{"id":30885,"date":"2026-04-14T17:13:33","date_gmt":"2026-04-14T09:13:33","guid":{"rendered":"http:\/\/139.9.1.231\/?p=30885"},"modified":"2026-07-11T14:46:00","modified_gmt":"2026-07-11T06:46:00","slug":"qwen3-5-omni","status":"publish","type":"post","link":"http:\/\/139.9.1.231\/index.php\/2026\/04\/14\/qwen3-5-omni\/","title":{"rendered":"Qwen3.5-Omni\uff1a\u65b0\u4e00\u4ee3\u5927\u89c4\u6a21\u539f\u751f\u5168\u6a21\u6001\u5927\u6a21\u578b"},"content":{"rendered":"\n<p><strong>Qwen3.5-Omni<\/strong>&nbsp;\u662f Qwen \u6700\u65b0\u4e00\u4ee3\u5168\u6a21\u6001\u5927\u6a21\u578b\uff0c\u652f\u6301\u6587\u672c\u3001\u56fe\u7247\u3001\u97f3\u9891\u3001\u97f3\u89c6\u9891\u7406\u89e3\u3002\u7ed3\u6784\u4e0a\uff0cQwen3.5-Omni \u7684 Thinker \u4e0e Talker \u5747\u91c7\u7528 Hybrid-Attention MoE \u67b6\u6784\u3002Qwen3.5-Omni \u7cfb\u5217\u5305\u542b Plus\u3001Flash\u3001Light \u4e09\u79cd\u5c3a\u5bf8\u7684 Instruct \u7248\u672c\uff0c\u652f\u6301 256k \u957f\u4e0a\u4e0b\u6587\uff0c\u6a21\u578b\u652f\u6301\u8d85\u8fc7 10 \u5c0f\u65f6\u7684\u97f3\u9891\u8f93\u5165\u53ca\u8d85\u8fc7 400 \u79d2\u7684 720P\uff081 FPS\uff09\u97f3\u89c6\u9891\u8f93\u5165\u3002\u6a21\u578b\u5728\u6d77\u91cf\u6587\u672c\u3001\u89c6\u89c9\u4ee5\u53ca\u8d85\u8fc7 1 \u4ebf\u5c0f\u65f6\u7684\u97f3\u89c6\u9891\u6570\u636e\u4e0a\u8fdb\u884c\u539f\u751f\u591a\u6a21\u6001\u9884\u8bad\u7ec3\uff0c\u8be5\u6a21\u578b\u5c55\u73b0\u51fa\u5353\u8d8a\u7684\u5168\u6a21\u6001\u611f\u77e5\u4e0e\u751f\u6210\u80fd\u529b\u3002\u76f8\u6bd4 Qwen3-Omni\uff0cQwen3.5-Omni \u591a\u8bed\u8a00\u80fd\u529b\u5927\u5927\u589e\u5f3a\uff0c\u80fd\u591f\u652f\u6301 113 \u79cd\u8bed\u79cd\u548c\u65b9\u8a00\u7684\u8bed\u97f3\u8bc6\u522b\u548c 36 \u79cd\u8bed\u79cd\u548c\u65b9\u8a00\u7684\u8bed\u97f3\u751f\u6210\u3002<\/p>\n\n\n\n<ul class=\"has-dark-gray-color has-light-pink-background-color has-text-color has-background\"><li><strong>\u8bba\u6587\u6807\u9898: Qwen3.5-Omni Technical Report<\/strong><\/li><li><strong>\u8bba\u6587\u94fe\u63a5: <a rel=\"noreferrer noopener\" href=\"https:\/\/arxiv.org\/abs\/2604.15804v1\" target=\"_blank\">https:\/\/arxiv.org\/abs\/2604.15804v1<\/a><\/strong><\/li><li><strong>\u4ee3\u7801\u94fe\u63a5: <a rel=\"noreferrer noopener\" href=\"https:\/\/modelscope.cn\/studios\/Qwen\/Qwen3.5-Omni-Demo\" target=\"_blank\">https:\/\/modelscope.cn\/studios\/Qwen\/Qwen3.5-Omni-Demo<\/a><\/strong><\/li><\/ul>\n\n\n\n\n\n<p><strong>Qwen3.5-Omni<\/strong>&nbsp;\u5ef6\u7eed\u91c7\u7528 Thinker-Talker \u67b6\u6784\uff0cThinker \u901a\u8fc7 Vision Encoder \u548c AuT \u63a5\u53d7\u89c6\u89c9\u548c\u97f3\u9891\u4fe1\u53f7\u8f93\u5165\uff0c\u97f3\u89c6\u9891\u4fe1\u53f7\u901a\u8fc7 interleave \u4ea4\u7ec7\u5e76\u642d\u914d TMRoPE \u7f16\u7801\u4f4d\u7f6e\u4fe1\u606f\u3002Thinker \u8d1f\u8d23\u5904\u7406\u5168\u6a21\u6001\u4fe1\u53f7\u5e76\u8f93\u51fa\u6587\u672c\uff0cTalker \u8d1f\u8d23\u63a5\u6536\u6765\u81ea Thinker \u7684\u591a\u6a21\u6001\u8f93\u5165\u4ee5\u53ca\u6587\u672c\u8f93\u51fa\uff0c\u8fdb\u884c contextual \u8bed\u97f3\u751f\u6210\uff0c\u8bed\u97f3\u8868\u5f81\u901a\u8fc7 Qwen3-Omni \u63d0\u51fa\u7684 RVQ \u7f16\u7801\u6765\u66ff\u4ee3\u7e41\u91cd\u7684 DiT \u8fd0\u7b97\u3002\u7531\u4e8e chunk-wise \u7684\u6d41\u5f0f\u8f93\u5165\u8bbe\u8ba1\u548c\u6d41\u5f0f Talker \u8bbe\u8ba1\uff0c\u6574\u4e2a\u6a21\u578b\u53ef\u4ee5\u8fdb\u884c realtime interaction\u3002\u4e0d\u540c\u4e8e\u4e0a\u4e00\u4ee3 Qwen3-Omni \u7684\u53cc\u8f68 Talker \u8f93\u5165\uff0c<strong>Talker \u5728\u8f93\u5165\u7684\u7ec4\u7ec7\u65b9\u5f0f\u4e0a\u91c7\u7528\u4e86 ARIA\uff08\u81ea\u9002\u5e94\u901f\u7387\u4ea4\u9519\u5bf9\u9f50\uff0cAdaptive Rate Interleave Alignment\uff09\u6765\u52a8\u6001\u5bf9\u9f50\u6587\u672c\u4e0e\u8bed\u97f3\u5355\u5143\uff0c\u7136\u540e\u8fdb\u884c\u4ea4\u9519\u6392\u5e03<\/strong>\uff0c\u4ee5\u907f\u514d\u7531\u4e8e\u6587\u672c\u4e0e\u8bed\u97f3 Token \u7f16\u7801\u6548\u7387\u5dee\u5f02\u5bfc\u81f4\u7684\u8bed\u97f3\u4e0d\u7a33\u5b9a\u6027\uff0c\u5982\u6f0f\u8bfb\u3001\u8bef\u8bfb\u6216\u6570\u5b57\u53d1\u97f3\u6a21\u7cca\u7b49\u95ee\u9898\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" width=\"1024\" height=\"760\" src=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2026\/03\/model-1024x760.jpg\" alt=\"\" class=\"wp-image-30889\" srcset=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2026\/03\/model-1024x760.jpg 1024w, http:\/\/139.9.1.231\/wp-content\/uploads\/2026\/03\/model-300x223.jpg 300w, http:\/\/139.9.1.231\/wp-content\/uploads\/2026\/03\/model-768x570.jpg 768w, http:\/\/139.9.1.231\/wp-content\/uploads\/2026\/03\/model-1536x1140.jpg 1536w, http:\/\/139.9.1.231\/wp-content\/uploads\/2026\/03\/model-2048x1520.jpg 2048w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p>\u8bba\u6587\u6700\u91cd\u8981\u7684\u7ed3\u8bba\u53ef\u4ee5\u6982\u62ec\u4e3a\u4e09\u70b9\uff1a\u7b2c\u4e00\uff0c\u6a21\u578b\u89c4\u6a21\u6269\u5c55\u5230\u6570\u5343\u4ebf\u53c2\u6570\u7ea7\uff0c\u5e76\u652f\u6301 256k \u4e0a\u4e0b\u6587\uff1b\u7b2c\u4e8c\uff0c\u8bad\u7ec3\u4f7f\u7528\u4e86\u5f02\u6784\u56fe\u6587\u6570\u636e\u548c\u8d85\u8fc7 1 \u4ebf\u5c0f\u65f6\u7684\u97f3\u89c6\u9891\u6570\u636e\uff1b\u7b2c\u4e09\uff0cQwen3.5-Omni-Plus \u5728 215 \u4e2a\u97f3\u9891\u4e0e\u97f3\u89c6\u9891\u7406\u89e3\u3001\u63a8\u7406\u3001\u4ea4\u4e92\u5b50\u4efb\u52a1\u4e0a\u8fbe\u5230\u5f3a\u7ade\u4e89\u529b\uff0c\u5c24\u5176\u5728\u97f3\u9891\u7406\u89e3\u3001ASR\u3001\u8bed\u97f3\u7ffb\u8bd1\u548c\u8bed\u97f3\u751f\u6210\u4e0a\u8868\u73b0\u7a81\u51fa\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" width=\"1024\" height=\"647\" src=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2026\/07\/image-20-1024x647.png\" alt=\"\" class=\"wp-image-31366\" srcset=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2026\/07\/image-20-1024x647.png 1024w, http:\/\/139.9.1.231\/wp-content\/uploads\/2026\/07\/image-20-300x190.png 300w, http:\/\/139.9.1.231\/wp-content\/uploads\/2026\/07\/image-20-768x486.png 768w, http:\/\/139.9.1.231\/wp-content\/uploads\/2026\/07\/image-20.png 1150w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<h2>1. \u6a21\u578b\u5b9a\u4f4d\uff1a\u4ece\u591a\u6a21\u6001\u7406\u89e3\u8d70\u5411\u5168\u6a21\u6001\u4ea4\u4e92<\/h2>\n\n\n\n<p>Qwen3.5-Omni \u5904\u7406\u7684\u8f93\u5165\u5305\u62ec\u6587\u672c\u3001\u56fe\u50cf\u3001\u97f3\u9891\u3001\u65e0\u58f0\u89c6\u9891\u548c\u5e26\u97f3\u9891\u7684\u89c6\u9891\uff0c\u8f93\u51fa\u5219\u8986\u76d6\u6587\u672c\u548c\u6d41\u5f0f\u8bed\u97f3\u3002\u8bba\u6587\u5f3a\u8c03\u5b83\u662f\u201cnative omni agent model\u201d\uff1a\u6a21\u578b\u4e0d\u4ec5\u80fd\u611f\u77e5\u548c\u56de\u7b54\uff0c\u8fd8\u80fd\u8fdb\u884c WebSearch\u3001FunctionCall\u3001\u5b9e\u65f6\u8bed\u97f3\u4ea4\u4e92\u548c Audio-Visual Vibe Coding\uff0c\u4e5f\u5c31\u662f\u4ece\u97f3\u89c6\u9891\u6307\u4ee4\u4e2d\u76f4\u63a5\u751f\u6210\u53ef\u6267\u884c\u4ee3\u7801\u3002<\/p>\n\n\n\n<p>\u4ece\u8f93\u5165\u5efa\u6a21\u4e0a\u770b\uff0c\u4e0d\u540c\u6a21\u6001\u4f1a\u88ab\u8f6c\u6362\u4e3a\u7edf\u4e00 token \u5e8f\u5217\u3002\u53ef\u4ee5\u628a\u5b83\u62bd\u8c61\u4e3a\uff1a<\/p>\n\n\n\n\\(\nX = [x_{\\mathrm{text}};\\ f_{\\mathrm{audio}}(a);\\ f_{\\mathrm{vision}}(v)]\n\\)\n\n\n\n<p>\u5176\u4e2d \\(f_{\\mathrm{audio}}\\) \u662f AuT \u97f3\u9891\u7f16\u7801\u5668\uff0c\\(f_{\\mathrm{vision}}\\) \u662f\u89c6\u89c9\u7f16\u7801\u5668\uff0cThinker \u5728\u7edf\u4e00\u5e8f\u5217\u4e0a\u751f\u6210\u6587\u672c\u7ea7\u9ad8\u5c42\u8868\u793a\uff0cTalker \u518d\u57fa\u4e8e Thinker \u7684\u8f93\u51fa\u751f\u6210\u6d41\u5f0f\u8bed\u97f3 token\u3002<\/p>\n\n\n\n<h2>2. \u6a21\u578b\u8bbe\u8ba1\uff1aThinker-Talker + Hybrid MoE<\/h2>\n\n\n\n<p>Qwen3.5-Omni \u5ef6\u7eed Qwen2.5-Omni \u548c Qwen3-Omni \u7684 Thinker-Talker \u67b6\u6784\uff0c\u4f46\u5728\u53ef\u6269\u5c55\u6027\u3001\u957f\u4e0a\u4e0b\u6587\u548c\u6d41\u5f0f\u8bed\u97f3\u4e0a\u505a\u4e86\u660e\u663e\u5347\u7ea7\u3002<\/p>\n\n\n\n<ul><li><strong>Thinker<\/strong>\uff1a\u8d1f\u8d23\u6587\u672c\u751f\u6210\u548c\u8de8\u6a21\u6001\u7406\u89e3\u3002\u5b83\u63a5\u6536\u6587\u672c\u3001\u97f3\u9891\u3001\u56fe\u50cf\u3001\u89c6\u9891\u7684\u7edf\u4e00\u8868\u793a\uff0c\u5e76\u652f\u6301 chunk-wise streaming input processing\u3002<\/li><li><strong>Talker<\/strong>\uff1a\u8d1f\u8d23\u8bed\u97f3\u751f\u6210\u3002\u5b83\u63a5\u6536 Thinker \u7684\u9ad8\u5c42\u8868\u793a\u548c\u5f53\u524d\u8f6e\u6587\u672c\u8f93\u51fa\uff0c\u751f\u6210 RVQ codec token\uff0c\u518d\u7531 Code2Wav \u6e32\u67d3\u4e3a\u6ce2\u5f62\u3002<\/li><li><strong>Hybrid Attention MoE<\/strong>\uff1aThinker \u548c Talker \u90fd\u91c7\u7528 Hybrid MoE Transformer\u3002\u8bba\u6587\u7279\u522b\u63d0\u5230\u5176\u4e2d\u7684 Gated Delta Net \u6709\u52a9\u4e8e\u957f\u97f3\u89c6\u9891\u5e8f\u5217\u5efa\u6a21\uff0c\u964d\u4f4e KV-cache I\/O \u538b\u529b\uff0c\u63d0\u9ad8\u541e\u5410\u548c\u5e76\u53d1\u3002<\/li><li><strong>\u957f\u4e0a\u4e0b\u6587\u80fd\u529b<\/strong>\uff1a\u6a21\u578b\u8f93\u5165\u652f\u6301 256k token\uff0c\u7ea6\u7b49\u4ef7\u4e8e\u8d85\u8fc7 10 \u5c0f\u65f6\u97f3\u9891\uff0c\u6216 400 \u79d2 720P \u89c6\u9891\uff081 FPS\uff09\u3002<\/li><\/ul>\n\n\n\n<p>\u5728\u611f\u77e5\u7aef\uff0c\u6587\u672c\u4f7f\u7528 Qwen3.5 tokenizer\uff0c\u8bcd\u8868\u4ece 150k \u6269\u5230 250k\uff0c\u8bba\u6587\u79f0\u591a\u6570\u8bed\u8a00\u7684\u7f16\u89e3\u7801\u6548\u7387\u63d0\u5347 10% \u5230 60%\u3002\u97f3\u9891\u88ab\u91cd\u91c7\u6837\u5230 16kHz\uff0c\u8f6c\u6210 128 \u901a\u9053 Mel \u9891\u8c31\uff0c\u4f7f\u7528 25ms \u7a97\u53e3\u548c 10ms hop\u3002AuT \u97f3\u9891\u7f16\u7801\u5668\u4ece\u5934\u8bad\u7ec3\uff0c\u4f7f\u7528 40M \u5c0f\u65f6\u97f3\u9891\u6587\u672c\u5bf9\uff0c\u7ecf\u8fc7 4 \u4e2a Conv2D block \u4e0b\u91c7\u6837 16 \u500d\uff0c\u8f93\u51fa\u7ea6 6.25Hz \u7684\u97f3\u9891 token\uff0c\u4e5f\u5c31\u662f\u6bcf\u4e2a\u8f93\u51fa\u5e27\u7ea6\u5bf9\u5e94 160ms \u539f\u59cb\u97f3\u9891\u3002<\/p>\n\n\n\n<p>\u5728\u89c6\u9891\u548c\u97f3\u89c6\u9891\u540c\u6b65\u4e0a\uff0c\u8bba\u6587\u4e0d\u518d\u53ea\u4f9d\u8d56\u7a00\u758f\u7684\u7edd\u5bf9\u65f6\u95f4\u4f4d\u7f6e ID\uff0c\u800c\u662f\u5728\u6bcf\u4e2a\u89c6\u9891\u6216\u97f3\u89c6\u9891 temporal patch \u524d\u63d2\u5165\u79d2\u7ea7 timestamp \u6587\u672c\uff0c\u5e76\u5728\u97f3\u9891\u5e8f\u5217\u4e2d\u968f\u673a\u63d2\u5165 timestamp\u3002\u8fd9\u4f1a\u7565\u5fae\u589e\u52a0\u4e0a\u4e0b\u6587\u957f\u5ea6\uff0c\u4f46\u80fd\u8ba9\u6a21\u578b\u66f4\u81ea\u7136\u5730\u5b66\u4e60\u65f6\u95f4\u7801\uff0c\u5c24\u5176\u9002\u5408\u957f\u89c6\u9891\u548c\u957f\u97f3\u9891\u573a\u666f\u3002<\/p>\n\n\n\n<h2>3. ARIA\uff1a\u89e3\u51b3\u6d41\u5f0f\u8bed\u97f3\u4e2d\u7684\u6587\u672c-\u8bed\u97f3\u901f\u7387\u9519\u914d<\/h2>\n\n\n\n<p>\u8bba\u6587\u4e2d\u6700\u503c\u5f97\u5173\u6ce8\u7684\u521b\u65b0\u4e4b\u4e00\u662f ARIA\uff08Adaptive Rate Interleave Alignment\uff09\u3002\u5728\u6d41\u5f0f\u8bed\u97f3\u751f\u6210\u4e2d\uff0c\u6587\u672c token \u548c\u8bed\u97f3 codec token \u7684\u7f16\u7801\u6548\u7387\u4e0d\u540c\u3002\u5982\u679c\u4e8c\u8005\u5bf9\u9f50\u4e0d\u597d\uff0c\u5c31\u5bb9\u6613\u51fa\u73b0\u8df3\u8bcd\u3001\u53d1\u97f3\u9519\u8bef\u3001\u6570\u5b57\u8bfb\u6cd5\u6df7\u4e71\u3001\u8bed\u97f3\u4e0d\u81ea\u7136\u7b49\u95ee\u9898\u3002<\/p>\n\n\n\n<p>Qwen3.5-Omni \u4e0d\u518d\u91c7\u7528\u56fa\u5b9a interleaving \u901f\u7387\uff0c\u4e5f\u4e0d\u4f9d\u8d56 MFA \u8fd9\u7c7b\u5916\u90e8\u5bf9\u9f50\uff0c\u800c\u662f\u628a\u6587\u672c\u548c\u8bed\u97f3 token \u7edf\u4e00\u5230\u4e00\u4e2a\u5355\u901a\u9053\u4ea4\u9519\u5e8f\u5217\u4e2d\uff0c\u5e76\u65bd\u52a0\u81ea\u9002\u5e94\u901f\u7387\u7ea6\u675f\u3002\u53ef\u7b80\u5316\u8868\u793a\u4e3a\uff1a<\/p>\n\n\n\n\\(\n\\frac{N_{\\mathrm{speech}}(y_{\\le t})}{N_{\\mathrm{text}}(y_{\\le t})}\n\\le\n\\frac{N_{\\mathrm{speech}}(y)}{N_{\\mathrm{text}}(y)}\n\\)\n\n\n\n<p>\u8fd9\u91cc \\(y_{\\le t}\\) \u8868\u793a\u5f53\u524d\u751f\u6210\u524d\u7f00\uff0c\\(N_{\\mathrm{speech}}\\) \u548c \\(N_{\\mathrm{text}}\\) \u5206\u522b\u8868\u793a\u524d\u7f00\u4e2d\u7684\u8bed\u97f3 token \u6570\u548c\u6587\u672c token \u6570\u3002\u76f4\u89c2\u7406\u89e3\u662f\uff1a\u4efb\u4f55\u524d\u7f00\u4e2d\u7684\u8bed\u97f3\u751f\u6210\u8fdb\u5ea6\u90fd\u4e0d\u80fd\u8dd1\u5f97\u6bd4\u8be5\u6837\u672c\u6574\u4f53\u6587\u672c-\u8bed\u97f3\u6bd4\u4f8b\u66f4\u5feb\u3002\u8fd9\u6837\u65e2\u4fdd\u7559\u6d41\u5f0f\u8f93\u51fa\uff0c\u53c8\u51cf\u5c11\u53cc\u8f68\u540c\u6b65\u5f00\u9500\u3002<\/p>\n\n\n\n<p>Talker \u7684\u8bed\u97f3 codec \u91c7\u7528 RVQ \u591a\u7801\u672c\u8868\u793a\uff0c\u5e76\u901a\u8fc7 MTP \u6a21\u5757\u9884\u6d4b\u5f53\u524d\u5e27\u7684\u6b8b\u5dee\u7801\u672c\u3002\u53ef\u4ee5\u62bd\u8c61\u4e3a\uff1a<\/p>\n\n\n\n\\(\nP(c_t^1,\\ldots,c_t^K \\mid c_{&lt;t}, h)\n=\n\\prod_{k=1}^{K} P(c_t^k \\mid c_t^{&lt;k}, c_{&lt;t}, h)\n\\)\n\n\n\n<p>\u5176\u4e2d \\(h\\) \u662f Thinker \u63d0\u4f9b\u7684\u4e0a\u4e0b\u6587\u8868\u793a\uff0c\\(c_t^k\\) \u662f\u7b2c \\(t\\) \u5e27\u7b2c \\(k\\) \u4e2a codec codebook token\u3002\u968f\u540e causal ConvNet \u9010\u5e27\u628a codec token \u8f6c\u4e3a\u6ce2\u5f62\uff0c\u4ece\u800c\u652f\u6301\u4f4e\u5ef6\u8fdf\u6d41\u5f0f\u5408\u6210\u3002<\/p>\n\n\n\n<h2>4. \u6570\u636e\u4e0e\u8bad\u7ec3\u6d41\u7a0b<\/h2>\n\n\n\n<p>Qwen3.5-Omni \u7684\u8bad\u7ec3\u8986\u76d6\u7eaf\u6587\u672c\u3001\u56fe\u6587\u3001\u89c6\u9891\u6587\u672c\u3001\u97f3\u9891\u6587\u672c\u3001\u89c6\u9891\u97f3\u9891\u548c\u89c6\u9891\u97f3\u9891\u6587\u672c\u7b49\u6570\u636e\u3002\u8bba\u6587\u62ab\u9732\u4e86\u51e0\u4e2a\u5173\u952e\u89c4\u6a21\uff1a<\/p>\n\n\n\n<ul><li>\u603b\u4f53\u4f7f\u7528\u8d85\u8fc7 1 \u4ebf\u5c0f\u65f6\u97f3\u89c6\u9891\u5185\u5bb9\u3002<\/li><li>AuT \u97f3\u9891\u7f16\u7801\u5668\u4f7f\u7528 40M \u5c0f\u65f6\u97f3\u9891\u6587\u672c\u5bf9\u8bad\u7ec3\uff0c\u7531 Qwen3-ASR \u751f\u6210\u76d1\u7763\u4fe1\u53f7\u3002<\/li><li>Talker \u521d\u59cb\u9636\u6bb5\u4f7f\u7528\u8d85\u8fc7 20M \u5c0f\u65f6\u591a\u8bed\u8a00\u8bed\u97f3\u6570\u636e\uff0c\u5e76\u914d\u5408\u591a\u6a21\u6001\u4e0a\u4e0b\u6587\u3002<\/li><li>\u7b2c\u4e8c\u9636\u6bb5\u9884\u8bad\u7ec3\u4f7f\u7528\u7ea6 4T token\uff0c\u5176\u4e2d text 0.92T\u3001audio 1.99T\u3001image 0.95T\u3001video 0.14T\u3001video-audio 0.29T\u3002<\/li><li>\u652f\u6301\u8303\u56f4\uff1a\u6587\u672c 201 \u79cd\u8bed\u8a00\/\u53d8\u4f53\uff0c\u8bed\u97f3\u8f93\u5165 113 \u79cd\u8bed\u8a00\/\u65b9\u8a00\uff0c\u8bed\u97f3\u8f93\u51fa 36 \u79cd\u8bed\u8a00\/\u65b9\u8a00\u3002<\/li><\/ul>\n\n\n\n<p>\u9884\u8bad\u7ec3\u5206\u4e3a\u4e09\u9636\u6bb5\u3002S1 \u662f Encoder Alignment\uff0c\u51bb\u7ed3 LLM\uff0c\u5206\u522b\u8bad\u7ec3\u89c6\u89c9\u548c\u97f3\u9891\u7f16\u7801\u5668\u53ca adapter\uff1bS2 \u662f General Stage\uff0c\u89e3\u51bb\u6240\u6709\u53c2\u6570\uff0c\u7528\u591a\u6a21\u6001\u6df7\u5408\u6570\u636e\u8bad\u7ec3\uff0c\u5e8f\u5217\u957f\u5ea6\u4e3a 32,768\uff1bS3 \u662f Long Context Stage\uff0c\u628a\u6700\u5927\u957f\u5ea6\u63d0\u5347\u5230 262,144\uff0c\u5e76\u63d0\u9ad8\u957f\u97f3\u9891\u3001\u957f\u89c6\u9891\u5360\u6bd4\u3002<\/p>\n\n\n\n<p>\u540e\u8bad\u7ec3\u4e5f\u5206 Thinker \u548c Talker\u3002Thinker \u4f7f\u7528\u4e09\u9636\u6bb5\u7b56\u7565\uff1a\u4e13\u95e8\u6559\u5e08\u6a21\u578b\u84b8\u998f\u3001on-policy distillation\uff0c\u4ee5\u53ca\u9762\u5411\u591a\u8f6e\u4ea4\u4e92\u7684\u5f3a\u5316\u5b66\u4e60\u3002Talker \u4f7f\u7528\u56db\u9636\u6bb5\u7b56\u7565\uff1a\u901a\u7528\u8bad\u7ec3\u3001\u957f\u4e0a\u4e0b\u6587 CPT\u3001DPO\/GSPO \u504f\u597d\u4f18\u5316\uff0c\u4ee5\u53ca\u8f7b\u91cf speaker fine-tuning\uff0c\u7528\u4e8e\u589e\u5f3a\u81ea\u7136\u5ea6\u3001\u8868\u73b0\u529b\u3001\u8bed\u97f3\u53ef\u63a7\u6027\u548c\u96f6\u6837\u672c\/\u5b9a\u5236\u97f3\u8272\u80fd\u529b\u3002<\/p>\n\n\n\n<h2>5. \u6d41\u5f0f\u5ef6\u8fdf\u4e0e\u5e76\u53d1<\/h2>\n\n\n\n<p>\u8bba\u6587\u7ed9\u51fa\u4e86\u7aef\u5230\u7aef\u9996\u5305\u5ef6\u8fdf\u3002\u5355\u5e76\u53d1\u4e0b\uff0cQwen3.5-Omni-Flash \u7684\u97f3\u9891\u8f93\u5165\u9996\u5305\u5ef6\u8fdf\u4e3a 235ms\uff0c\u89c6\u9891\u8f93\u5165\u4e3a 426ms\uff1bQwen3.5-Omni-Plus \u5206\u522b\u4e3a 435ms \u548c 651ms\u30028 \u5e76\u53d1\u4e0b\uff0cFlash \u7684\u97f3\u9891\/\u89c6\u9891\u6574\u4f53\u5ef6\u8fdf\u4e3a 352ms\/1625ms\uff0cPlus \u4e3a 955ms\/1980ms\u3002<\/p>\n\n\n\n<p>\u9700\u8981\u6ce8\u610f\uff0c\u8bba\u6587\u660e\u786e\u8bf4\u660e Flash \u548c Plus \u56e0\u6a21\u578b\u89c4\u6a21\u3001\u90e8\u7f72\u8d44\u6e90\u548c\u5e76\u884c\u7b56\u7565\u4e0d\u540c\uff0c\u4e0d\u9002\u5408\u505a\u4e25\u683c\u6a2a\u5411\u5ef6\u8fdf\u6bd4\u8f83\u3002\u66f4\u5173\u952e\u7684\u7ed3\u8bba\u662f\uff1aARIA\u3001chunked prefilling\u3001MTP \u548c streaming ConvNet \u5171\u540c\u628a\u9996\u5305\u8bed\u97f3\u5ef6\u8fdf\u63a7\u5236\u5728\u53ef\u4ea4\u4e92\u8303\u56f4\u5185\u3002<\/p>\n\n\n\n<h2>6. \u5b9e\u9a8c\u7ed3\u679c\uff1a\u7406\u89e3\u80fd\u529b\u57fa\u672c\u4e0d\u727a\u7272\uff0c\u97f3\u9891\u80fd\u529b\u660e\u663e\u589e\u5f3a<\/h2>\n\n\n\n<p><strong>\u6587\u672c\u80fd\u529b\uff1a<\/strong>Qwen3.5-Omni-Plus \u57fa\u672c\u4fdd\u6301\u4e86 Qwen3.5-Plus-NoThinking \u7684\u6587\u672c\u80fd\u529b\u3002\u6bd4\u5982 MMLU-Pro \u4e3a 85.9 vs 86.8\uff0cMMLU-Redux \u4e3a 94.2 vs 94.3\uff0cC-Eval \u4e3a 92.0 vs 92.3\uff0cLiveCodeBench v6 \u4e3a 65.6 vs 67.1\u3002\u503c\u5f97\u6ce8\u610f\u7684\u662f IFBench \u4e0a Omni-Plus \u4e3a 52.6\uff0c\u7565\u9ad8\u4e8e\u6587\u672c\u57fa\u7ebf\u7684 51.1\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" width=\"1024\" height=\"749\" src=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2026\/07\/image-21-1024x749.png\" alt=\"\" class=\"wp-image-31367\" srcset=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2026\/07\/image-21-1024x749.png 1024w, http:\/\/139.9.1.231\/wp-content\/uploads\/2026\/07\/image-21-300x220.png 300w, http:\/\/139.9.1.231\/wp-content\/uploads\/2026\/07\/image-21-768x562.png 768w, http:\/\/139.9.1.231\/wp-content\/uploads\/2026\/07\/image-21.png 1189w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p><strong>\u97f3\u9891\u7406\u89e3\u4e0e ASR\uff1a<\/strong>\u4e0e Gemini-3.1 Pro \u76f8\u6bd4\uff0cQwen3.5-Omni-Plus \u5728\u591a\u4e2a\u97f3\u9891\u4efb\u52a1\u4e0a\u66f4\u5f3a\u3002MMAU \u4e3a 82.2 vs 81.1\uff0cMMSU \u4e3a 82.8 vs 81.3\uff0cRUL-MuchoMusic \u4e3a 72.4 vs 59.6\uff0cVoiceBench \u4e3a 93.1 vs 88.9\u3002ASR \u65b9\u9762\uff0cFleurs top60 WER \u4e3a 6.55\uff0c\u4f4e\u4e8e Gemini-3.1 Pro \u7684 7.32\uff1bLibriSpeech clean\/other \u4e3a 1.11\/2.23\uff0c\u4e5f\u660e\u663e\u4f4e\u4e8e 3.36\/4.41\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" width=\"1024\" height=\"784\" src=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2026\/07\/image-22-1024x784.png\" alt=\"\" class=\"wp-image-31368\" srcset=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2026\/07\/image-22-1024x784.png 1024w, http:\/\/139.9.1.231\/wp-content\/uploads\/2026\/07\/image-22-300x230.png 300w, http:\/\/139.9.1.231\/wp-content\/uploads\/2026\/07\/image-22-768x588.png 768w, http:\/\/139.9.1.231\/wp-content\/uploads\/2026\/07\/image-22.png 1192w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p><strong>\u89c6\u89c9\u4e0e\u89c6\u9891\uff1a<\/strong>Qwen3.5-Omni-Plus \u5728\u89c6\u89c9\u4efb\u52a1\u4e0a\u63a5\u8fd1 Qwen3.5 \u6587\u672c\/\u89c6\u89c9\u57fa\u7ebf\uff0c\u5e76\u5728\u90e8\u5206\u89c6\u9891\u4efb\u52a1\u4e0a\u66f4\u597d\u3002\u4f8b\u5982 RealWorldQA \u4e3a 84.1\uff0c\u9ad8\u4e8e\u57fa\u7ebf 79.1\uff1bVideoMME w\/o subtitles \u4e3a 81.9\uff0c\u9ad8\u4e8e 81.0\uff1bMLVU \u4e3a 86.8\uff0c\u9ad8\u4e8e 85.1\uff1bLVBench \u4e3a 71.2\uff0c\u9ad8\u4e8e 68.6\u3002\u8fd9\u8bf4\u660e\u97f3\u89c6\u9891\u8054\u5408\u8bad\u7ec3\u6ca1\u6709\u660e\u663e\u635f\u4f24\u89c6\u89c9\u80fd\u529b\uff0c\u53cd\u800c\u589e\u5f3a\u4e86\u52a8\u6001\u89c6\u89c9\u573a\u666f\u7684\u8868\u73b0\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" width=\"883\" height=\"982\" src=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2026\/07\/image-23.png\" alt=\"\" class=\"wp-image-31369\" srcset=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2026\/07\/image-23.png 883w, http:\/\/139.9.1.231\/wp-content\/uploads\/2026\/07\/image-23-270x300.png 270w, http:\/\/139.9.1.231\/wp-content\/uploads\/2026\/07\/image-23-768x854.png 768w\" sizes=\"(max-width: 883px) 100vw, 883px\" \/><\/figure>\n\n\n\n<p><strong>\u97f3\u89c6\u9891\u7406\u89e3\uff1a<\/strong>\u5728 AudioVisual \u2192 Text \u4efb\u52a1\u4e2d\uff0cQwen3.5-Omni-Plus \u5728 DailyOmni \u4e0a\u8fbe\u5230 84.6\uff0c\u9ad8\u4e8e Gemini-3.1 Pro \u7684 82.7\uff1bQualcomm IVD \u4e3a 68.5\uff0c\u9ad8\u4e8e 66.2\uff1bOmni-Cloze \u4e3a 64.8\uff0c\u9ad8\u4e8e 57.2\u3002\u4f46\u5b83\u5728 WorldSense\u3001AV-SpeakerBench\u3001VideoMME with audio \u548c OmniGAIA \u4e0a\u4ecd\u4f4e\u4e8e Gemini-3.1 Pro\uff0c\u8bf4\u660e\u97f3\u89c6\u9891\u7efc\u5408\u63a8\u7406\u548c\u5de5\u5177\u4f7f\u7528\u4ecd\u6709\u6539\u8fdb\u7a7a\u95f4\u3002<\/p>\n\n\n\n<p><strong>\u8bed\u97f3\u751f\u6210\uff1a<\/strong>\u5728 SEED-TTS \u96f6\u6837\u672c\u8bed\u97f3\u751f\u6210\u4e2d\uff0cQwen3.5-Omni-Plus \u7684 WER \u4e3a test-zh 0.99\u3001test-en 1.26\uff0c\u4f18\u4e8e Qwen3-Omni-30B-A3B \u7684 1.07\/1.39\uff0c\u4e5f\u5728\u82f1\u6587\u5b50\u96c6\u4e0a\u8d85\u8fc7 CosyVoice 3 \u7684 1.45\u3002\u591a\u8bed\u8a00\u8bed\u97f3\u751f\u6210\u4e2d\uff0c\u8bba\u6587\u79f0 Qwen3.5-Omni \u5728 29 \u4e2a\u8bc4\u6d4b\u8bed\u8a00\u4e2d\u6709 22 \u4e2a\u53d6\u5f97\u6700\u4f4e WER\uff0c\u5e76\u5728\u591a\u6570\u8bed\u8a00\u4e0a\u6709\u66f4\u9ad8 speaker similarity\u3002<\/p>\n\n\n\n<p><strong>\u8de8\u8bed\u8a00\u4e0e\u5b9a\u5236\u97f3\u8272\uff1a<\/strong>\u8de8\u8bed\u8a00\u8bed\u97f3\u751f\u6210\u4e2d\uff0cQwen3.5-Omni \u5728 12 \u4e2a\u65b9\u5411\u4e2d 10 \u4e2a\u6700\u597d\u3002\u6bd4\u5982 Chinese-to-Korean \u9519\u8bef\u7387\u4e3a 4.03\uff0c\u800c CosyVoice3 \u662f 14.4\uff0c\u76f8\u5bf9\u964d\u4f4e\u7ea6 72%\u3002\u5b9a\u5236\u97f3\u8272\u65b9\u9762\uff0c\u8bba\u6587\u5728 2026 \u5e74 3 \u6708\u901a\u8fc7\u5b98\u65b9 API \u5bf9\u6bd4 ElevenLabs\u3001Gemini-2.5 Pro-Preview-TTS\u3001GPT-Audio-2025-08-28 \u548c MiniMax-Speech-2.8-HD\uff0cQwen3.5-Omni \u5728 29 \u79cd\u8bed\u8a00\u4e2d\u6709 10 \u79cd\u53d6\u5f97\u6700\u4f73 WER\uff0c\u5e76\u5728\u65e5\u8bed\u3001\u97e9\u8bed\u7b49\u573a\u666f\u8868\u73b0\u7a81\u51fa\u3002<\/p>\n\n\n\n<h2>7. \u5173\u952e\u521b\u65b0\u70b9<\/h2>\n\n\n\n<ul><li><strong>\u5168\u6a21\u6001 Agent \u5316\uff1a<\/strong>\u6a21\u578b\u4e0d\u53ea\u56de\u7b54\u95ee\u9898\uff0c\u8fd8\u80fd\u6267\u884c WebSearch\u3001FunctionCall\uff0c\u5e76\u5c55\u73b0 Audio-Visual Vibe Coding \u80fd\u529b\u3002<\/li><li><strong>Thinker-Talker \u7684 MoE \u5347\u7ea7\uff1a<\/strong>Thinker \u548c Talker \u90fd\u91c7\u7528 Hybrid MoE\uff0c\u517c\u987e\u957f\u4e0a\u4e0b\u6587\u3001\u591a\u6a21\u6001\u5efa\u6a21\u548c\u670d\u52a1\u5e76\u53d1\u3002<\/li><li><strong>ARIA \u5bf9\u9f50\u673a\u5236\uff1a<\/strong>\u7528\u81ea\u9002\u5e94\u6587\u672c-\u8bed\u97f3\u901f\u7387\u7ea6\u675f\u66ff\u4ee3\u56fa\u5b9a\u5bf9\u9f50\uff0c\u6539\u5584\u6d41\u5f0f\u8bed\u97f3\u7684\u7a33\u5b9a\u6027\u3001\u97f5\u5f8b\u548c\u53d1\u97f3\u81ea\u7136\u5ea6\u3002<\/li><li><strong>\u591a\u7801\u672c\u6d41\u5f0f\u8bed\u97f3\u751f\u6210\uff1a<\/strong>RVQ token\u3001MTP \u548c causal ConvNet \u7ec4\u5408\uff0c\u8ba9\u8bed\u97f3\u53ef\u4ee5\u4ece\u9996\u4e2a codec frame \u5f00\u59cb\u589e\u91cf\u5408\u6210\u3002<\/li><li><strong>\u65f6\u95f4\u6233\u663e\u5f0f\u5efa\u6a21\uff1a<\/strong>\u5728\u97f3\u89c6\u9891 patch \u4e2d\u63d2\u5165\u6587\u672c timestamp\uff0c\u63d0\u5347\u957f\u89c6\u9891\u3001\u957f\u97f3\u9891\u7684\u65f6\u95f4\u611f\u77e5\u548c\u8de8\u6a21\u6001\u540c\u6b65\u3002<\/li><li><strong>\u5927\u89c4\u6a21\u591a\u8bed\u8a00\u8bad\u7ec3\uff1a<\/strong>\u8986\u76d6 113 \u79cd\u8bed\u97f3\u8f93\u5165\u8bed\u8a00\/\u65b9\u8a00\u548c 36 \u79cd\u8bed\u97f3\u8f93\u51fa\u8bed\u8a00\/\u65b9\u8a00\uff0c\u6269\u5c55\u4e86 ASR\u3001TTS\u3001\u8de8\u8bed\u8a00 voice cloning \u7684\u8fb9\u754c\u3002<\/li><\/ul>\n\n\n\n<h2>8. \u5c40\u9650<\/h2>\n\n\n\n<p>\u8fd9\u7bc7\u6280\u672f\u62a5\u544a\u7ed9\u51fa\u4e86\u5927\u91cf\u6307\u6807\uff0c\u4f46\u4ecd\u6709\u51e0\u4e2a\u9700\u8981\u8c28\u614e\u7406\u89e3\u7684\u5730\u65b9\u3002\u7b2c\u4e00\uff0cQwen3.5-Omni-Plus \u548c Flash \u7684\u5ef6\u8fdf\u6570\u5b57\u4e0d\u9002\u5408\u4e25\u683c\u6a2a\u6bd4\uff0c\u56e0\u4e3a\u90e8\u7f72\u8d44\u6e90\u548c\u5e76\u884c\u7b56\u7565\u4e0d\u540c\u3002\u7b2c\u4e8c\uff0c\u97f3\u89c6\u9891\u7efc\u5408\u4efb\u52a1\u5e76\u975e\u5168\u9762\u9886\u5148 Gemini-3.1 Pro\uff0c\u5c24\u5176 WorldSense\u3001AV-SpeakerBench\u3001VideoMME with audio \u548c OmniGAIA \u4ecd\u6709\u5dee\u8ddd\u3002\u7b2c\u4e09\uff0c\u6a21\u578b\u8bad\u7ec3\u6570\u636e\u89c4\u6a21\u5f88\u5927\uff0c\u4f46\u6570\u636e\u6784\u6210\u548c\u8fc7\u6ee4\u7ec6\u8282\u4ecd\u662f\u6280\u672f\u62a5\u544a\u7ea7\u62ab\u9732\uff0c\u4e0d\u7b49\u4e8e\u5b8c\u5168\u53ef\u590d\u73b0\u3002<\/p>\n\n\n\n<p>\u603b\u4f53\u6765\u770b\uff0cQwen3.5-Omni \u7684\u610f\u4e49\u5728\u4e8e\u628a\u5168\u6a21\u6001\u6a21\u578b\u4ece\u201c\u770b\u56fe\u3001\u542c\u97f3\u3001\u56de\u7b54\u201d\u63a8\u8fdb\u5230\u201c\u5b9e\u65f6\u542c\u770b\u3001\u8fde\u7eed\u8bf4\u8bdd\u3001\u4fdd\u6301\u957f\u4e0a\u4e0b\u6587\u3001\u80fd\u8c03\u7528\u5de5\u5177\u201d\u7684\u9636\u6bb5\u3002\u5b83\u7684\u67b6\u6784\u4eae\u70b9\u4e0d\u53ea\u662f\u53c2\u6570\u66f4\u5927\uff0c\u800c\u662f\u901a\u8fc7 Hybrid MoE\u3001ARIA\u3001\u591a\u7801\u672c codec 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class=\"screen-reader-text\">Qwen3.5-Omni\uff1a\u65b0\u4e00\u4ee3\u5927\u89c4\u6a21\u539f\u751f\u5168\u6a21\u6001\u5927\u6a21\u578b<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[42,40,4,9,38,43,34],"tags":[],"_links":{"self":[{"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/posts\/30885"}],"collection":[{"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/comments?post=30885"}],"version-history":[{"count":28,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/posts\/30885\/revisions"}],"predecessor-version":[{"id":31370,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/posts\/30885\/revisions\/31370"}],"wp:attachment":[{"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/media?parent=30885"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/categories?post=30885"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/tags?post=30885"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}