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<h2 id="models">Models</h2> <p>Alibaba first launched a beta of Qwen in April 2023 under the name <i>Tongyi Qianwen</i>.<a class="footnote-ref" id="fnref:2" href="#fn:2"><sup>2</sup></a> The model's architecture was based on the <a href="/facts/Llama_(language_model)/rmrWj35n">Llama</a> architecture developed by <a href="/facts/Meta_AI/raPFo7MW">Meta AI</a>.<a class="footnote-ref" id="fnref:3" href="#fn:3"><sup>3</sup></a><a class="footnote-ref" id="fnref:4" href="#fn:4"><sup>4</sup></a> It was publicly released in September 2023 after receiving approval from the Chinese government.<a class="footnote-ref" id="fnref:5" href="#fn:5"><sup>5</sup></a> In December 2023 it released its 72B and 1.8B models as open source, while Qwen 7B was open sourced in August.<a class="footnote-ref" id="fnref:6" href="#fn:6"><sup>6</sup></a><a class="footnote-ref" id="fnref:7" href="#fn:7"><sup>7</sup></a> </p><p>In June 2024 Alibaba launched Qwen 2 and in September it released some of its models as <a href="/facts/Open_source/7X9rCdz4">open source</a>, while keeping its most advanced models proprietary.<a class="footnote-ref" id="fnref:8" href="#fn:8"><sup>8</sup></a><a class="footnote-ref" id="fnref:9" href="#fn:9"><sup>9</sup></a> Qwen 2 contains both dense and <a href="/facts/Mixture_of_experts/pryB88QY">sparse</a> models.<a class="footnote-ref" id="fnref:10" href="#fn:10"><sup>10</sup></a> </p><p>In November 2024, QwQ-32B-Preview, a model focusing on reasoning similar to OpenAI's <a href="/facts/OpenAI_o1/VnVU2UhP">o1</a>, was released under the <a href="/facts/Apache_License/5AeIjas8">Apache 2.0 License</a>, although only the weights were released, not the dataset or training method.<a class="footnote-ref" id="fnref:11" href="#fn:11"><sup>11</sup></a><a class="footnote-ref" id="fnref:12" href="#fn:12"><sup>12</sup></a> QwQ has a 32K token context length and performs better than o1 on some benchmarks.<a class="footnote-ref" id="fnref:13" href="#fn:13"><sup>13</sup></a> </p><p>The Qwen-VL series is a line of visual language models that combines a <a href="/facts/Vision_transformer/J7VbF9ae">vision transformer</a> with a LLM.<a class="footnote-ref" id="fnref:14" href="#fn:14"><sup>14</sup></a><a class="footnote-ref" id="fnref:15" href="#fn:15"><sup>15</sup></a> Alibaba released Qwen2-VL with variants of 2 billion and 7 billion parameters.<a class="footnote-ref" id="fnref:16" href="#fn:16"><sup>16</sup></a><a class="footnote-ref" id="fnref:17" href="#fn:17"><sup>17</sup></a><a class="footnote-ref" id="fnref:18" href="#fn:18"><sup>18</sup></a> </p><p>In January 2025, Qwen2.5-VL was released with variants of 3, 7, 32, and 72 billion parameters.<a class="footnote-ref" id="fnref:19" href="#fn:19"><sup>19</sup></a> All models except the 72B variant are licensed under the Apache 2.0 license.<a class="footnote-ref" id="fnref:20" href="#fn:20"><sup>20</sup></a> Qwen-VL-Max is Alibaba's flagship vision model as of 2024 and is sold by <a href="/facts/Alibaba_Cloud/bjsIg9aG">Alibaba Cloud</a> at a cost of US$0.00041 per thousand input tokens.<a class="footnote-ref" id="fnref:21" href="#fn:21"><sup>21</sup></a> </p><p>Alibaba has released several other model types such as Qwen-Audio and Qwen2-Math.<a class="footnote-ref" id="fnref:22" href="#fn:22"><sup>22</sup></a> In total, it has released more than 100 open source models, with its models having been downloaded more than 40 million times.<a class="footnote-ref" id="fnref:23" href="#fn:23"><sup>23</sup></a><a class="footnote-ref" id="fnref:24" href="#fn:24"><sup>24</sup></a> <a href="/facts/Fine-tuning_(deep_learning)/9eRVyFNy">Fine-tuned</a> versions of Qwen have been developed by enthusiasts, such as "Liberated Qwen", developed by San Francisco-based Abacus AI, which is a version that responds to any user request without content restrictions.<a class="footnote-ref" id="fnref:25" href="#fn:25"><sup>25</sup></a> </p><p>In January 2025, Alibaba launched Qwen 2.5-Max. According to a blog post from Alibaba, Qwen 2.5-Max outperforms other foundation models such as GPT-4o, DeepSeek-V3, and Llama-3.1-405B in key benchmarks.<a class="footnote-ref" id="fnref:26" href="#fn:26"><sup>26</sup></a><a class="footnote-ref" id="fnref:27" href="#fn:27"><sup>27</sup></a> In February 2025, Alibaba announced on their official <a href="/facts/Twitter/VWwDNGUm">X</a> account that the 2.5-Max model would be <a href="/facts/Open_source/7X9rCdz4">open-sourced</a>, however it has not been released.<a class="footnote-ref" id="fnref:28" href="#fn:28"><sup>28</sup></a> </p><p>On March 24 2025, Alibaba launched Qwen2.5-VL-32B-Instruct as a successor to the Qwen2.5-VL model. It was released under the Apache 2.0 license.<a class="footnote-ref" id="fnref:29" href="#fn:29"><sup>29</sup></a><a class="footnote-ref" id="fnref:30" href="#fn:30"><sup>30</sup></a> </p><p>On March 26, 2025, Qwen2.5-Omni-7B was released under the Apache 2.0 license and made available through chat.qwen.ai, as well as platforms like <a href="/facts/Hugging_Face/h8kkdUus">Hugging Face</a>, <a href="/facts/GitHub/n1hNCsc3">GitHub</a>, and ModelScope.<a class="footnote-ref" id="fnref:31" href="#fn:31"><sup>31</sup></a> The Qwen2.5-Omni model accepts text, images, videos, and audio as input and can generate both text and audio as output, allowing it to be used for real-time voice chatting, similar to OpenAI's <a href="/facts/GPT-4o/6WnEYHRa">GPT-4o</a>.<a class="footnote-ref" id="fnref:32" href="#fn:32"><sup>32</sup></a> </p><p>On April 28, 2025, the Qwen 3 model family was released,<a class="footnote-ref" id="fnref:33" href="#fn:33"><sup>33</sup></a> with all models licensed under the Apache 2.0 license. The Qwen 3 model family includes both dense (0.6B, 1.7B, 4B, 8B, 14B, and 32B parameters) and <a href="/facts/Mixture_of_experts/pryB88QY">sparse</a> models (30B with 3B activated parameters, 235B with 22B activated parameters). They were trained on 36 trillion tokens in 119 languages and dialects.<a class="footnote-ref" id="fnref:34" href="#fn:34"><sup>34</sup></a> All models except the 0.6B, 1.7B, and 4B variants have a 128K token <a href="/facts/Context_window/WnogWVJY">context window</a>. Like OpenAI's <a href="/facts/OpenAI_o1/VnVU2UhP">o1</a> and QwQ 32B, the Qwen 3 models support <a href="/facts/Reasoning_language_model/n4J9rNes">reasoning</a>, which can be enabled or disabled through the tokenizer. The Qwen 3 models are available through chat.qwen.ai and are open-sourced on <a href="/facts/Hugging_Face/h8kkdUus">Hugging Face</a> and ModelScope.<a class="footnote-ref" id="fnref:35" href="#fn:35"><sup>35</sup></a> </p> List of models<table><tbody><tr><th>Version</th><th>Release date</th><th>ref</th></tr><tr><td>Tongyi Qianwen</td><td>September 2023</td><td><a class="footnote-ref" id="fnref:36" href="#fn:36"><sup>36</sup></a></td></tr><tr><td>Qwen-VL</td><td>August 2023</td><td><a class="footnote-ref" id="fnref:37" href="#fn:37"><sup>37</sup></a></td></tr><tr><td>Qwen2</td><td>June 2024</td><td><a class="footnote-ref" id="fnref:38" href="#fn:38"><sup>38</sup></a></td></tr><tr><td>Qwen2-Audio</td><td>August 2024</td><td><a class="footnote-ref" id="fnref:39" href="#fn:39"><sup>39</sup></a></td></tr><tr><td>Qwen2-VL</td><td>December 2024</td><td><a class="footnote-ref" id="fnref:40" href="#fn:40"><sup>40</sup></a></td></tr><tr><td>Qwen2.5</td><td>September 2024</td><td><a class="footnote-ref" id="fnref:41" href="#fn:41"><sup>41</sup></a></td></tr><tr><td>Qwen2.5-Coder</td><td>November 2024</td><td><a class="footnote-ref" id="fnref:42" href="#fn:42"><sup>42</sup></a></td></tr><tr><td>QvQ</td><td>December 2024</td><td><a class="footnote-ref" id="fnref:43" href="#fn:43"><sup>43</sup></a></td></tr><tr><td>Qwen2.5-VL</td><td>January 2025</td><td><a class="footnote-ref" id="fnref:44" href="#fn:44"><sup>44</sup></a></td></tr><tr><td>QwQ-32B</td><td>March 2025</td><td><a class="footnote-ref" id="fnref:45" href="#fn:45"><sup>45</sup></a></td></tr><tr><td>Qwen2.5-Omni</td><td>March 2025</td><td><a class="footnote-ref" id="fnref:46" href="#fn:46"><sup>46</sup></a></td></tr><tr><td>Qwen3</td><td>April 2025</td><td><a class="footnote-ref" id="fnref:47" href="#fn:47"><sup>47</sup></a></td></tr></tbody></table> <h2 id="external-links">External links</h2> <ul> <li>Free and open-source software portal</li><li>China portal</li></ul> <ul><li><a href="https://chat.qwenlm.ai/">Official website</a></li> <li><a href="https://github.com/QwenLM/Qwen">Qwen</a> on <a href="/facts/GitHub/n1hNCsc3">GitHub</a></li> <li><a href="https://huggingface.co/Qwen">Qwen</a> on <a href="/facts/Hugging_Face/h8kkdUus">Hugging Face</a></li></ul> <h2 id="references">References</h2> <ol> <li id="fn:1"><p>Jiang, Ben (11 July 2024). "Alibaba's open-source AI model tops Chinese rivals, ranks 3rd globally". South China Morning Post. <a href="https://www.scmp.com/tech/big-tech/article/3270079/alibabas-ai-model-outperforms-chinese-rivals-ranks-just-behind-openai-anthropic" target="_blank">https://www.scmp.com/tech/big-tech/article/3270079/alibabas-ai-model-outperforms-chinese-rivals-ranks-just-behind-openai-anthropic</a> <a href="#fnref:1" class="footnote-back-ref">↩</a></p></li> <li id="fn:2"><p>Chiang, Sheila (11 April 2023). "Alibaba to roll out its rival to ChatGPT across all its products". CNBC. <a href="https://www.cnbc.com/2023/04/11/alibaba-to-roll-out-its-rival-to-chatgpt-across-all-its-products.html" target="_blank">https://www.cnbc.com/2023/04/11/alibaba-to-roll-out-its-rival-to-chatgpt-across-all-its-products.html</a> <a href="#fnref:2" class="footnote-back-ref">↩</a></p></li> <li id="fn:3"><p>Bai, Jinze; et al. (28 Sep 2023). "Qwen Technical Report". arXiv:2309.16609 [cs.CL]. <a href="/wiki/ArXiv_(identifier)" target="_blank">/wiki/ArXiv_(identifier)</a> <a href="#fnref:3" class="footnote-back-ref">↩</a></p></li> <li id="fn:4"><p>"Qwen/techmemo-draft.md". GitHub. August 3, 2023. <a href="https://github.com/QwenLM/Qwen/blob/ba2d85a13b28ed1ee0dde2d6c3e4d5a55dc5964c/techmemo-draft.md" target="_blank">https://github.com/QwenLM/Qwen/blob/ba2d85a13b28ed1ee0dde2d6c3e4d5a55dc5964c/techmemo-draft.md</a> <a href="#fnref:4" class="footnote-back-ref">↩</a></p></li> <li id="fn:5"><p>Jiang, Ben (13 September 2023). "Alibaba opens Tongyi Qianwen model to public as new CEO embraces AI". South China Morning Post. <a href="https://www.scmp.com/tech/big-tech/article/3234385/alibaba-opens-ai-model-tongyi-qianwen-public-competition-baidu-tencent-and-other-chinese-big-tech" target="_blank">https://www.scmp.com/tech/big-tech/article/3234385/alibaba-opens-ai-model-tongyi-qianwen-public-competition-baidu-tencent-and-other-chinese-big-tech</a> <a href="#fnref:5" class="footnote-back-ref">↩</a></p></li> <li id="fn:6"><p>Fan, Feifei (2023-12-01). "Alibaba unveils new Tongyi Qianwen AI language model". global.chinadaily.com.cn. <a href="https://global.chinadaily.com.cn/a/202312/01/WS6569d3eca31090682a5f1046.html" target="_blank">https://global.chinadaily.com.cn/a/202312/01/WS6569d3eca31090682a5f1046.html</a> <a href="#fnref:6" class="footnote-back-ref">↩</a></p></li> <li id="fn:7"><p>Ye, Josh (August 3, 2023). "Alibaba rolls out open-sourced AI model to take on Meta's Llama 2". reuters. <a href="https://www.reuters.com/technology/alibaba-unveils-open-sourced-ai-model-similar-metas-llama-2-2023-08-03/" target="_blank">https://www.reuters.com/technology/alibaba-unveils-open-sourced-ai-model-similar-metas-llama-2-2023-08-03/</a> <a href="#fnref:7" class="footnote-back-ref">↩</a></p></li> <li id="fn:8"><p>Jiang, Ben (7 June 2024). "Alibaba says new AI model Qwen2 bests Meta's Llama 3 in tasks like maths and coding". South China Morning Post. <a href="https://www.scmp.com/tech/big-tech/article/3265845/alibaba-says-new-ai-model-qwen2-bests-metas-llama-3-tasks-maths-and-coding" target="_blank">https://www.scmp.com/tech/big-tech/article/3265845/alibaba-says-new-ai-model-qwen2-bests-metas-llama-3-tasks-maths-and-coding</a> <a href="#fnref:8" class="footnote-back-ref">↩</a></p></li> <li id="fn:9"><p>Kharpal, Arjun (19 September 2024). 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VentureBeat. <a href="https://venturebeat.com/ai/alibaba-releases-qwen-with-questions-an-open-reasoning-model-that-beats-o1-preview/" target="_blank">https://venturebeat.com/ai/alibaba-releases-qwen-with-questions-an-open-reasoning-model-that-beats-o1-preview/</a> <a href="#fnref:11" class="footnote-back-ref">↩</a></p></li> <li id="fn:12"><p>故渊 (2024-11-28). "阿里通义千问 QwQ 登场：开源 AI 推理新王，MATH 测试超 OpenAI o1 模型 - IT之家". www.ithome.com. <a href="https://www.ithome.com/0/813/799.htm" target="_blank">https://www.ithome.com/0/813/799.htm</a> <a href="#fnref:12" class="footnote-back-ref">↩</a></p></li> <li id="fn:13"><p>Wiggers, Kyle (27 November 2024). "Alibaba releases an 'open' challenger to OpenAI's o1 reasoning model". TechCrunch. <a href="https://techcrunch.com/2024/11/27/alibaba-releases-an-open-challenger-to-openais-o1-reasoning-model/" target="_blank">https://techcrunch.com/2024/11/27/alibaba-releases-an-open-challenger-to-openais-o1-reasoning-model/</a> <a href="#fnref:13" class="footnote-back-ref">↩</a></p></li> <li id="fn:14"><p>Bai, Jinze; et al. (28 Sep 2023). "Qwen Technical Report". arXiv:2309.16609 [cs.CL]. <a href="/wiki/ArXiv_(identifier)" target="_blank">/wiki/ArXiv_(identifier)</a> <a href="#fnref:14" class="footnote-back-ref">↩</a></p></li> <li id="fn:15"><p>Browne, Ryan (31 December 2024). "Alibaba slashes prices on large language models by up to 85% as China AI rivalry heats up". 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