fast response times and peak performance via hybrid architecture. Start building: https://int.alibabacloud.com/m/1000410215/ #AlibabaCloud #Qwen #Efficiency #CloudComputing #AI #AInnovation https://t.co/FpTyx02Wrz
https://pbs.twimg.com/ext_tw_video_thumb/2026848091643502593/pu/img/WteHF_rwIIeRkIW8.jpgView originalPoe ·
Qwen3.5 Flash is live on Poe! A fast and efficient multimodal model that processes text and images seamlessly. Built with linear attention and a sparse mixture-of-experts architecture, it delivers improved inference efficiency and stronger performance than the 3 series across https://t.co/BrKMYnJtAB
https://pbs.twimg.com/media/HCHspAWakAACa3x.jpgView originalReddit
Qwen3.5 Flash
jake-n-elwood ·
I've been running qwen3.5 flash through openrouter past couple of days. Genuinely impressed for the $0.10/M input tokens $0.40/M output tokens and low latency. 1M context window. It's not going to be a go to for coding but for general inference it's pretty good.
View originalQwen3.5 Flash in Fluent: Web Search, Research, Plan, Automate, and Learn Use Cases
TheMightyHouse ·
View originalQwen3.5 Flash, Qwen3.6 Flash and Qwen3.6 Plus Prompt Caching Not Working
nabil9506 ·
Read full post
I've noticed that Qwen3.5 Flash, Qwen3.6 Flash and Qwen3.6 Plus models don't support prompt caching despite the cache read and creation prices being listed in the Alibaba Cloud provider box. Alibaba is the sole provider for these models and technical documentation states that these models support caching. Is this a bug on openrouter's side or a configuration issue on Alibaba's side? What could be done to resolve the issue? r/openrouter - Qwen3.5 Flash, Qwen3.6 Flash and Qwen3.6 Plus Prompt Caching Not Working (https://preview.redd.it/qwen3-5-flash-qwen3-6-flash-and-qwen3-6-plus-prompt-caching-v0-cfibv175a4yg1.png?width=1629&format=png&auto=webp&s=74f771bec2814700502f9b1ab17d9c68bd9d178b) r/openrouter - Qwen3.5 Flash, Qwen3.6 Flash and Qwen3.6 Plus Prompt Caching Not Working (https://preview.redd.it/qwen3-5-flash-qwen3-6-flash-and-qwen3-6-plus-prompt-caching-v0-xgkf0275a4yg1.png?width=1560&format=png&auto=webp&s=cd634ae6b961636a29bd72a59d90063d9a15f78b) r/openrouter - Qwen3.5 Flash, Qwen3.6 Flash and Qwen3.6 Plus Prompt Caching Not Working (https://preview.redd.it/qwen3-5-flash-qwen3-6-flash-and-qwen3-6-plus-prompt-caching-v0-z0286275a4yg1.png?width=1247&format=png&auto=webp&s=b52e1f4fdc0d54047d51355ce88bc6462257e3c9)
YouTube
Alibaba acaba de soltar esto: Qwen 3.5 Medium destroza a la competencia?
Conciencia Artificial
View originalQwen3.5의 중간 크기 오픈 모델들 122B-A10B, 35B-A3B, 27B 논리,수학,코딩 능력테스트
토목엔지니어 돌종
View originaldeepseek-v4-flash deepseek-v4-pro qwen3.5-flash qwen3.5-plus api
OverlayEmpire2
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