The Alibaba team is back with the launch of Qwen3, an incredibly powerful open-source hybrid LLM! In this video, I fully test and break down Qwen3’s capabilities — from coding and math to reasoning and multilingual support.
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[Link’s Used]:
Blog Post: https://qwenlm.github.io/blog/qwen3/
Github Repo: https://github.com/QwenLM/Qwen3
Model Card: https://huggingface.co/collections/Qwen/qwen3-67dd247413f0e2e4f653967f
Model Scope: https://modelscope.cn/home
Qwen Chat: https://chat.qwen.ai/
✅ Qwen3-235B competes directly with models like DeepSeek-R1, o1, o3-mini, Grok-3, and Gemini 2.5 Pro.
✅ Hybrid Thinking Mode: Step-by-step reasoning or instant answers.
✅ Only 10% active parameters thanks to MoE architecture = fast and efficient.
✅ Supports 119 languages and delivers stronger agent and coding capabilities.
✅ Trained on 36 trillion tokens — double Qwen2.5’s data!
If Qwen3’s real-world performance holds up (spoiler: it does), this could be one of the most important open-source model releases yet. 🔥
Watch the full breakdown and performance tests now!
Tags:
Qwen3, Qwen 3, Alibaba AI, open source LLM, DeepSeek R1, DeepSeek vs Qwen3, o1 model, o3-mini model, Gemini 2.5 Pro, open weight LLM, best coding model, fast LLM, Mixture of Experts, Qwen3 benchmark, hybrid thinking mode, new LLM 2024, AI model testing, cutting edge AI, powerful AI 2024
Hashtags:
#Qwen3 #opensourceai #DeepSeekR1 #ai #llm #coding #reasoning #technews
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