Qwen3.5-397B-A17B
Qwen3.5-397B-A17B is Alibaba's flagship open-weight MoE model. It features native multimodal reasoning, a 1M context window, and a 19x decoding throughput...
alibabaQwen2026-02-16About Qwen3.5-397B-A17B
Learn about Qwen3.5-397B-A17B's capabilities, features, and how it can help you achieve better results.
A Monumental Leap in Open AI
Qwen3.5-397B-A17B represents a monumental leap in Alibaba Cloud's AI strategy, transitioning from a strong open-source contender to a dominant frontier-level system designed for the agentic AI era. Released on February 16, 2026, it is the flagship of the Qwen3.5 series, utilizing a massive 397-billion-parameter Mixture-of-Experts (MoE) architecture. By activating only 17 billion parameters per token, it achieves an unprecedented 19x decoding throughput boost compared to its predecessor, Qwen3-Max, while narrowing the performance gap with the world's most advanced proprietary models.
Unified Multimodal Powerhouse
The model is a unified, native multimodal powerhouse. Unlike previous versions that required separate vision-language adapters, Qwen3.5 features early-fusion multimodality trained on trillions of multimodal tokens. This allows it to watch and reason over two hours of video content, operate as a GUI agent across desktop and mobile interfaces, and handle complex coding tasks in its specialized Thinking mode. With an expanded vocabulary of 250,000 tokens supporting 201 languages, it stands as the premier global choice for multilingual and multimodal automation.
Architected for the Agentic Era
Beyond simple chat, Qwen3.5-397B is optimized for tool use and autonomous workflows. Its high scores in function-calling benchmarks and instruction following make it an ideal backbone for visual software engineering and PhD-level research. By offering state-of-the-art performance under an Apache 2.0 license, Alibaba has provided the community with a credible, high-efficiency alternative to the most restricted closed-source models.
Use Cases for Qwen3.5-397B-A17B
Discover the different ways you can use Qwen3.5-397B-A17B to achieve great results.
Autonomous GUI Agents
Navigates complex PC and smartphone interfaces to complete multi-step office automation workflows.
Long-Form Video Intelligence
Extracts deep causal reasoning and summaries from continuous video files up to 120 minutes long.
Vibe Coding & Prototyping
Translates UI sketches directly into production-ready React and frontend logic in a single shot.
PhD-Level Research
Solves graduate-level STEM problems using specialized internal chain-of-thought Thinking mode.
Multilingual Global Support
Engages users across 201 languages with superior tokenization efficiency for non-English scripts.
Visual Software Engineering
Transforms wireframes and screenshots into clean, layout-aware HTML, CSS, and JavaScript code.
Strengths
Limitations
API Quick Start
alibaba/qwen-3.5-plus
import OpenAI from 'openai';
const client = new OpenAI({
apiKey: process.env.DASHSCOPE_API_KEY,
baseURL: 'https://dashscope-intl.aliyuncs.com/compatible-mode/v1',
});
async function main() {
const completion = await client.chat.completions.create({
model: 'qwen-3.5-397b-instruct',
messages: [{ role: 'user', content: 'Analyze this 2-hour video context.' }],
extra_body: { enable_thinking: true },
});
console.log(completion.choices[0].message.content);
}
main();Install the SDK and start making API calls in minutes.
What People Are Saying About Qwen3.5-397B-A17B
See what the community thinks about Qwen3.5-397B-A17B
“Qwen3.5-397B is basically the open-source community's answer to GPT-4o. The SVG capability alone is insane for web design.”
“The 19x throughput boost makes Qwen3.5 feel significantly more responsive than any other model of this size I have tested.”
“Apache 2.0 for a model this large is a total game changer for local AI development and privacy-focused enterprises.”
“The MoE routing in the 3.5-397B model is noticeably more intelligent than the previous 2.5 generation; it actually follows logic.”
“The 1M context on an open-weight model of this caliber is unprecedented in the current ecosystem.”
“The video reasoning isn't just frame-by-frame; it's actual temporal understanding that feels miles ahead of current vision LLMs.”
Videos About Qwen3.5-397B-A17B
Watch tutorials, reviews, and discussions about Qwen3.5-397B-A17B
“It beats Claude Opus 4.5 on browser comp as well as Gemini 3 Pro in several multimodal tasks.”
“Reportedly 19 times faster than the Qwen 3 Max which supports 201 languages and dialects.”
“It did a pretty great job with the photorealistic butterfly... better than most open-source models.”
“The 397B model is essentially the first open-weights model to truly compete at the frontier of AGI.”
“Scaling with MoE is clearly working for Alibaba and their latest benchmark results prove it.”
“This model is matching what their Qwen Max was able to do... but it's able to do it with up to a 19x speed boost.”
“The tokenizer has actually gone to a vocab of 250K... matching Gemini and the Google tokenizer.”
“You have to think of the Qwen team as a Frontier Lab... they're jumping into tasks proprietary labs focus on.”
“The tokenization is much more efficient for non-Latin scripts compared to earlier Llama iterations.”
“Thinking mode adds significant latency but the accuracy gain is worth it for coding and reasoning.”
“This is a unified vision language model... where prior models had a specific VL variant, this has everything contained within a single model.”
“Video understanding allows it to catch temporal details that frame-extraction methods miss.”
“In terms of coding, it feels as responsive as the GPT-4o model but with better instruction following.”
“Desktop GUI agent capability is the standout feature here for real-world automation.”
“It handles 120 minutes of video without losing context, which is just massive for analysis.”
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Pro Tips for Qwen3.5-397B-A17B
Expert tips to help you get the most out of Qwen3.5-397B-A17B and achieve better results.
Toggle Thinking Mode
Use the enable_thinking parameter for logic-heavy tasks to activate deep internal reasoning paths.
Leverage Native Search
Enable the search body parameter to verify facts against real-time web data and execute python code.
Optimize Video Prompts
Provide specific timestamp anchors to focus the 1M token context window on the most relevant segments.
Regional Endpoint Selection
Use the dashscope-intl endpoint for users outside mainland China to reduce network latency.
Testimonials
What Our Users Say
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Frequently Asked Questions About Qwen3.5-397B-A17B
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