![\"Qwen](\"https:\/\/www.onemoremoney.com\/makemoneyonlinewithai\/wp-content\/uploads\/2025\/05\/Qwen3.png\")
<\/a>Despite having just a third of the parameters of DeepSeek-R1, Qwen3 outperforms not only DeepSeek-R1 but also OpenAI\u2019s o1 model<\/strong>, all while slashing compute costs. With its Mixture of Experts (MoE) architecture<\/strong>, 235 billion total parameters<\/strong>, and just 22B active at inference<\/strong>, Qwen3 delivers unprecedented efficiency and capability.<\/p>\n\n\n\n Qwen3 introduces China\u2019s first hybrid reasoning framework<\/strong>, enabling the model to switch between:<\/p>\n\n\n\n This innovative dual-mode system allows Qwen3 to optimize performance and efficiency<\/strong> by allocating compute dynamically based on task complexity.<\/p>\n\n\n\n Backed by a massive 36 trillion-token pretraining corpus<\/strong> and a multi-phase training pipeline, Qwen3 obliterates performance records across multiple benchmarks:<\/p>\n\n\n\n Even more impressive? The full-strength Qwen3 can be deployed with just four H20 GPUs<\/strong>, using one-third the memory footprint<\/strong> of comparable models.<\/p>\n\n\n Alibaba open-sourced eight models<\/strong>, covering both dense and MoE variants:<\/p>\n\n\n\n All models are released under the Apache 2.0 license<\/strong>, making them freely available for commercial use.<\/p>\n\n\n\n Each model achieves state-of-the-art (SOTA)<\/strong> results in its parameter class. For example:<\/p>\n\n\n\n Qwen3 supports 119 languages and dialects<\/strong>, making it one of the most globally inclusive LLMs to date. It excels at:<\/p>\n\n\n\n This opens the door for creating international applications at scale<\/strong>.<\/p>\n\n\n\n Qwen3 isn\u2019t just another chatbot\u2014it\u2019s a next-generation AI agent framework<\/strong>. It excels in:<\/p>\n\n\n\n In BFCL (agent evaluation), it scores 70.8<\/strong>, surpassing even OpenAI\u2019s o1 and Gemini 2.5-Pro. Combined with the Qwen-Agent framework<\/strong>, it simplifies tool integration and drastically reduces the barrier for building powerful AI agents across devices.<\/p>\n\n\n Qwen3\u2019s stellar performance is the result of a multi-stage pretraining and post-training pipeline<\/strong>:<\/p>\n\n\n\n You can use Qwen3 right now<\/strong>, across multiple platforms:<\/p>\n\n\n\n Qwen3 sparked a wildfire across the open-source AI community:<\/p>\n\n\n\n One developer said it best:<\/p>\n\n\n\n “This feels like the DeepSeek moment all over again\u2014except better.”<\/p>\n<\/blockquote>\n\n\n Alibaba\u2019s Qwen3 represents more than technical advancement\u2014it\u2019s a bold statement: Open AI should be powerful, accessible, and multilingual.<\/strong><\/p>\n\n\n\n By combining cutting-edge performance, energy efficiency, and full commercial licensing, Qwen3 is poised to redefine what\u2019s possible in AI development worldwide<\/strong>.<\/p>\n\n\n\n Try Qwen3 now, and see why the open-source AI world is on fire.<\/strong><\/p>\n\n\n\n \ud83d\udc49 Qwen3 GitHub<\/a> | Live Demo<\/a><\/p>\n\n\n\n <\/p>\n","protected":false},"excerpt":{"rendered":" \ud83d\ude80 Midnight Breakthrough: In a dramatic midnight release, Alibaba unveiled its most powerful open-source language model yet\u2014Qwen3. In just two hours, the model racked up over 17,000 GitHub stars, shaking up the AI world and firmly establishing itself as the new global champion of open-source large language models (LLMs). Despite having just a third of the parameters of DeepSeek-R1, Qwen3 outperforms not only DeepSeek-R1 but also OpenAI\u2019s o1 model, all while slashing compute costs. With its Mixture…<\/p>\n","protected":false},"author":1,"featured_media":1782,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"om_disable_all_campaigns":false,"jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[161],"tags":[],"class_list":["post-1778","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-breaking-ai-news"],"aioseo_notices":[],"jetpack_featured_media_url":"https:\/\/www.onemoremoney.com\/makemoneyonlinewithai\/wp-content\/uploads\/2025\/05\/Qwen3.png","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/www.onemoremoney.com\/makemoneyonlinewithai\/wp-json\/wp\/v2\/posts\/1778","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.onemoremoney.com\/makemoneyonlinewithai\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.onemoremoney.com\/makemoneyonlinewithai\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.onemoremoney.com\/makemoneyonlinewithai\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.onemoremoney.com\/makemoneyonlinewithai\/wp-json\/wp\/v2\/comments?post=1778"}],"version-history":[{"count":3,"href":"https:\/\/www.onemoremoney.com\/makemoneyonlinewithai\/wp-json\/wp\/v2\/posts\/1778\/revisions"}],"predecessor-version":[{"id":1785,"href":"https:\/\/www.onemoremoney.com\/makemoneyonlinewithai\/wp-json\/wp\/v2\/posts\/1778\/revisions\/1785"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.onemoremoney.com\/makemoneyonlinewithai\/wp-json\/wp\/v2\/media\/1782"}],"wp:attachment":[{"href":"https:\/\/www.onemoremoney.com\/makemoneyonlinewithai\/wp-json\/wp\/v2\/media?parent=1778"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.onemoremoney.com\/makemoneyonlinewithai\/wp-json\/wp\/v2\/categories?post=1778"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.onemoremoney.com\/makemoneyonlinewithai\/wp-json\/wp\/v2\/tags?post=1778"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}\ud83e\udde0 Hybrid Reasoning: A New Era of AI Thinking<\/h2>\n\n\n\n
\n
\ud83c\udfc6 Crushing Benchmarks, Slashing Costs<\/h2>\n\n\n\n
\n
<\/a>\ud83e\uddec Meet the Qwen3 Family: 8 Models, All Open-Source<\/h2>\n\n\n\n
\n
\n
\ud83c\udf10 Multilingual Mastery<\/h2>\n\n\n\n
\n
\ud83e\udd16 Agent-Ready: Built for the Future<\/h2>\n\n\n\n
\n
<\/a>\ud83d\udd0d Under the Hood: How Qwen3 Was Trained<\/h2>\n\n\n\n
\ud83d\udd04 Pretraining: 36 Trillion Tokens, 3 Stages<\/h3>\n\n\n\n
\n
\ud83d\udee0\ufe0f Post-Training: 4 Phases of Optimization<\/h3>\n\n\n\n
\n
\ud83d\udcbb Instant Access Across Platforms<\/h2>\n\n\n\n
\n
\ud83d\udca1 Local & Cloud Integration<\/h3>\n\n\n\n
\n
\ud83d\udcac Community Reactions: \u201cThe DeepSeek Moment\u201d<\/h2>\n\n\n\n
\n
\n
<\/a>\ud83d\udd1a Final Thoughts: Qwen3 Isn\u2019t Just a Model, It\u2019s a Movement<\/h2>\n\n\n\n