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The Alibaba team is back with a massive open-weight flagship AI — introducing the Qwen 3.5 series! This 397B parameter model (17B active) is natively multimodal, designed for agents, coding, browsing, and multimodal tasks, and it’s reportedly 19x faster than Qwen3 Max.
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📌 LINKS & RESOURCES
Blog Post: https://qwen.ai/blog?id=qwen3.5
Chatbot: https://chat.qwen.ai/
Kilo: https://kilo.ai/
Github Repo: https://github.com/QwenLM/Qwen3.5
HuggingFace: https://huggingface.co/collections/Qw...
API Platform: https://modelstudio.console.alibabacl...
OpenRouter: https://openrouter.ai/qwen/qwen3.5-39...
In this video, we fully test Qwen 3.5 against top models like Opus 4.5 and Gemini 3 Pro, benchmarking its performance in:
📊 MMLU-Pro (87.8%)
🎥 VideoMME (87.5%)
🖥️ BrowserComp
💻 Agentic Coding (SWE-Bench, Terminal-Bench)
We show live demos, coding tasks, and real-world agent capabilities, proving why Qwen 3.5 is shaping up to be one of the strongest open-source AI models yet.
💡 Whether you’re a developer, AI enthusiast, or just curious about cutting-edge open AI, this video covers it all!
Features Covered:
Full multimodal AI support
Agentic coding & reasoning
Live demos in React + Mapbox and other frameworks
State-of-the-art benchmarks & comparison with Opus 4.5 and Gemini 3 Pro
Open-weight flagship model with real-world deployment potential
Tags (comma-separated)
Qwen 3.5, Alibaba AI, Open Source AI, Multimodal AI, Agentic AI, AI Coding, Opus 4.5 vs Qwen 3.5, Gemini 3 Pro, AI Benchmark, MMLU-Pro, VideoMME, Mapbox Demo, React AI Demo, AI Agent, AI Model Comparison, Large Language Model, LLM, Qwen AI
Hashtags
#Qwen35 #OpenSourceAI #AIModel #MultimodalAI #AgenticAI #AIForDevelopers #Opus45 #Gemini3Pro #LLM #AIBenchmark #AlibabaAI 🚀🤖💻
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