{"id":96664,"date":"2026-08-28T07:18:39","date_gmt":"2026-08-27T23:18:39","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/96664.html"},"modified":"2026-08-28T07:18:39","modified_gmt":"2026-08-27T23:18:39","slug":"%e3%80%90%e5%8d%83%e9%97%ae%e6%8b%a5%e6%8a%b1%e5%bc%80%e6%ba%90%e3%80%91qwen3-8-flash-next-%e6%b7%b1%e5%ba%a6%e8%a7%a3%e6%9e%90%ef%bc%9a125b-%e5%8f%82%e6%95%b0%e3%80%816b-%e6%bf%80%e6%b4%bb%ef%bc%8c","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/96664.html","title":{"rendered":"\u3010\u5343\u95ee\u62e5\u62b1\u5f00\u6e90\u3011Qwen3.8-Flash-Next \u6df1\u5ea6\u89e3\u6790\uff1a125B \u53c2\u6570\u30016B \u6fc0\u6d3b\uff0c\u91cd\u65b0\u5b9a\u4e49\u9ad8\u6548\u6269\u5c55\u65b0\u8303\u5f0f"},"content":{"rendered":"<p>[!Note] \u672c\u4ed3\u5e93\u5305\u542b\u4ee5\u540e\u8bad\u7ec3&#xff08;post-trained&#xff09;\u6a21\u578b\u6743\u91cd\u548c\u914d\u7f6e\u6587\u4ef6&#xff0c;\u91c7\u7528 Hugging Face Transformers \u683c\u5f0f\u3002<\/p>\n<p>\u8fd9\u4e9b\u5de5\u4ef6\u4e0e Hugging Face Transformers\u3001vLLM\u3001SGLang\u3001TokenSpeed \u7b49\u6846\u67b6\u517c\u5bb9\u3002<\/p>\n<p>[!Tip] \u5982\u679c\u60a8\u9700\u8981\u65e0\u9700\u81ea\u884c\u7ef4\u62a4\u57fa\u7840\u8bbe\u65bd\u7684\u6258\u7ba1\u5f0f\u3001\u53ef\u6269\u5c55\u63a8\u7406\u670d\u52a1&#xff0c;\u5b98\u65b9 Qwen API \u670d\u52a1\u7531 Qwen Cloud \u63d0\u4f9b\u3002<\/p>\n<p>\u5176\u4e2d&#xff0c;Qwen3.8-Flash \u662f\u57fa\u4e8e Qwen3.8-Flash-Next \u7684\u5b98\u65b9\u7248\u672c&#xff0c;\u5177\u5907\u66f4\u591a\u751f\u4ea7\u7ea7\u7279\u6027&#xff0c;\u4f8b\u5982\u9ed8\u8ba4\u652f\u6301 1M \u4e0a\u4e0b\u6587\u957f\u5ea6\u3001\u5185\u7f6e\u5b98\u65b9\u5de5\u5177\u7b49\u3002\u66f4\u591a\u4fe1\u606f\u8bf7\u53c2\u9605 Qwen3.8-Flash \u6982\u89c8\u3002<\/p>\n<p>\u968f\u7740\u57fa\u7840\u6a21\u578b\u7684\u524d\u6cbf\u4e0d\u65ad\u5411\u66f4\u5927\u7684\u53c2\u6570\u91cf\u548c\u66f4\u957f\u7684\u4e0a\u4e0b\u6587\u7a97\u53e3\u63a8\u8fdb&#xff0c;\u95ee\u9898\u4e0d\u518d\u4ec5\u4ec5\u662f\u6211\u4eec\u80fd\u628a\u89c4\u6a21\u505a\u5230\u591a\u5927&#xff0c;\u800c\u662f\u6211\u4eec\u80fd\u5426\u505a\u5230\u9ad8\u6548\u6269\u5c55\u3002\u671d\u7740\u8ba9\u6240\u6709\u4eba\u53d7\u76ca\u7684\u901a\u7528\u4eba\u5de5\u667a\u80fd&#xff08;AGI&#xff09;\u5b9e\u73b0\u53ef\u6301\u7eed\u8fdb\u6b65&#xff0c;\u9700\u8981\u67b6\u6784\u4e0a\u7684\u521b\u65b0\u3002\u4eca\u5929&#xff0c;\u6211\u4eec\u5206\u4eab\u8fd9\u4e00\u65b9\u5411\u4e0a\u7684\u4e00\u4e2a\u5177\u4f53\u8fdb\u5c55&#xff1a;Qwen3.8-Flash-Next\u3002<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/08\/20260827231833-6a90c5c99b9db.png\" alt=\"Qwen3.8-Flash-Next \u67b6\u6784\" \/><\/p>\n<p>\u8fd9\u4e2a\u5c06\u4e3a Qwen4 \u5960\u5b9a\u57fa\u7840\u7684\u67b6\u6784\u5b9e\u9a8c\u6027\u9884\u89c8\u7248&#xff0c;\u56f4\u7ed5\u5bf9\u73b0\u4ee3\u5927\u8bed\u8a00\u6a21\u578b&#xff08;LLM&#xff09;\u6838\u5fc3\u7ec4\u4ef6\u5728\u5927\u89c4\u6a21\u4e0b\u5982\u4f55\u4ea4\u4e92\u8fd9\u4e00\u95ee\u9898\u7684\u6839\u672c\u6027\u91cd\u65b0\u601d\u8003\u800c\u6784\u5efa\u3002<\/p>\n<h3>\u4eae\u70b9<\/h3>\n<p>\u8be5\u67b6\u6784\u4e0b\u7684\u9996\u4e2a\u5f00\u6e90\u6743\u91cd\u53d1\u5e03\u662f Qwen3.8-Flash-Next&#xff0c;\u5b83\u5f15\u5165\u4e86&#xff1a;<\/p>\n<ul>\n<li>\u91c7\u7528 QSA \u7684\u6df7\u5408\u6ce8\u610f\u529b&#xff1a;Gated DeltaNet \u4e0e Gated Attention \u7684\u7ec4\u5408\u88ab\u91cd\u65b0\u8bbe\u8ba1\u4e3a Gated DeltaNet \u4e0e Qwen \u7a00\u758f\u6ce8\u610f\u529b&#xff08;QSA&#xff09;\u3002QSA \u5e76\u975e\u9009\u62e9\u5355\u4e2a token \u8fdb\u884c\u5904\u7406&#xff0c;\u800c\u662f\u5728\u5fae\u5757&#xff08;micro-block&#xff09;\u7ea7\u522b\u4e0a\u8fd0\u884c\u3002\u8fd9\u663e\u8457\u964d\u4f4e\u4e86\u957f\u4e0a\u4e0b\u6587\u5ef6\u8fdf&#xff0c;\u800c\u968f\u7740\u667a\u80fd\u4f53\u5de5\u4f5c\u8d1f\u8f7d\u65e5\u76ca\u4e3b\u5bfc\u771f\u5b9e\u4e16\u754c\u7684\u4f7f\u7528\u573a\u666f&#xff0c;\u8fd9\u4e00\u80fd\u529b\u53d8\u5f97\u81f3\u5173\u91cd\u8981\u3002<\/li>\n<li>\u95e8\u63a7\u6b8b\u5dee&#xff08;Gated Residual&#xff09;&#xff1a;\u5e26\u5f52\u4e00\u5316\u7684\u6b8b\u5dee\u6d41\u662f\u8ba9\u6df1\u5ea6 LLM \u8bad\u7ec3\u53d8\u5f97\u53ef\u63a7\u7684\u5173\u952e\u3002\u95e8\u63a7\u6b8b\u5dee\u901a\u8fc7\u9010\u5143\u7d20\u3001\u4f9d\u8d56\u6570\u636e\u7684\u8bfb\u53d6\u95e8&#xff08;read gate&#xff09;\u548c\u6309\u5206\u652f\u7684\u6807\u91cf\u5199\u5165\u95e8&#xff08;write gate&#xff09;\u6765\u8c03\u8282\u6d41\u7ecf\u52a0\u5bbd\u6b8b\u5dee\u6d41\u7684\u4fe1\u606f\u3002\u8fd9\u5e26\u6765\u4e86\u8de8\u5c42\u7684\u66f4\u7ec6\u7c92\u5ea6\u8868\u8fbe\u80fd\u529b&#xff0c;\u540c\u65f6\u4fdd\u6301\u8bad\u7ec3\u7a33\u5b9a\u5e76\u5c06\u63a8\u7406\u5f00\u9500\u4fdd\u6301\u5728\u8f83\u4f4e\u6c34\u5e73\u3002<\/li>\n<li>N-gram \u5d4c\u5165&#xff08;N-gram Embedding&#xff09;&#xff1a;\u5d4c\u5165\u4e3a\u53c2\u6570\u6269\u5c55\u63d0\u4f9b\u4e86\u4e00\u4e2a\u72ec\u7279\u7684\u7ef4\u5ea6&#xff0c;\u76f8\u6bd4\u6df7\u5408\u4e13\u5bb6&#xff08;MoE&#xff09;&#xff0c;\u5b83\u6240\u9700\u8ba1\u7b97\u66f4\u5c11&#xff0c;\u4e14\u66f4\u6613\u4e8e\u5378\u8f7d\u3002\u901a\u8fc7\u4ee5\u77ed n-gram \u8fdb\u884c\u7d22\u5f15&#xff0c;\u8be5\u65b9\u6cd5\u5728\u4e0d\u727a\u7272\u8d28\u91cf\u7684\u524d\u63d0\u4e0b&#xff0c;\u8ba9\u53c2\u6570\u6269\u5c55\u5bf9\u5185\u5b58\u53d7\u9650\u7684\u52a0\u901f\u5668\u975e\u5e38\u9ad8\u6548\u3002<\/li>\n<li>\u5b9a\u5236\u5316\u8bad\u7ec3\u65b9\u6848&#xff08;Tailored Training Recipe&#xff09;&#xff1a;Muon \u548c AdamW \u4f18\u5316\u5668\u88ab\u5e94\u7528\u4e8e\u7279\u5b9a\u7684\u6743\u91cd\u7c7b\u522b\u4ee5\u6700\u5927\u5316\u6548\u7387\u3002\u5728\u91cd\u65b0\u62df\u5408\u7684\u6269\u5c55\u5b9a\u5f8b&#xff08;scaling laws&#xff09;\u6307\u5bfc\u4e0b&#xff0c;\u6211\u4eec\u53d6\u6d88\u4e86\u4f20\u7edf\u7684\u6279\u5927\u5c0f\u9884\u70ed&#xff08;batch-size warmup&#xff09;&#xff0c;\u76f4\u63a5\u4ece\u76ee\u6807\u6279\u5927\u5c0f\u5f00\u59cb\u8bad\u7ec3&#xff0c;\u4ece\u800c\u5927\u5e45\u51cf\u5c11\u4f18\u5316\u5668\u603b\u6b65\u6570&#xff0c;\u540c\u65f6\u53ef\u5b89\u5168\u5730\u4f7f\u7528\u66f4\u5927\u7684\u5b66\u4e60\u7387&#xff0c;\u5b9e\u73b0\u7a33\u5065\u6536\u655b\u3002<\/li>\n<\/ul>\n<p>\u66f4\u591a\u7ec6\u8282\u8bf7\u53c2\u9605\u6211\u4eec\u7684\u535a\u5ba2\u6587\u7ae0 Qwen3.8-Flash-Next \u548c\u6280\u672f\u62a5\u544a\u3002<\/p>\n<p>\u6211\u4eec\u5f88\u9ad8\u5174\u80fd\u4e0e\u60a8\u4e00\u540c\u5f00\u542f\u8fd9\u4e00\u65b0\u7bc7\u7ae0&#xff0c;\u4e5f\u6b22\u8fce\u60a8\u5c31\u6211\u4eec\u63a5\u4e0b\u6765\u7684\u6784\u5efa\u5de5\u4f5c\u63d0\u4f9b\u53cd\u9988\u3002<\/p>\n<h3>\u6a21\u578b\u6982\u89c8<\/h3>\n<ul>\n<li>\u7c7b\u578b&#xff1a;\u5e26\u89c6\u89c9\u7f16\u7801\u5668\u7684\u56e0\u679c\u8bed\u8a00\u6a21\u578b&#xff08;Causal Language Model with Vision Encoder&#xff09;<\/li>\n<li>\u8bad\u7ec3\u9636\u6bb5&#xff1a;\u9884\u8bad\u7ec3\u4e0e\u540e\u8bad\u7ec3&#xff08;Pre-training &amp; Post-training&#xff09;<\/li>\n<li>\u8bed\u8a00\u6a21\u578b\n<ul>\n<li>\u53c2\u6570\u91cf&#xff1a;125B&#xff0c;\u5176\u4e2d 6B \u6fc0\u6d3b&#xff0c;\u53e6\u6709 51B n-gram \u5d4c\u5165\u548c 4B MTP<\/li>\n<li>\u9690\u85cf\u7ef4\u5ea6&#xff1a;2560<\/li>\n<li>Token \u5d4c\u5165&#xff1a;248320&#xff08;\u5df2\u586b\u5145&#xff09;<\/li>\n<li>N-gram \u5d4c\u5165&#xff1a;20,000,000&#xff08;\u7b2c 2 \u5c42\u7684\u4e8c\u5143\/\u4e09\u5143\u7ec4&#xff0c;bigrams\/trigrams&#xff09;<\/li>\n<li>\u5c42\u6570&#xff1a;48<\/li>\n<li>\u9690\u85cf\u5c42\u5e03\u5c40&#xff1a;12 \u00d7&#xff08;3 \u00d7&#xff08;Gated DeltaNet \u2192 MoE&#xff09;\u2192 1 \u00d7&#xff08;Qwen \u7a00\u758f\u6ce8\u610f\u529b \u2192 MoE&#xff09;&#xff09;<\/li>\n<li>Gated DeltaNet&#xff1a;\n<ul>\n<li>\u7ebf\u6027\u6ce8\u610f\u529b\u5934\u6570\u91cf&#xff1a;V \u7528 48 \u4e2a&#xff0c;QK \u7528 16 \u4e2a<\/li>\n<li>\u5934\u7ef4\u5ea6&#xff1a;128<\/li>\n<\/ul>\n<\/li>\n<li>Qwen \u7a00\u758f\u6ce8\u610f\u529b&#xff1a;\n<ul>\n<li>\u6ce8\u610f\u529b\u5934\u6570\u91cf&#xff1a;Q \u7528 24 \u4e2a&#xff0c;KV \u7528 2 \u4e2a<\/li>\n<li>\u5934\u7ef4\u5ea6&#xff1a;256<\/li>\n<li>\u65cb\u8f6c\u4f4d\u7f6e\u5d4c\u5165\u7ef4\u5ea6&#xff1a;64<\/li>\n<li>\u7d22\u5f15\u5668\u7ed3\u6784&#xff1a;MQA&#xff0c;\u542b 4 \u4e2a\u67e5\u8be2\u5934&#xff08;Query Heads&#xff09;\u548c 1 \u4e2a\u5171\u4eab\u952e\u5934&#xff08;Shared Key Head&#xff09;<\/li>\n<li>\u7d22\u5f15\u5668\u5934\u7ef4\u5ea6&#xff1a;128<\/li>\n<li>\u9884\u7b97&#xff1a;512 \u4e2a\u5757\u6216 2048 \u4e2a token<\/li>\n<\/ul>\n<\/li>\n<li>\u6df7\u5408\u4e13\u5bb6&#xff08;Mixture Of Experts&#xff09;\n<ul>\n<li>\u4e13\u5bb6\u6570\u91cf&#xff1a;512<\/li>\n<li>\u6fc0\u6d3b\u7684\u4e13\u5bb6\u6570\u91cf&#xff1a;10 \u4e2a\u8def\u7531&#xff08;Routed&#xff09;&#043; 1 \u4e2a\u5171\u4eab&#xff08;Shared&#xff09;<\/li>\n<li>\u4e13\u5bb6\u4e2d\u95f4\u7ef4\u5ea6&#xff1a;640<\/li>\n<\/ul>\n<\/li>\n<li>\u95e8\u63a7\u6b8b\u5dee&#xff08;Gated Residual&#xff09;&#xff1a;\n<ul>\n<li>\u5206\u652f\u6570&#xff1a;4<\/li>\n<li>\u74f6\u9888\u79e9&#xff08;Bottleneck Rank&#xff09;&#xff1a;320<\/li>\n<\/ul>\n<\/li>\n<li>LM \u8f93\u51fa&#xff1a;248320&#xff08;\u5df2\u586b\u5145&#xff09;<\/li>\n<li>MTP&#xff1a;1 \u5c42&#xff0c;\u91c7\u7528\u591a\u6b65\u8bad\u7ec3<\/li>\n<\/ul>\n<\/li>\n<li>\u4e0a\u4e0b\u6587\u957f\u5ea6&#xff1a;\u539f\u751f 262,144&#xff0c;\u53ef\u6269\u5c55\u81f3 1,000,000 \u4e2a token\u3002<\/li>\n<\/ul>\n<h3>\u57fa\u51c6\u6d4b\u8bd5\u7ed3\u679c<\/h3>\n<h4>\u8bed\u8a00\u80fd\u529b<\/h4>\n<table>\n<tr>\u80fd\u529bQwen3.8-Flash-NextQwen3.8-27BQwen3.7-PlusDeepSeek-V4-Flash-0731Claude-Opus-4.6 (Max)<\/tr>\n<tbody>\n<tr>\n<td># \u53c2\u6570\u91cf<\/td>\n<td align=\"right\">125B<\/td>\n<td align=\"right\">27B<\/td>\n<td align=\"right\">397B<\/td>\n<td align=\"right\">284B<\/td>\n<td align=\"right\">\u2013<\/td>\n<\/tr>\n<tr>\n<td># \u6fc0\u6d3b\u53c2\u6570\u91cf<\/td>\n<td align=\"right\">6B<\/td>\n<td align=\"right\">27B<\/td>\n<td align=\"right\">17B<\/td>\n<td align=\"right\">13B<\/td>\n<td align=\"right\">\u2013<\/td>\n<\/tr>\n<tr>\n<td># N-gram \u5d4c\u5165\u53c2\u6570\u91cf<\/td>\n<td align=\"right\">51B<\/td>\n<td align=\"right\">\u2013<\/td>\n<td align=\"right\">\u2013<\/td>\n<td align=\"right\">\u2013<\/td>\n<td align=\"right\">\u2013<\/td>\n<\/tr>\n<tr>\n<td>\u7f16\u7a0b<\/td>\n<td align=\"right\"><\/td>\n<td align=\"right\"><\/td>\n<td align=\"right\"><\/td>\n<td align=\"right\"><\/td>\n<td align=\"right\"><\/td>\n<\/tr>\n<tr>\n<td>\u667a\u80fd\u4f53\u7f16\u7a0bDeepSWE 1.1<\/td>\n<td align=\"right\">58.7<\/td>\n<td align=\"right\">42.2<\/td>\n<td align=\"right\">16.5<\/td>\n<td align=\"right\">54.4<\/td>\n<td align=\"right\">\u2013<\/td>\n<\/tr>\n<tr>\n<td>\u667a\u80fd\u4f53\u7f16\u7a0bSWE-bench Pro<\/td>\n<td align=\"right\">62.5<\/td>\n<td align=\"right\">61.7<\/td>\n<td align=\"right\">55.8<\/td>\n<td align=\"right\">56.0<\/td>\n<td align=\"right\">53.4<\/td>\n<\/tr>\n<tr>\n<td>\u591a\u8bed\u8a00\u8f6f\u4ef6\u5de5\u7a0bSWE-bench Multilingual<\/td>\n<td align=\"right\">81.0<\/td>\n<td align=\"right\">73.8<\/td>\n<td align=\"right\">75.8<\/td>\n<td align=\"right\">\u2013<\/td>\n<td align=\"right\">77.5<\/td>\n<\/tr>\n<tr>\n<td>\u4ed3\u5e93\u7ea7\u4ee3\u7801\u751f\u6210NL2Repo-Bench<\/td>\n<td align=\"right\">48.1<\/td>\n<td align=\"right\">42.3<\/td>\n<td align=\"right\">41.1<\/td>\n<td align=\"right\">54.2<\/td>\n<td align=\"right\">47.6<\/td>\n<\/tr>\n<tr>\n<td>\u667a\u80fd\u4f53<\/td>\n<td align=\"right\"><\/td>\n<td align=\"right\"><\/td>\n<td align=\"right\"><\/td>\n<td align=\"right\"><\/td>\n<td align=\"right\"><\/td>\n<\/tr>\n<tr>\n<td>\u957f\u5468\u671f\u529e\u516c\u4efb\u52a1CoWorkBench<\/td>\n<td align=\"right\">73.9<\/td>\n<td align=\"right\">70.7<\/td>\n<td align=\"right\">65.1<\/td>\n<td align=\"right\">45.1<\/td>\n<td align=\"right\">68.2<\/td>\n<\/tr>\n<tr>\n<td>\u4e13\u4e1a\u5de5\u4f5c\u4efb\u52a1JobBench<\/td>\n<td align=\"right\">55.7<\/td>\n<td align=\"right\">33.4<\/td>\n<td align=\"right\">27.6<\/td>\n<td align=\"right\">41.3<\/td>\n<td align=\"right\">36.6<\/td>\n<\/tr>\n<tr>\n<td>\u524d\u6cbf\u667a\u80fd\u4f53\u4efb\u52a1Agents\u2019 Last Exam<\/td>\n<td align=\"right\">Pass&#064;1 24.3\u5f97\u5206 51.2<\/td>\n<td align=\"right\">Pass&#064;1 20.4\u5f97\u5206 42.9<\/td>\n<td align=\"right\">Pass&#064;1 13.2\u5f97\u5206 33.6<\/td>\n<td align=\"right\">Pass&#064;1 25.2\u5f97\u5206 \u2013<\/td>\n<td align=\"right\">\u2013<\/td>\n<\/tr>\n<tr>\n<td>\u771f\u5b9e\u573a\u666f\u5de5\u5177\u4f7f\u7528Toolathlon Verified (Pass&#064;1)<\/td>\n<td align=\"right\">73.5<\/td>\n<td align=\"right\">67.1<\/td>\n<td align=\"right\">50.6<\/td>\n<td align=\"right\">70.3<\/td>\n<td align=\"right\">\u2013<\/td>\n<\/tr>\n<tr>\n<td>\u7efc\u5408<\/td>\n<td align=\"right\"><\/td>\n<td align=\"right\"><\/td>\n<td align=\"right\"><\/td>\n<td align=\"right\"><\/td>\n<td align=\"right\"><\/td>\n<\/tr>\n<tr>\n<td>\u6307\u4ee4\u9075\u5faaIFBench<\/td>\n<td align=\"right\">81.3<\/td>\n<td align=\"right\">79.5<\/td>\n<td align=\"right\">79.1<\/td>\n<td align=\"right\">79.2<\/td>\n<td align=\"right\">62.5<\/td>\n<\/tr>\n<tr>\n<td>\u79d1\u5b66\u63a8\u7406GPQA Diamond<\/td>\n<td align=\"right\">91.7<\/td>\n<td align=\"right\">89.2<\/td>\n<td align=\"right\">90.3<\/td>\n<td align=\"right\">90.8<\/td>\n<td align=\"right\">91.3<\/td>\n<\/tr>\n<tr>\n<td>\u591a\u5b66\u79d1\u63a8\u7406HLE<\/td>\n<td align=\"right\">35.9<\/td>\n<td align=\"right\">30.8<\/td>\n<td align=\"right\">34.7<\/td>\n<td align=\"right\">33.8<\/td>\n<td align=\"right\">40.0<\/td>\n<\/tr>\n<tr>\n<td>\u7ade\u8d5b\u7ea7\u7f16\u7a0bLiveCodeBench v6<\/td>\n<td align=\"right\">91.9<\/td>\n<td align=\"right\">90.3<\/td>\n<td align=\"right\">89.6<\/td>\n<td align=\"right\">90.6<\/td>\n<td align=\"right\">88.8<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u8bf4\u660e&#xff1a;<\/p>\n<li>DeepSWE 1.1&#xff1a;\u4f7f\u7528 Claude Code \u548c mini-SWE-agent \u6d4b\u8bd5\u6846\u67b6\u8bc4\u4f30&#xff0c;temp&#061;1.0\u3001top_p&#061;0.95\u3001256K \u4e0a\u4e0b\u6587\u7a97\u53e3\u3002\u6211\u4eec\u62a5\u544a\u4e24\u4e2a\u6846\u67b6\u4e2d\u7684\u6700\u9ad8\u5f97\u5206&#xff1b;\u503c\u5f97\u6ce8\u610f\u7684\u662f&#xff0c;Qwen3.8-Flash-Next \u5728 mini-SWE-agent \u4e0a\u8868\u73b0\u6700\u4f73\u3002<\/li>\n<li>SWE-bench Pro&#xff1a;\u9664 Claude-Opus-4.6 (Max) \u62a5\u544a\u5176\u5b98\u65b9\u516c\u5e03\u5f97\u5206\u5916&#xff0c;\u6240\u6709\u6a21\u578b\u5747\u4f7f\u7528 Claude Code \u6d4b\u8bd5\u6846\u67b6\u8bc4\u4f30&#xff0c;temp&#061;1.0\u3001top_p&#061;0.95\u3001256K \u4e0a\u4e0b\u6587\u7a97\u53e3\u3002\u6709\u95ee\u9898\u7684\u4efb\u52a1\u5df2\u88ab\u4fee\u6b63&#xff0c;\u6240\u6709\u57fa\u7ebf\u6a21\u578b\u90fd\u5728\u7cbe\u70bc\u540e\u7684\u57fa\u51c6\u4e0a\u91cd\u65b0\u8bc4\u4f30\u3002<\/li>\n<li>SWE-bench Multilingual&#xff1a;\u4f7f\u7528 mini-SWE-agent \u6d4b\u8bd5\u6846\u67b6\u8bc4\u4f30&#xff0c;temp&#061;1.0\u3001top_p&#061;0.95\u3001256K \u4e0a\u4e0b\u6587\u7a97\u53e3\u3002<\/li>\n<li>NL2Repo-Bench&#xff1a;\u4f7f\u7528 Claude Code \u6d4b\u8bd5\u6846\u67b6\u8bc4\u4f30\u3002\u4e3a\u9632\u6b62\u5956\u52b1\u4f5c\u5f0a&#xff08;reward hacking&#xff09;&#xff0c;\u6211\u4eec\u7981\u7528\u4e86\u8bd5\u56fe\u8bbf\u95ee\u7279\u5b9a\u4ed3\u5e93\u7684 Bash \u547d\u4ee4&#xff0c;\u4f8b\u5982 pip download\u3001pip install \u548c git clone\u3002<\/li>\n<li>CoWorkBench&#xff1a;\u4e00\u4e2a\u5185\u90e8\u534f\u540c\u5de5\u4f5c&#xff08;cowork&#xff09;\u57fa\u51c6&#xff0c;\u7528\u4e8e\u8bc4\u4f30\u6db5\u76d6\u8ba1\u7b97\u673a\u79d1\u5b66\u3001\u91d1\u878d\u3001\u6cd5\u5f8b\u3001\u533b\u7597\u7b49\u9886\u57df\u7684\u957f\u5468\u671f\u529e\u516c\u4e0e\u751f\u4ea7\u529b\u667a\u80fd\u4f53\u4efb\u52a1\u3002<\/li>\n<li>HLE&#xff1a;\u7531 GPT-4o \u8fdb\u884c\u8bc4\u5224\u3002<\/li>\n<li>\u6bcf\u884c\u6700\u4f73\u7ed3\u679c\u4ee5\u7c97\u4f53\u663e\u793a\u3002<\/li>\n<li>\u7a7a\u767d\u5355\u5143\u683c&#xff08;\u2013&#xff09;&#xff1a;\u5f97\u5206\u5c1a\u672a\u516c\u5e03\u6216\u4e0d\u9002\u7528\u3002<\/li>\n<h4>\u89c6\u89c9\u8bed\u8a00\u80fd\u529b<\/h4>\n<table>\n<tr>\u80fd\u529bQwen3.8-Flash-NextQwen3.8-27BQwen3.7-PlusClaude-Opus-4.6 (Max)<\/tr>\n<tbody>\n<tr>\n<td>\u667a\u80fd\u4f53\u591a\u6a21\u6001\u667a\u80fd<\/td>\n<td align=\"right\"><\/td>\n<td align=\"right\"><\/td>\n<td align=\"right\"><\/td>\n<td align=\"right\"><\/td>\n<\/tr>\n<tr>\n<td>\u591a\u6a21\u6001\u5de5\u5177\u4f7f\u7528ClawEval-MM<\/td>\n<td align=\"right\">Pass&#064;3 64.4\u5e73\u5747 60.4<\/td>\n<td align=\"right\">Pass&#064;3 57.4\u5e73\u5747 56.9<\/td>\n<td align=\"right\">Pass&#064;3 57.4\u5e73\u5747 60.1<\/td>\n<td align=\"right\">Pass&#064;3 52.5\u5e73\u5747 54.7<\/td>\n<\/tr>\n<tr>\n<td>\u5e94\u7528\u590d\u523bRecreationBench<\/td>\n<td align=\"right\">49.9<\/td>\n<td align=\"right\">47.1<\/td>\n<td align=\"right\">30.2<\/td>\n<td align=\"right\">\u2013<\/td>\n<\/tr>\n<tr>\n<td>\u79fb\u52a8\u7aef\u4f7f\u7528AndroidWorld<\/td>\n<td align=\"right\">84.5<\/td>\n<td align=\"right\">81.9<\/td>\n<td align=\"right\">81.0<\/td>\n<td align=\"right\">62.0<\/td>\n<\/tr>\n<tr>\n<td>\u8ba1\u7b97\u673a\u64cd\u4f5cOSWorld 2.0<\/td>\n<td align=\"right\">\u4e8c\u503c 19.4\u90e8\u5206 52.3<\/td>\n<td align=\"right\">\u4e8c\u503c 19.4\u90e8\u5206 48.0<\/td>\n<td align=\"right\">\u4e8c\u503c 2.8\u90e8\u5206 21.5<\/td>\n<td align=\"right\">\u2013<\/td>\n<\/tr>\n<tr>\n<td>\u53ef\u89c6\u5316\u7f51\u9875\u5f00\u53d1Vision2Web<\/td>\n<td align=\"right\">64.0<\/td>\n<td align=\"right\">62.9<\/td>\n<td align=\"right\">42.1<\/td>\n<td align=\"right\">\u2013<\/td>\n<\/tr>\n<tr>\n<td>\u901a\u7528\u591a\u6a21\u6001\u667a\u80fd<\/td>\n<td align=\"right\"><\/td>\n<td align=\"right\"><\/td>\n<td align=\"right\"><\/td>\n<td align=\"right\"><\/td>\n<\/tr>\n<tr>\n<td>\u5177\u8eab\u667a\u80fdERQA<\/td>\n<td align=\"right\">72.3<\/td>\n<td align=\"right\">65.5<\/td>\n<td align=\"right\">69.8<\/td>\n<td align=\"right\">40.8<\/td>\n<\/tr>\n<tr>\n<td>\u957f\u89c6\u9891\u7406\u89e3LVBench<\/td>\n<td align=\"right\">76.6<\/td>\n<td align=\"right\">72.4<\/td>\n<td align=\"right\">76.2<\/td>\n<td align=\"right\">63.0<\/td>\n<\/tr>\n<tr>\n<td>\u771f\u5b9e\u573a\u666f\u611f\u77e5RealWorldQA<\/td>\n<td align=\"right\">88.5<\/td>\n<td align=\"right\">85.9<\/td>\n<td align=\"right\">86.9<\/td>\n<td align=\"right\">73.9<\/td>\n<\/tr>\n<tr>\n<td>\u89c6\u89c9\u6570\u5b66\u95ee\u9898\u6c42\u89e3MathVision<\/td>\n<td align=\"right\">\u65e0 CI 90.6\u6709 CI 95.7<\/td>\n<td align=\"right\">\u65e0 CI 90.0\u6709 CI 94.6<\/td>\n<td align=\"right\">\u65e0 CI 90.3\u6709 CI 88.7<\/td>\n<td align=\"right\">\u65e0 CI 65.5<\/td>\n<\/tr>\n<tr>\n<td>\u79d1\u5b66\u56fe\u8868\u5206\u6790CharXiv (RQ)<\/td>\n<td align=\"right\">\u65e0 CI 84.6\u6709 CI 90.6<\/td>\n<td align=\"right\">\u65e0 CI 83.7\u6709 CI 90.2<\/td>\n<td align=\"right\">\u65e0 CI 85.8\u6709 CI 85.9<\/td>\n<td align=\"right\">\u65e0 CI 66.0<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u8bf4\u660e&#xff1a;<\/p>\n<li>ClawEval-MM&#xff1a;\u5f97\u5206\u62a5\u544a\u4e3a&#034;pass&#064;3 \/ \u5e73\u5747\u5206&#034;\u3002Pass&#064;3 \u8861\u91cf\u5728\u4e09\u6b21\u8bd5\u9a8c\u4e2d\u81f3\u5c11\u4e00\u6b21\u901a\u8fc7\u7684\u767e\u5206\u6bd4&#xff0c;\u5e73\u5747\u5206\u4e3a\u4e09\u6b21\u8bd5\u9a8c\u7684\u5e73\u5747\u5f97\u5206\u3002<\/li>\n<li>RecreationBench&#xff1a;\u4e00\u4e2a\u5185\u90e8\u7684\u957f\u5468\u671f\u5e94\u7528\u590d\u523b\u57fa\u51c6&#xff0c;\u7528\u4e8e\u8bc4\u4f30\u8de8\u4e94\u4e2a\u5e73\u53f0&#xff08;\u684c\u9762\u7aef&#xff1a;Ubuntu\u3001macOS\u3001Windows&#xff1b;\u79fb\u52a8\u7aef&#xff1a;Android&#xff1b;\u4ee5\u53ca Web&#xff09;\u7684\u6df7\u5408\u667a\u80fd\u4f53\u80fd\u529b\u3002<\/li>\n<li>OSWorld 2.0&#xff1a;\u5f97\u5206\u62a5\u544a\u4e3a&#034;\u4e8c\u503c \/ \u90e8\u5206&#034;\u3002\u4e8c\u503c\u5f97\u5206\u4e3a\u83b7\u5f97\u5b8c\u6574\u4efb\u52a1\u5956\u52b1\u7684\u4efb\u52a1\u767e\u5206\u6bd4&#xff0c;\u90e8\u5206\u5f97\u5206\u5219\u6c47\u603b\u6240\u6709\u4efb\u52a1\u4e2d\u83b7\u5f97\u7684\u5c40\u90e8\u5956\u52b1\u3002<\/li>\n<li>Vision2Web&#xff1a;\u5f97\u5206\u62a5\u544a\u4e3a\u524d\u7aef\u3001\u7f51\u9875\u548c\u7f51\u7ad9\u7c7b\u522b\u4e0a\u7684\u5e73\u5747\u5206&#xff0c;\u4f7f\u7528 Claude Code \u6d4b\u8bd5\u6846\u67b6&#xff0c;\u7531 gpt-5.4-2026-03-05 \u8bc4\u5224\u3002<\/li>\n<li>MathVision\u3001CharXiv (RQ)&#xff1a;\u5f97\u5206\u62a5\u544a\u4e3a&#034;\u65e0 CI \/ \u6709 CI&#034;\u3002MathVision \u4e2d\u5c11\u91cf\u9519\u8bef\u7684\u771f\u5b9e\u6807\u6ce8&#xff08;ground-truth annotations&#xff09;\u7ecf\u4eba\u5de5\u9a8c\u8bc1\u540e\u5df2\u4fee\u6b63\u3002\u6211\u4eec\u6a21\u578b\u7684\u5f97\u5206\u4f7f\u7528\u56fa\u5b9a\u63d0\u793a\u8bc4\u4f30&#xff0c;\u4f8b\u5982&#034;\u8bf7\u9010\u6b65\u63a8\u7406&#xff0c;\u5e76\u5c06\u6700\u7ec8\u7b54\u6848\u653e\u5728 \\\\boxed{} \u4e2d\u3002&#034;\u5bf9\u4e8e\u5176\u4ed6\u6a21\u578b&#xff0c;\u6211\u4eec\u62a5\u544a\u4f7f\u7528\u548c\u4e0d\u4f7f\u7528 \\\\boxed{} \u683c\u5f0f\u8fd0\u884c\u4e2d\u7684\u8f83\u9ad8\u5f97\u5206\u3002<\/li>\n<li>\u6bcf\u884c\u6700\u4f73\u7ed3\u679c\u4ee5\u7c97\u4f53\u663e\u793a\u3002<\/li>\n<li>\u7a7a\u767d\u5355\u5143\u683c&#xff08;\u2013&#xff09;\u8868\u793a\u5f97\u5206\u5c1a\u672a\u516c\u5e03\u6216\u4e0d\u9002\u7528\u3002<\/li>\n<h3>\u5feb\u901f\u5f00\u59cb<\/h3>\n<p>\u4e3a\u4e86\u66f4\u987a\u7545\u7684\u96c6\u6210&#xff0c;\u6211\u4eec\u63a8\u8350\u901a\u8fc7 API \u4f7f\u7528 Qwen3.8-Flash-Next\u3002<\/p>\n<h4>\u90e8\u7f72 Qwen3.8-Flash-Next<\/h4>\n<p>[!Important] \u4e0d\u540c\u6846\u67b6\u4e4b\u95f4\u7684\u63a8\u7406\u6548\u7387\u548c\u541e\u5410\u91cf\u5dee\u5f02\u663e\u8457\u3002 \u6211\u4eec\u5efa\u8bae\u4f7f\u7528\u6700\u65b0\u7248\u672c\u7684\u6846\u67b6&#xff0c;\u4ee5\u786e\u4fdd\u83b7\u5f97\u6700\u4f73\u6027\u80fd\u548c\u517c\u5bb9\u6027\u3002 \u5bf9\u4e8e\u751f\u4ea7\u73af\u5883\u5de5\u4f5c\u8d1f\u8f7d\u6216\u9ad8\u541e\u5410\u573a\u666f&#xff0c;\u5f3a\u70c8\u63a8\u8350\u4f7f\u7528\u4e13\u7528\u63a8\u7406\u5f15\u64ce&#xff0c;\u4f8b\u5982 SGLang\u3001KTransformers \u6216 vLLM\u3002<\/p>\n<p>Qwen3.8-Flash-Next \u53ef\u4ee5\u4f7f\u7528\u6d41\u884c\u7684\u63a8\u7406\u6846\u67b6\u90e8\u7f72&#xff0c;\u4f8b\u5982&#xff1a;<\/p>\n<ul>\n<li>SGLang&#xff1a;Qwen3.8-Flash-Next Cookbook<\/li>\n<li>vLLM&#xff1a;Qwen3.8-Flash-Next Recipe<\/li>\n<li>TokenSpeed&#xff1a;Qwen3.8-Flash-Next Recipe<\/li>\n<\/ul>\n<h4>API \u7528\u6cd5<\/h4>\n<p>[!Important] Qwen3.8-Flash-Next \u6a21\u578b\u9ed8\u8ba4\u4ee5\u601d\u8003\u6a21\u5f0f\u8fd0\u884c&#xff0c;\u5728\u751f\u6210\u6700\u7ec8\u56de\u590d\u4e4b\u524d\u4f1a\u751f\u6210\u4ee5  thinking\\\\n&#8230; response\\\\n\\\\n \u6807\u8bb0\u7684\u601d\u8003\u5185\u5bb9\u3002 \u5982\u9700\u7981\u7528\u601d\u8003\u5185\u5bb9\u5e76\u76f4\u63a5\u83b7\u5f97\u56de\u590d&#xff0c;\u8bf7\u53c2\u9605\u6b64\u5904\u7684\u793a\u4f8b&#xff1a;\u6307\u4ee4&#xff08;\u975e\u601d\u8003&#xff09;\u6a21\u5f0f\u3002<\/p>\n<p>[!Tip] \u6211\u4eec\u5efa\u8bae\u4f7f\u7528\u4ee5\u4e0b\u91c7\u6837\u53c2\u6570\u7ec4\u5408\u8fdb\u884c\u751f\u6210&#xff1a;<\/p>\n<ul>\n<li>\u601d\u8003\u6a21\u5f0f&#xff1a;temperature&#061;1.0\u3001top_p&#061;0.95\u3001top_k&#061;20\u3001min_p&#061;0.0\u3001presence_penalty&#061;0.0\u3001repetition_penalty&#061;1.0<\/li>\n<li>\u6307\u4ee4&#xff08;\u6216\u975e\u601d\u8003&#xff09;\u6a21\u5f0f&#xff1a;temperature&#061;0.7\u3001top_p&#061;0.80\u3001top_k&#061;20\u3001min_p&#061;0.0\u3001presence_penalty&#061;1.5\u3001repetition_penalty&#061;1.0<\/li>\n<\/ul>\n<p>\u8bf7\u6ce8\u610f&#xff0c;\u5404\u63a8\u7406\u6846\u67b6\u5bf9\u91c7\u6837\u53c2\u6570\u7684\u652f\u6301\u60c5\u51b5\u6709\u6240\u4e0d\u540c\u3002<\/p>\n<p>[!Tip] \u5728\u591a\u8f6e\u667a\u80fd\u4f53\u4efb\u52a1\u4e2d&#xff0c;\u964d\u4f4e\u63a8\u7406\u6295\u5165&#xff08;reasoning effort&#xff09;\u5e76\u4e0d\u603b\u80fd\u51cf\u5c11\u6574\u4f53\u4efb\u52a1\u5b8c\u6210\u65f6\u95f4\u3002\u867d\u7136\u5b83\u53ef\u80fd\u8ba9\u5355\u8f6e\u56de\u590d\u66f4\u5feb&#xff0c;\u4f46\u4e5f\u53ef\u80fd\u5bfc\u81f4\u5206\u6790\u4e0d\u8db3\u3001\u66f4\u591a\u5931\u8d25\u548c\u53cd\u590d\u91cd\u8bd5&#xff0c;\u4ece\u800c\u589e\u52a0\u603b\u5ef6\u8fdf\u548c token \u6d88\u8017\u3002<\/p>\n<p>Qwen3.8-Flash-Next \u652f\u6301\u901a\u8fc7 enable_thinking\u3001preserve_thinking \u548c reasoning_effort \u63a7\u5236\u601d\u8003\u884c\u4e3a\u3002<\/p>\n<h5>Chat Completions API<\/h5>\n<p>Chat Completions API \u53ef\u7528\u4e8e\u5927\u591a\u6570\u63a8\u7406\u6846\u67b6&#xff0c;\u4ee5\u53ca Qwen Cloud\u3002 \u5f00\u59cb\u4e4b\u524d&#xff0c;\u8bf7\u786e\u4fdd\u5df2\u5b89\u88c5&#xff0c;\u5e76\u5df2\u914d\u7f6e API \u5bc6\u94a5\u548c API \u57fa\u7840 URL&#xff0c;\u4f8b\u5982&#xff1a;<\/p>\n<p>pip <span class=\"token function\">install<\/span> <span class=\"token parameter variable\">-U<\/span> openai<\/p>\n<p><span class=\"token comment\"># Set the following accordingly<\/span><br \/>\n<span class=\"token builtin class-name\">export<\/span> <span class=\"token assign-left variable\">OPENAI_BASE_URL<\/span><span class=\"token operator\">&#061;<\/span><span class=\"token string\">&#034;http:\/\/localhost:8000\/v1&#034;<\/span><br \/>\n<span class=\"token builtin class-name\">export<\/span> <span class=\"token assign-left variable\">OPENAI_API_KEY<\/span><span class=\"token operator\">&#061;<\/span><span class=\"token string\">&#034;EMPTY&#034;<\/span><\/p>\n<h6>\u7eaf\u6587\u672c\u8f93\u5165<\/h6>\n<p><span class=\"token keyword\">from<\/span> openai <span class=\"token keyword\">import<\/span> OpenAI<br \/>\n<span class=\"token comment\"># Configured by environment variables<\/span><br \/>\nclient <span class=\"token operator\">&#061;<\/span> OpenAI<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p>messages <span class=\"token operator\">&#061;<\/span> <span class=\"token punctuation\">[<\/span><br \/>\n    <span class=\"token punctuation\">{<\/span><span class=\"token string\">&#034;role&#034;<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token string\">&#034;user&#034;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#034;content&#034;<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token string\">&#034;Write a Python function to merge two sorted linked lists.&#034;<\/span><span class=\"token punctuation\">}<\/span><span class=\"token punctuation\">,<\/span><br \/>\n<span class=\"token punctuation\">]<\/span><\/p>\n<p>completion <span class=\"token operator\">&#061;<\/span> client<span class=\"token punctuation\">.<\/span>chat<span class=\"token punctuation\">.<\/span>completions<span class=\"token punctuation\">.<\/span>create<span class=\"token punctuation\">(<\/span><br \/>\n    model<span class=\"token operator\">&#061;<\/span><span class=\"token string\">&#034;Qwen\/Qwen3.8-Flash-Next&#034;<\/span><span class=\"token punctuation\">,<\/span><br \/>\n    messages<span class=\"token operator\">&#061;<\/span>messages<span class=\"token punctuation\">,<\/span><br \/>\n    extra_body<span class=\"token operator\">&#061;<\/span><span class=\"token punctuation\">{<\/span><br \/>\n        <span class=\"token string\">&#034;chat_template_kwargs&#034;<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token punctuation\">{<\/span><br \/>\n            <span class=\"token string\">&#034;enable_thinking&#034;<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token boolean\">True<\/span><span class=\"token punctuation\">,<\/span>  <span class=\"token comment\"># on by default<\/span><br \/>\n            <span class=\"token string\">&#034;preserve_thinking&#034;<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token boolean\">True<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token comment\"># on by default<\/span><br \/>\n        <span class=\"token punctuation\">}<\/span><span class=\"token punctuation\">,<\/span><br \/>\n    <span class=\"token punctuation\">}<\/span><span class=\"token punctuation\">,<\/span><br \/>\n    reasoning_effort<span class=\"token operator\">&#061;<\/span><span class=\"token string\">&#034;xhigh&#034;<\/span><span class=\"token punctuation\">,<\/span>  <span class=\"token comment\"># xhigh by default; supported levels are xhigh, medium, and low<\/span><br \/>\n    stream<span class=\"token operator\">&#061;<\/span><span class=\"token boolean\">True<\/span><span class=\"token punctuation\">,<\/span><br \/>\n    stream_options<span class=\"token operator\">&#061;<\/span><span class=\"token punctuation\">{<\/span><span class=\"token string\">&#034;include_usage&#034;<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token boolean\">True<\/span><span class=\"token punctuation\">}<\/span><span class=\"token punctuation\">,<\/span><br \/>\n<span class=\"token punctuation\">)<\/span><\/p>\n<p>reasoning_content <span class=\"token operator\">&#061;<\/span> <span class=\"token string\">&#034;&#034;<\/span><br \/>\nanswer_content <span class=\"token operator\">&#061;<\/span> <span class=\"token string\">&#034;&#034;<\/span><br \/>\nis_answering <span class=\"token operator\">&#061;<\/span> <span class=\"token boolean\">False<\/span><br \/>\n<span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;\\\\n&#034;<\/span> <span class=\"token operator\">&#043;<\/span> <span class=\"token string\">&#034;&#061;&#034;<\/span> <span class=\"token operator\">*<\/span> <span class=\"token number\">20<\/span> <span class=\"token operator\">&#043;<\/span> <span class=\"token string\">&#034;Reasoning&#034;<\/span> <span class=\"token operator\">&#043;<\/span> <span class=\"token string\">&#034;&#061;&#034;<\/span> <span class=\"token operator\">*<\/span> <span class=\"token number\">20<\/span> <span class=\"token operator\">&#043;<\/span> <span class=\"token string\">&#034;\\\\n&#034;<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p><span class=\"token keyword\">for<\/span> chunk <span class=\"token keyword\">in<\/span> completion<span class=\"token punctuation\">:<\/span><br \/>\n    <span class=\"token keyword\">if<\/span> <span class=\"token keyword\">not<\/span> chunk<span class=\"token punctuation\">.<\/span>choices<span class=\"token punctuation\">:<\/span><br \/>\n        <span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;\\\\nUsage:&#034;<\/span><span class=\"token punctuation\">)<\/span><br \/>\n        <span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span>chunk<span class=\"token punctuation\">.<\/span>usage<span class=\"token punctuation\">)<\/span><br \/>\n        <span class=\"token keyword\">continue<\/span><\/p>\n<p>    delta <span class=\"token operator\">&#061;<\/span> chunk<span class=\"token punctuation\">.<\/span>choices<span class=\"token punctuation\">[<\/span><span class=\"token number\">0<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">.<\/span>delta<\/p>\n<p>    <span class=\"token keyword\">if<\/span> <span class=\"token builtin\">hasattr<\/span><span class=\"token punctuation\">(<\/span>delta<span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#034;reasoning_content&#034;<\/span><span class=\"token punctuation\">)<\/span> <span class=\"token keyword\">and<\/span> delta<span class=\"token punctuation\">.<\/span>reasoning_content <span class=\"token keyword\">is<\/span> <span class=\"token keyword\">not<\/span> <span class=\"token boolean\">None<\/span><span class=\"token punctuation\">:<\/span><br \/>\n        <span class=\"token keyword\">if<\/span> <span class=\"token keyword\">not<\/span> is_answering<span class=\"token punctuation\">:<\/span><br \/>\n            <span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span>delta<span class=\"token punctuation\">.<\/span>reasoning_content<span class=\"token punctuation\">,<\/span> end<span class=\"token operator\">&#061;<\/span><span class=\"token string\">&#034;&#034;<\/span><span class=\"token punctuation\">,<\/span> flush<span class=\"token operator\">&#061;<\/span><span class=\"token boolean\">True<\/span><span class=\"token punctuation\">)<\/span><br \/>\n        reasoning_content <span class=\"token operator\">&#043;&#061;<\/span> delta<span class=\"token punctuation\">.<\/span>reasoning_content<br \/>\n    <span class=\"token keyword\">elif<\/span> <span class=\"token builtin\">hasattr<\/span><span class=\"token punctuation\">(<\/span>delta<span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#034;reasoning&#034;<\/span><span class=\"token punctuation\">)<\/span> <span class=\"token keyword\">and<\/span> delta<span class=\"token punctuation\">.<\/span>reasoning <span class=\"token keyword\">is<\/span> <span class=\"token keyword\">not<\/span> <span class=\"token boolean\">None<\/span><span class=\"token punctuation\">:<\/span><br \/>\n        <span class=\"token keyword\">if<\/span> <span class=\"token keyword\">not<\/span> is_answering<span class=\"token punctuation\">:<\/span><br \/>\n            <span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span>delta<span class=\"token punctuation\">.<\/span>reasoning<span class=\"token punctuation\">,<\/span> end<span class=\"token operator\">&#061;<\/span><span class=\"token string\">&#034;&#034;<\/span><span class=\"token punctuation\">,<\/span> flush<span class=\"token operator\">&#061;<\/span><span class=\"token boolean\">True<\/span><span class=\"token punctuation\">)<\/span><br \/>\n        reasoning_content <span class=\"token operator\">&#043;&#061;<\/span> delta<span class=\"token punctuation\">.<\/span>reasoning<\/p>\n<p>    <span class=\"token keyword\">if<\/span> <span class=\"token builtin\">hasattr<\/span><span class=\"token punctuation\">(<\/span>delta<span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#034;content&#034;<\/span><span class=\"token punctuation\">)<\/span> <span class=\"token keyword\">and<\/span> delta<span class=\"token punctuation\">.<\/span>content<span class=\"token punctuation\">:<\/span><br \/>\n        <span class=\"token keyword\">if<\/span> <span class=\"token keyword\">not<\/span> is_answering<span class=\"token punctuation\">:<\/span><br \/>\n            <span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;\\\\n&#034;<\/span> <span class=\"token operator\">&#043;<\/span> <span class=\"token string\">&#034;&#061;&#034;<\/span> <span class=\"token operator\">*<\/span> <span class=\"token number\">20<\/span> <span class=\"token operator\">&#043;<\/span> <span class=\"token string\">&#034;Answer&#034;<\/span> <span class=\"token operator\">&#043;<\/span> <span class=\"token string\">&#034;&#061;&#034;<\/span> <span class=\"token operator\">*<\/span> <span class=\"token number\">20<\/span> <span class=\"token operator\">&#043;<\/span> <span class=\"token string\">&#034;\\\\n&#034;<\/span><span class=\"token punctuation\">)<\/span><br \/>\n            is_answering <span class=\"token operator\">&#061;<\/span> <span class=\"token boolean\">True<\/span><br \/>\n        <span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span>delta<span class=\"token punctuation\">.<\/span>content<span class=\"token punctuation\">,<\/span> end<span class=\"token operator\">&#061;<\/span><span class=\"token string\">&#034;&#034;<\/span><span class=\"token punctuation\">,<\/span> flush<span class=\"token operator\">&#061;<\/span><span class=\"token boolean\">True<\/span><span class=\"token punctuation\">)<\/span><br \/>\n        answer_content <span class=\"token operator\">&#043;&#061;<\/span> delta<span class=\"token punctuation\">.<\/span>content<\/p>\n<p>messages<span class=\"token punctuation\">.<\/span>append<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">{<\/span><br \/>\n    <span class=\"token string\">&#034;role&#034;<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token string\">&#034;assistant&#034;<\/span><span class=\"token punctuation\">,<\/span><br \/>\n    <span class=\"token string\">&#034;content&#034;<\/span><span class=\"token punctuation\">:<\/span> answer_content<span class=\"token punctuation\">,<\/span><br \/>\n    <span class=\"token string\">&#034;reasoning_content&#034;<\/span><span class=\"token punctuation\">:<\/span> reasoning_content<span class=\"token punctuation\">,<\/span><br \/>\n    <span class=\"token string\">&#034;reasoning&#034;<\/span><span class=\"token punctuation\">:<\/span> reasoning_content<span class=\"token punctuation\">,<\/span><br \/>\n<span class=\"token punctuation\">}<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<h6>\u56fe\u50cf\u8f93\u5165<\/h6>\n<p><span class=\"token keyword\">from<\/span> openai <span class=\"token keyword\">import<\/span> OpenAI<br \/>\n<span class=\"token comment\"># Configured by environment variables<\/span><br \/>\nclient <span class=\"token operator\">&#061;<\/span> OpenAI<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p>messages <span class=\"token operator\">&#061;<\/span> <span class=\"token punctuation\">[<\/span><br \/>\n    <span class=\"token punctuation\">{<\/span><br \/>\n        <span class=\"token string\">&#034;role&#034;<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token string\">&#034;user&#034;<\/span><span class=\"token punctuation\">,<\/span><br \/>\n        <span class=\"token string\">&#034;content&#034;<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token punctuation\">[<\/span><br \/>\n            <span class=\"token punctuation\">{<\/span><br \/>\n                <span class=\"token string\">&#034;type&#034;<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token string\">&#034;image_url&#034;<\/span><span class=\"token punctuation\">,<\/span><br \/>\n                <span class=\"token string\">&#034;image_url&#034;<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token punctuation\">{<\/span><br \/>\n                    <span class=\"token string\">&#034;url&#034;<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token string\">&#034;https:\/\/qianwen-res.oss-accelerate.aliyuncs.com\/Qwen3.5\/demo\/CI_Demo\/mathv-1327.jpg&#034;<\/span><br \/>\n                <span class=\"token punctuation\">}<\/span><br \/>\n            <span class=\"token punctuation\">}<\/span><span class=\"token punctuation\">,<\/span><br \/>\n            <span class=\"token punctuation\">{<\/span><br \/>\n                <span class=\"token string\">&#034;type&#034;<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token string\">&#034;text&#034;<\/span><span class=\"token punctuation\">,<\/span><br \/>\n                <span class=\"token string\">&#034;text&#034;<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token string\">&#034;The centres of the four illustrated circles are in the corners of the square. The two big circles touch each other and also the two little circles. With which factor do you have to multiply the radii of the little circles to obtain the radius of the big circles?\\\\nChoices:\\\\n(A) $\\\\\\\\frac{2}{9}$\\\\n(B) $\\\\\\\\sqrt{5}$\\\\n(C) $0.8 \\\\\\\\cdot \\\\\\\\pi$\\\\n(D) 2.5\\\\n(E) $1&#043;\\\\\\\\sqrt{2}$&#034;<\/span><br \/>\n            <span class=\"token punctuation\">}<\/span><br \/>\n        <span class=\"token punctuation\">]<\/span><br \/>\n    <span class=\"token punctuation\">}<\/span><br \/>\n<span class=\"token punctuation\">]<\/span><\/p>\n<p>chat_response <span class=\"token operator\">&#061;<\/span> client<span class=\"token punctuation\">.<\/span>chat<span class=\"token punctuation\">.<\/span>completions<span class=\"token punctuation\">.<\/span>create<span class=\"token punctuation\">(<\/span><br \/>\n    model<span class=\"token operator\">&#061;<\/span><span class=\"token string\">&#034;Qwen\/Qwen3.8-Flash-Next&#034;<\/span><span class=\"token punctuation\">,<\/span><br \/>\n    messages<span class=\"token operator\">&#061;<\/span>messages<span class=\"token punctuation\">,<\/span><br \/>\n<span class=\"token punctuation\">)<\/span><br \/>\n<span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;Chat response:&#034;<\/span><span class=\"token punctuation\">,<\/span> chat_response<span class=\"token punctuation\">)<\/span><\/p>\n<h6>\u89c6\u9891\u8f93\u5165<\/h6>\n<p><span class=\"token keyword\">from<\/span> openai <span class=\"token keyword\">import<\/span> OpenAI<br \/>\n<span class=\"token comment\"># Configured by environment variables<\/span><br \/>\nclient <span class=\"token operator\">&#061;<\/span> OpenAI<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p>messages <span class=\"token operator\">&#061;<\/span> <span class=\"token punctuation\">[<\/span><br \/>\n    <span class=\"token punctuation\">{<\/span><br \/>\n        <span class=\"token string\">&#034;role&#034;<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token string\">&#034;user&#034;<\/span><span class=\"token punctuation\">,<\/span><br \/>\n        <span class=\"token string\">&#034;content&#034;<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token punctuation\">[<\/span><br \/>\n            <span class=\"token punctuation\">{<\/span><br \/>\n                <span class=\"token string\">&#034;type&#034;<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token string\">&#034;video_url&#034;<\/span><span class=\"token punctuation\">,<\/span><br \/>\n                <span class=\"token string\">&#034;video_url&#034;<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token punctuation\">{<\/span><br \/>\n                    <span class=\"token string\">&#034;url&#034;<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token string\">&#034;https:\/\/qianwen-res.oss-accelerate.aliyuncs.com\/Qwen3.5\/demo\/video\/N1cdUjctpG8.mp4&#034;<\/span><br \/>\n                <span class=\"token punctuation\">}<\/span><br \/>\n            <span class=\"token punctuation\">}<\/span><span class=\"token punctuation\">,<\/span><br \/>\n            <span class=\"token punctuation\">{<\/span><br \/>\n                <span class=\"token string\">&#034;type&#034;<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token string\">&#034;text&#034;<\/span><span class=\"token punctuation\">,<\/span><br \/>\n                <span class=\"token string\">&#034;text&#034;<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token string\">&#034;How many porcelain jars were discovered in the niches located in the primary chamber of the tomb?&#034;<\/span><br \/>\n            <span class=\"token punctuation\">}<\/span><br \/>\n        <span class=\"token punctuation\">]<\/span><br \/>\n    <span class=\"token punctuation\">}<\/span><br \/>\n<span class=\"token punctuation\">]<\/span><\/p>\n<p>chat_response <span class=\"token operator\">&#061;<\/span> client<span class=\"token punctuation\">.<\/span>chat<span class=\"token punctuation\">.<\/span>completions<span class=\"token punctuation\">.<\/span>create<span class=\"token punctuation\">(<\/span><br \/>\n    model<span class=\"token operator\">&#061;<\/span><span class=\"token string\">&#034;Qwen\/Qwen3.8-Flash-Next&#034;<\/span><span class=\"token punctuation\">,<\/span><br \/>\n    messages<span class=\"token operator\">&#061;<\/span>messages<span class=\"token punctuation\">,<\/span><br \/>\n<span class=\"token punctuation\">)<\/span><\/p>\n<p><span class=\"token comment\"># When vLLM is launched with &#096;&#8211;media-io-kwargs &#039;{&#034;video&#034;: {&#034;num_frames&#034;: -1}}&#039;&#096;,<\/span><br \/>\n<span class=\"token comment\"># video frame sampling can be configured via &#096;extra_body&#096; (e.g., by setting &#096;fps&#096;).<\/span><br \/>\n<span class=\"token comment\"># This feature is currently supported only in vLLM.<\/span><br \/>\n<span class=\"token comment\">#<\/span><br \/>\n<span class=\"token comment\"># By default, &#096;fps&#061;2&#096; and &#096;do_sample_frames&#061;True&#096;.<\/span><br \/>\n<span class=\"token comment\"># With &#096;do_sample_frames&#061;True&#096;, you can customize the &#096;fps&#096; value to set your desired video sampling rate.<\/span><br \/>\n<span class=\"token comment\"># chat_response &#061; client.chat.completions.create(<\/span><br \/>\n<span class=\"token comment\">#     model&#061;&#034;Qwen\/Qwen3.8-Flash-Next&#034;,<\/span><br \/>\n<span class=\"token comment\">#     messages&#061;messages,<\/span><br \/>\n<span class=\"token comment\">#     extra_body&#061;{<\/span><br \/>\n<span class=\"token comment\">#         &#034;mm_processor_kwargs&#034;: {&#034;fps&#034;: 2, &#034;do_sample_frames&#034;: True},<\/span><br \/>\n<span class=\"token comment\">#     }, <\/span><br \/>\n<span class=\"token comment\"># )<\/span><\/p>\n<p><span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;Chat response:&#034;<\/span><span class=\"token punctuation\">,<\/span> chat_response<span class=\"token punctuation\">)<\/span><\/p>\n<h6>\u6307\u4ee4&#xff08;\u6216\u975e\u601d\u8003&#xff09;\u6a21\u5f0f<\/h6>\n<p>Qwen3.8-Flash-Next \u9ed8\u8ba4\u4f1a\u5728\u56de\u590d\u524d\u8fdb\u884c\u601d\u8003\u3002 \u60a8\u53ef\u4ee5\u901a\u8fc7\u914d\u7f6e API \u53c2\u6570&#xff0c;\u83b7\u5f97\u6a21\u578b\u4e0d\u7ecf\u601d\u8003\u7684\u76f4\u63a5\u56de\u590d\u3002 \u4f8b\u5982&#xff0c;<\/p>\n<p><span class=\"token keyword\">from<\/span> openai <span class=\"token keyword\">import<\/span> OpenAI<br \/>\n<span class=\"token comment\"># Configured by environment variables<\/span><br \/>\nclient <span class=\"token operator\">&#061;<\/span> OpenAI<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p>messages <span class=\"token operator\">&#061;<\/span> <span class=\"token punctuation\">[<\/span><br \/>\n    <span class=\"token punctuation\">{<\/span><br \/>\n        <span class=\"token string\">&#034;role&#034;<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token string\">&#034;user&#034;<\/span><span class=\"token punctuation\">,<\/span><br \/>\n        <span class=\"token string\">&#034;content&#034;<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token punctuation\">[<\/span><br \/>\n            <span class=\"token punctuation\">{<\/span><br \/>\n                <span class=\"token string\">&#034;type&#034;<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token string\">&#034;image_url&#034;<\/span><span class=\"token punctuation\">,<\/span><br \/>\n                <span class=\"token string\">&#034;image_url&#034;<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token punctuation\">{<\/span><br \/>\n                    <span class=\"token string\">&#034;url&#034;<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token string\">&#034;https:\/\/qianwen-res.oss-accelerate.aliyuncs.com\/Qwen3.5\/demo\/RealWorld\/RealWorld-04.png&#034;<\/span><br \/>\n                <span class=\"token punctuation\">}<\/span><br \/>\n            <span class=\"token punctuation\">}<\/span><span class=\"token punctuation\">,<\/span><br \/>\n            <span class=\"token punctuation\">{<\/span><br \/>\n                <span class=\"token string\">&#034;type&#034;<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token string\">&#034;text&#034;<\/span><span class=\"token punctuation\">,<\/span><br \/>\n                <span class=\"token string\">&#034;text&#034;<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token string\">&#034;Where is this?&#034;<\/span><br \/>\n            <span class=\"token punctuation\">}<\/span><br \/>\n        <span class=\"token punctuation\">]<\/span><br \/>\n    <span class=\"token punctuation\">}<\/span><br \/>\n<span class=\"token punctuation\">]<\/span><\/p>\n<p>chat_response <span class=\"token operator\">&#061;<\/span> client<span class=\"token punctuation\">.<\/span>chat<span class=\"token punctuation\">.<\/span>completions<span class=\"token punctuation\">.<\/span>create<span class=\"token punctuation\">(<\/span><br \/>\n    model<span class=\"token operator\">&#061;<\/span><span class=\"token string\">&#034;Qwen\/Qwen3.8-Flash-Next&#034;<\/span><span class=\"token punctuation\">,<\/span><br \/>\n    messages<span class=\"token operator\">&#061;<\/span>messages<span class=\"token punctuation\">,<\/span><br \/>\n    temperature<span class=\"token operator\">&#061;<\/span><span class=\"token number\">0.7<\/span><span class=\"token punctuation\">,<\/span><br \/>\n    top_p<span class=\"token operator\">&#061;<\/span><span class=\"token number\">0.8<\/span><span class=\"token punctuation\">,<\/span><br \/>\n    presence_penalty<span class=\"token operator\">&#061;<\/span><span class=\"token number\">1.5<\/span><span class=\"token punctuation\">,<\/span><br \/>\n    extra_body<span class=\"token operator\">&#061;<\/span><span class=\"token punctuation\">{<\/span><br \/>\n        <span class=\"token string\">&#034;top_k&#034;<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token number\">20<\/span><span class=\"token punctuation\">,<\/span><br \/>\n        <span class=\"token string\">&#034;chat_template_kwargs&#034;<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token punctuation\">{<\/span><span class=\"token string\">&#034;enable_thinking&#034;<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token boolean\">False<\/span><span class=\"token punctuation\">}<\/span><span class=\"token punctuation\">,<\/span><br \/>\n    <span class=\"token punctuation\">}<\/span><span class=\"token punctuation\">,<\/span><br \/>\n<span class=\"token punctuation\">)<\/span><br \/>\n<span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;Chat response:&#034;<\/span><span class=\"token punctuation\">,<\/span> chat_response<span class=\"token punctuation\">)<\/span><\/p>\n<p>[!Note] \u5982\u679c\u60a8\u4f7f\u7528 Qwen Cloud \u7684 API&#xff0c;\u9664\u4e86\u66f4\u6539 model \u4e4b\u5916&#xff0c;\u8bf7\u76f4\u63a5\u4f7f\u7528 &#034;enable_thinking&#034;: False&#xff0c;\u800c\u4e0d\u8981\u4f7f\u7528 &#034;chat_template_kwargs&#034;: {&#034;enable_thinking&#034;: False}\u3002<\/p>\n<h6>\u7981\u7528\u4fdd\u7559\u601d\u8003&#xff08;Disable Preserved Thinking&#xff09;<\/h6>\n<p>\u9ed8\u8ba4\u60c5\u51b5\u4e0b&#xff0c;Qwen3.8-Flash-Next \u4f1a\u4fdd\u7559\u6240\u6709\u5386\u53f2\u6d88\u606f\u4e2d\u7684\u601d\u8003\u5757&#xff0c;\u4ece\u800c\u5728\u6574\u6bb5\u5bf9\u8bdd\u4e2d\u7ef4\u6301\u5b8c\u6574\u7684\u63a8\u7406\u8f68\u8ff9\u3002\u8fd9\u79cd\u88ab\u79f0\u4e3a&#034;\u4fdd\u7559\u601d\u8003&#034;&#xff08;preserved thinking&#xff09;\u7684\u884c\u4e3a\u53ef\u786e\u4fdd\u5b8c\u6574\u7684\u4e0a\u4e0b\u6587\u8fde\u7eed\u6027&#xff0c;\u5bf9\u4e8e\u51b3\u7b56\u4e00\u81f4\u6027\u81f3\u5173\u91cd\u8981\u3001\u5e76\u80fd\u51cf\u5c11\u5197\u4f59\u63a8\u7406\u7684\u667a\u80fd\u4f53\u573a\u666f\u5c24\u5176\u6709\u76ca\u3002\u5b83\u8fd8\u80fd\u63d0\u5347 KV \u7f13\u5b58\u5229\u7528\u7387&#xff0c;\u5728\u601d\u8003\u548c\u975e\u601d\u8003\u6a21\u5f0f\u4e0b\u90fd\u4f18\u5316\u63a8\u7406\u6548\u7387\u3002<\/p>\n<p>\u5982\u679c\u60a8\u53ea\u5e0c\u671b\u4fdd\u7559\u6700\u65b0\u7528\u6237\u6d88\u606f\u4e2d\u7684\u601d\u8003\u5757&#xff0c;\u53ef\u4ee5\u901a\u8fc7\u5c06 preserve_thinking \u8bbe\u7f6e\u4e3a False \u6765\u7981\u7528\u6b64\u884c\u4e3a&#xff1a;<\/p>\n<p><span class=\"token keyword\">from<\/span> openai <span class=\"token keyword\">import<\/span> OpenAI<\/p>\n<p><span class=\"token comment\"># Configured by environment variables<\/span><br \/>\nclient <span class=\"token operator\">&#061;<\/span> OpenAI<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><br \/>\nmessages <span class=\"token operator\">&#061;<\/span> <span class=\"token punctuation\">[<\/span><span class=\"token punctuation\">.<\/span><span class=\"token punctuation\">.<\/span><span class=\"token punctuation\">.<\/span><span class=\"token punctuation\">]<\/span><br \/>\nchat_response <span class=\"token operator\">&#061;<\/span> client<span class=\"token punctuation\">.<\/span>chat<span class=\"token punctuation\">.<\/span>completions<span class=\"token punctuation\">.<\/span>create<span class=\"token punctuation\">(<\/span><br \/>\n    model<span class=\"token operator\">&#061;<\/span><span class=\"token string\">&#034;Qwen\/Qwen3.8-Flash-Next&#034;<\/span><span class=\"token punctuation\">,<\/span><br \/>\n    messages<span class=\"token operator\">&#061;<\/span>messages<span class=\"token punctuation\">,<\/span><br \/>\n    extra_body<span class=\"token operator\">&#061;<\/span><span class=\"token punctuation\">{<\/span><br \/>\n        <span class=\"token string\">&#034;chat_template_kwargs&#034;<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token punctuation\">{<\/span><span class=\"token string\">&#034;preserve_thinking&#034;<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token boolean\">False<\/span><span class=\"token punctuation\">}<\/span><span class=\"token punctuation\">,<\/span><br \/>\n    <span class=\"token punctuation\">}<\/span><span class=\"token punctuation\">,<\/span><br \/>\n<span class=\"token punctuation\">)<\/span><br \/>\n<span class=\"token keyword\">print<\/span><span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;Chat response:&#034;<\/span><span class=\"token punctuation\">,<\/span> chat_response<span class=\"token punctuation\">)<\/span><\/p>\n<p>[!Note] \u5982\u679c\u60a8\u4f7f\u7528 Qwen Cloud \u7684 API&#xff0c;\u9664\u4e86\u66f4\u6539 model \u4e4b\u5916&#xff0c;\u8bf7\u76f4\u63a5\u4f7f\u7528 &#034;preserve_thinking&#034;: False&#xff0c;\u800c\u4e0d\u8981\u5c06\u5176\u5305\u88f9\u5728 chat_template_kwargs \u4e2d\u3002<\/p>\n<h3>\u6700\u4f73\u5b9e\u8df5<\/h3>\n<p>\u4e3a\u4e86\u83b7\u5f97\u6700\u4f73\u6027\u80fd&#xff0c;\u6211\u4eec\u63a8\u8350\u4ee5\u4e0b\u8bbe\u7f6e&#xff1a;<\/p>\n<li>\n<p>\u91c7\u6837\u53c2\u6570&#xff1a;\u6211\u4eec\u5efa\u8bae\u4f7f\u7528\u4ee5\u4e0b\u91c7\u6837\u53c2\u6570\u7ec4\u5408&#xff1a;<\/p>\n<ul>\n<li>\u601d\u8003\u6a21\u5f0f&#xff1a;temperature&#061;1.0\u3001top_p&#061;0.95\u3001top_k&#061;20\u3001min_p&#061;0.0\u3001presence_penalty&#061;0.0\u3001repetition_penalty&#061;1.0<\/li>\n<li>\u6307\u4ee4&#xff08;\u6216\u975e\u601d\u8003&#xff09;\u6a21\u5f0f&#xff1a;temperature&#061;0.7\u3001top_p&#061;0.80\u3001top_k&#061;20\u3001min_p&#061;0.0\u3001presence_penalty&#061;1.5\u3001repetition_penalty&#061;1.0<\/li>\n<\/ul>\n<p>\u5bf9\u4e8e\u53d7\u652f\u6301\u7684\u6846\u67b6&#xff0c;\u60a8\u53ef\u4ee5\u8c03\u6574 presence_penalty \u53c2\u6570&#xff08;\u53d6\u503c\u5728 0 \u5230 2 \u4e4b\u95f4&#xff09;\u4ee5\u51cf\u5c11\u65e0\u4f11\u6b62\u7684\u91cd\u590d\u3002\u4f46\u662f&#xff0c;\u4f7f\u7528\u8f83\u5927\u7684\u503c\u6709\u65f6\u53ef\u80fd\u5bfc\u81f4\u8bed\u8a00\u6df7\u7528\u548c\u6a21\u578b\u6027\u80fd\u8f7b\u5fae\u4e0b\u964d\u3002<\/p>\n<\/li>\n<li>\n<p>\u5145\u8db3\u7684\u8f93\u51fa\u957f\u5ea6&#xff1a;\u4e3a\u4f18\u5316\u667a\u80fd\u4f53\u4efb\u52a1\u7684\u6027\u80fd&#xff0c;\u6211\u4eec\u5efa\u8bae\u5206\u914d\u8db3\u591f\u7684\u8f93\u51fa\u957f\u5ea6&#xff0c;\u8ba9\u6a21\u578b\u80fd\u591f\u751f\u6210\u8be6\u7ec6\u800c\u5168\u9762\u7684\u56de\u590d\u3002\u5bf9\u4e8e\u652f\u6301\u4e3a\u5185\u90e8\u63a8\u7406\u548c\u6700\u7ec8\u8f93\u51fa\u5206\u522b\u8bbe\u7f6e token \u4e0a\u9650\u7684\u6846\u67b6&#xff0c;\u6211\u4eec\u5efa\u8bae\u5728 1M \u4e0a\u4e0b\u6587\u957f\u5ea6\u5185\u91c7\u7528\u4ee5\u4e0b\u914d\u7f6e&#xff1a;<\/p>\n<ul>\n<li>\u601d\u8003\u5185\u5bb9&#xff08;Reasoning Content&#xff09;&#xff1a;\u5c06\u6700\u5927\u8f93\u51fa\u957f\u5ea6\u8bbe\u7f6e\u4e3a 262,144 \u4e2a token\u3002<\/li>\n<li>\u6700\u7ec8\u56de\u590d&#xff08;Final Response&#xff09;&#xff1a;\u5c06\u6700\u5927\u8f93\u51fa\u957f\u5ea6\u8bbe\u7f6e\u4e3a 131,072 \u4e2a token\u3002<\/li>\n<\/ul>\n<p>\u8fd9\u4e9b\u8bbe\u7f6e\u4e3a\u590d\u6742\u63a8\u7406\u63d0\u4f9b\u4e86\u5fc5\u8981\u7684\u5bb9\u91cf&#xff0c;\u540c\u65f6\u4e3a\u9ad8\u8d28\u91cf\u6700\u7ec8\u4ea4\u4ed8\u6210\u679c\u7559\u51fa\u5145\u8db3\u7a7a\u95f4\u3002<\/p>\n<\/li>\n<li>\n<p>\u5904\u7406\u8d85\u957f\u6587\u672c&#xff1a;Qwen3.8-Flash-Next \u539f\u751f\u652f\u6301\u6700\u957f 262,144 \u4e2a token \u7684\u4e0a\u4e0b\u6587\u957f\u5ea6\u3002\u5bf9\u4e8e\u603b\u957f\u5ea6&#xff08;\u5305\u62ec\u8f93\u5165\u548c\u8f93\u51fa&#xff09;\u8d85\u8fc7\u6b64\u9650\u5236\u7684\u957f\u5468\u671f\u4efb\u52a1&#xff0c;\u6211\u4eec\u63a8\u8350\u4f7f\u7528 RoPE \u7f29\u653e\u6280\u672f\u6765\u6709\u6548\u5904\u7406\u957f\u6587\u672c&#xff0c;\u4f8b\u5982 YaRN\u3002<\/p>\n<p>YaRN \u76ee\u524d\u53d7\u591a\u4e2a\u63a8\u7406\u6846\u67b6\u652f\u6301&#xff0c;\u4f8b\u5982 vLLM\u3001SGLang \u548c TokenSpeed\u3002 \u901a\u5e38&#xff0c;\u5bf9\u4e8e\u53d7\u652f\u6301\u7684\u6846\u67b6&#xff0c;\u6709\u4e24\u79cd\u65b9\u5f0f\u542f\u7528 YaRN&#xff1a;<\/p>\n<ul>\n<li>\n<p>\u4fee\u6539\u6a21\u578b\u914d\u7f6e\u6587\u4ef6&#xff1a;<\/p>\n<p>\u5728 config.json \u6587\u4ef6\u4e2d&#xff0c;\u5c06 text_config \u4e2d\u7684 rope_parameters \u5b57\u6bb5\u6539\u4e3a&#xff1a;<\/p>\n<p> <span class=\"token punctuation\">{<\/span><br \/>\n    <span class=\"token string-property property\">&#034;mrope_interleaved&#034;<\/span><span class=\"token operator\">:<\/span> <span class=\"token boolean\">true<\/span><span class=\"token punctuation\">,<\/span><br \/>\n    <span class=\"token string-property property\">&#034;mrope_section&#034;<\/span><span class=\"token operator\">:<\/span> <span class=\"token punctuation\">[<\/span><br \/>\n        <span class=\"token number\">11<\/span><span class=\"token punctuation\">,<\/span><br \/>\n        <span class=\"token number\">11<\/span><span class=\"token punctuation\">,<\/span><br \/>\n        <span class=\"token number\">10<\/span><br \/>\n    <span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">,<\/span><br \/>\n    <span class=\"token string-property property\">&#034;rope_type&#034;<\/span><span class=\"token operator\">:<\/span> <span class=\"token string\">&#034;yarn&#034;<\/span><span class=\"token punctuation\">,<\/span><br \/>\n    <span class=\"token string-property property\">&#034;rope_theta&#034;<\/span><span class=\"token operator\">:<\/span> <span class=\"token number\">10000000<\/span><span class=\"token punctuation\">,<\/span><br \/>\n    <span class=\"token string-property property\">&#034;partial_rotary_factor&#034;<\/span><span class=\"token operator\">:<\/span> <span class=\"token number\">0.25<\/span><span class=\"token punctuation\">,<\/span><br \/>\n    <span class=\"token string-property property\">&#034;factor&#034;<\/span><span class=\"token operator\">:<\/span> <span class=\"token number\">4.0<\/span><span class=\"token punctuation\">,<\/span><br \/>\n    <span class=\"token string-property property\">&#034;original_max_position_embeddings&#034;<\/span><span class=\"token operator\">:<\/span> <span class=\"token number\">262144<\/span><br \/>\n<span class=\"token punctuation\">}<\/span>\n <\/li>\n<li>\n<p>\u4f20\u9012\u547d\u4ee4\u884c\u53c2\u6570&#xff1a;<\/p>\n<p>\u5bf9\u4e8e vLLM&#xff0c;\u60a8\u53ef\u4ee5\u4f7f\u7528<\/p>\n<p> <span class=\"token assign-left variable\">VLLM_ALLOW_LONG_MAX_MODEL_LEN<\/span><span class=\"token operator\">&#061;<\/span><span class=\"token number\">1<\/span> vllm serve <span class=\"token punctuation\">..<\/span>. &#8211;hf-overrides <span class=\"token string\">&#039;{&#034;text_config&#034;: {&#034;rope_parameters&#034;: {&#034;mrope_interleaved&#034;: true, &#034;mrope_section&#034;: [11, 11, 10], &#034;rope_type&#034;: &#034;yarn&#034;, &#034;rope_theta&#034;: 10000000, &#034;partial_rotary_factor&#034;: 0.25, &#034;factor&#034;: 4.0, &#034;original_max_position_embeddings&#034;: 262144}}}&#039;<\/span> &#8211;max-model-len <span class=\"token number\">1000000<\/span>  <\/p>\n<p>\u5bf9\u4e8e SGLang&#xff0c;\u60a8\u53ef\u4ee5\u4f7f\u7528<\/p>\n<p> <span class=\"token assign-left variable\">SGLANG_ALLOW_OVERWRITE_LONGER_CONTEXT_LEN<\/span><span class=\"token operator\">&#061;<\/span><span class=\"token number\">1<\/span> python <span class=\"token parameter variable\">-m<\/span> sglang.launch_server <span class=\"token punctuation\">..<\/span>. &#8211;json-model-override-args <span class=\"token string\">&#039;{&#034;text_config&#034;: {&#034;rope_parameters&#034;: {&#034;mrope_interleaved&#034;: true, &#034;mrope_section&#034;: [11, 11, 10], &#034;rope_type&#034;: &#034;yarn&#034;, &#034;rope_theta&#034;: 10000000, &#034;partial_rotary_factor&#034;: 0.25, &#034;factor&#034;: 4.0, 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