{"id":76569,"date":"2026-02-22T19:57:48","date_gmt":"2026-02-22T11:57:48","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/76569.html"},"modified":"2026-02-22T19:57:48","modified_gmt":"2026-02-22T11:57:48","slug":"2026%e5%b9%b4%e6%98%a5%e8%8a%82%e5%90%8e%ef%bc%8cai%e5%a4%a7%e6%a8%a1%e5%9e%8b%e6%a0%bc%e5%b1%80%e5%bd%bb%e5%ba%95%e5%8f%98%e4%ba%86-claude-4-6%e3%80%81gpt-5-2%e4%b8%8e%e5%85%ad","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/76569.html","title":{"rendered":"2026\u5e74\u6625\u8282\u540e\uff0cAI\u5927\u6a21\u578b\u683c\u5c40\u5f7b\u5e95\u53d8\u4e86\u2014\u2014Claude 4.6\u3001GPT-5.2\u4e0e\u516d\u5927\u56fd\u4ea7\u6a21\u578b\u5168\u9762\u6a2a\u8bc4"},"content":{"rendered":"

\u00a0<\/h2>\n

\u6570\u636e\u6765\u6e90：Anthropic\u5b98\u65b9\u57fa\u51c6\u3001VentureBeat\u3001DigitalApplied\u3001Latent Space\u7b49，\u6d4b\u8bc4\u622a\u6b62\u65e5\u671f：2026\u5e742\u670819\u65e5\u3002\u7531\u4e8e\u56fd\u5185\u65e0\u6cd5\u4f7f\u7528Claude\u548cChatGPT\u5b98\u7f51，\u56e0\u6b64\u4f7f\u7528\u955c\u50cf\u7ad9\u53ef\u4ee5\u4f7f\u7528ChatGPT\u548cClaude\u3002\u6ce8\u518c\u5165\u53e3：AIGCBAR\u955c\u50cf\u7ad9<\/p>\n

\n

\u6625\u8282\u521a\u8fc7，AI\u5708\u70b8\u4e86\u3002 \u77ed\u77ed\u4e24\u5468\u5185，Anthropic\u53d1\u5e03Claude Sonnet 4.6\u4e0eOpus 4.6\u3001\u963f\u91cc\u4e91\u63a8\u51faQwen 3.5\u3001\u667a\u8c31AI\u4e0a\u7ebfGLM-5\u3001\u6708\u4e4b\u6697\u9762\u53d1\u5e03Kimi K2.5\u3001\u5b57\u8282\u8df3\u52a8\u63a8\u51faDoubao 2.0\u2026\u2026\u4e2d\u7f8e\u9876\u7ea7AI\u5b9e\u9a8c\u5ba4\u51e0\u4e4e\u540c\u6b65\u62c9\u5f00\u4e862026\u5e74\u7684"\u6625\u5b63\u5927\u6218"\u3002<\/p>\n

\u8fd9\u7bc7\u6587\u7ae0\u5e2e\u4f60\u641e\u6e05\u695a：\u8c01\u6700\u5f3a？\u8c01\u6700\u5212\u7b97？\u56fd\u4ea7\u6a21\u578b\u5230\u5e95\u8ffd\u4e0a\u6765\u4e86\u5417？<\/p>\n

\n

\u4e00\u3001\u672c\u6b21\u53c2\u6d4b\u9635\u5bb9<\/h3>\n\n\u6a21\u578b\u5382\u5546\u53d1\u5e03\u65f6\u95f4\u67b6\u6784\u53c2\u6570\u91cf<\/tr>\n\n\n\n\n\n\n\n\n\n\n
Claude Opus 4.6<\/td>\nAnthropic（\u7f8e）<\/td>\n2026\u5e742\u6708<\/td>\nDense<\/td>\n\u672a\u516c\u5f00<\/td>\n<\/tr>\n
Claude Sonnet 4.6<\/td>\nAnthropic（\u7f8e）<\/td>\n2026\u5e742\u6708<\/td>\nDense<\/td>\n\u672a\u516c\u5f00<\/td>\n<\/tr>\n
GPT-5.2<\/td>\nOpenAI（\u7f8e）<\/td>\n2025\u5e74\u4e0b\u534a\u5e74<\/td>\nDense<\/td>\n\u672a\u516c\u5f00<\/td>\n<\/tr>\n
Qwen 3.5<\/td>\n\u963f\u91cc\u4e91<\/td>\n2026\u5e742\u670816\u65e5<\/td>\nMoE (397B\/17B\u6fc0\u6d3b)<\/td>\n3970\u4ebf<\/td>\n<\/tr>\n
GLM-5<\/td>\n\u667a\u8c31AI (Z.AI)<\/td>\n2026\u5e742\u670811\u65e5<\/td>\nMoE (744B\/40B\u6fc0\u6d3b)<\/td>\n7440\u4ebf<\/td>\n<\/tr>\n
Kimi K2.5<\/td>\n\u6708\u4e4b\u6697\u9762<\/td>\n2026\u5e741\u6708\u5e95<\/td>\nMoE<\/td>\n~1\u4e07\u4ebf<\/td>\n<\/tr>\n
\u6587\u5fc35（ERNIE-X1）<\/td>\n\u767e\u5ea6<\/td>\n2025\u5e74\u4e0b\u534a\u5e74<\/td>\nMoE<\/td>\n\u672a\u516c\u5f00<\/td>\n<\/tr>\n
DeepSeek V3.2<\/td>\n\u6df1\u5ea6\u6c42\u7d22<\/td>\n2026\u5e742\u6708<\/td>\nMoE<\/td>\n6730\u4ebf<\/td>\n<\/tr>\n
\u8c46\u5305 2.0（Doubao 2.0）<\/td>\n\u5b57\u8282\u8df3\u52a8<\/td>\n2026\u5e742\u6708<\/td>\n\u591a\u6a21\u6001<\/td>\n\u672a\u516c\u5f00<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
\n

\u4e8c\u3001\u7efc\u5408\u80fd\u529b\u6a2a\u8bc4<\/h3>\n

2.1 \u7f16\u7a0b\u80fd\u529b（SWE-bench Verified）<\/h4>\n

\u8fd9\u662f\u76ee\u524d\u6700\u80fd\u53cd\u6620\u6a21\u578b"\u771f\u5b9e\u5199\u4ee3\u7801"\u80fd\u529b\u7684\u57fa\u51c6，\u6a21\u62df\u4fee\u590d\u5f00\u6e90\u9879\u76ee\u4e2d\u7684\u771f\u5b9eBug\u3002<\/p>\n\n\u6a21\u578bSWE-bench Verified\u6392\u540d<\/tr>\n\n\n\n\n\n\n\n\n\n\n
Claude Opus 4.6<\/td>\n80.8%<\/td>\n🥇 \u7b2c1<\/td>\n<\/tr>\n
Claude Sonnet 4.6<\/td>\n79.6%<\/td>\n🥈 \u7b2c2<\/td>\n<\/tr>\n
GLM-5<\/td>\n77.8%<\/td>\n🥉 \u7b2c3<\/td>\n<\/tr>\n
Qwen 3.5<\/td>\n76.4%<\/td>\n\u7b2c4<\/td>\n<\/tr>\n
Kimi K2.5<\/td>\n~75%（\u4f30\u7b97）<\/td>\n\u7b2c5<\/td>\n<\/tr>\n
GPT-5.2<\/td>\n64.7%（Terminal-Bench 2.0\u53c2\u8003）<\/td>\n\u7b2c6<\/td>\n<\/tr>\n
DeepSeek V3.2<\/td>\n\u7ea667%（\u4f30\u7b97）<\/td>\n\u7b2c7<\/td>\n<\/tr>\n
\u6587\u5fc35<\/td>\n\u672a\u516c\u5f00<\/td>\n\u2014<\/td>\n<\/tr>\n
\u8c46\u5305 2.0<\/td>\n\u672a\u516c\u5f00<\/td>\n\u2014<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u7ed3\u8bba： Claude Opus 4.6\u4ee580.8%\u8749\u8054\u699c\u9996，\u4f46\u56fd\u4ea7\u6a21\u578bGLM-5（77.8%）\u548cQwen 3.5（76.4%）\u5df2\u7ecf\u903c\u8fd1，\u5dee\u8ddd\u7f29\u5c0f\u81f3\u4e2a\u4f4d\u6570\u3002GPT-5.2\u5728\u7f16\u7a0b\u80fd\u529b\u4e0a\u610f\u5916\u843d\u540e，\u4ec564.7%，\u662f\u672c\u6b21\u6a2a\u8bc4\u4e2d\u6700\u5927\u7684"\u8dcc\u773c\u955c"\u3002<\/p>\n

\n

2.2 \u8ba1\u7b97\u673a\u64cd\u4f5c\/Agent\u80fd\u529b（OSWorld-Verified）<\/h4>\n

\u8fd9\u4e2a\u57fa\u51c6\u6d4b\u8bd5AI\u6a21\u578b\u5728\u771f\u5b9e\u7535\u8111\u684c\u9762\u4e0a\u5b8c\u6210\u4efb\u52a1\u7684\u80fd\u529b，\u662f\u8861\u91cfAgent\u6c34\u5e73\u7684\u6838\u5fc3\u6307\u6807\u3002<\/p>\n\n\u6a21\u578bOSWorld-Verified\u6392\u540d<\/tr>\n\n\n\n\n\n\n\n\n
Claude Opus 4.6<\/td>\n72.7%<\/td>\n🥇 \u7b2c1<\/td>\n<\/tr>\n
Claude Sonnet 4.6<\/td>\n72.5%<\/td>\n🥈 \u7b2c2（\u5dee\u8ddd\u4ec50.2%！）<\/td>\n<\/tr>\n
Kimi K2.5<\/td>\nAgent Swarm 4.5x\u52a0\u901f<\/td>\n\u7b2c3（\u67b6\u6784\u4e0d\u540c，\u96be\u76f4\u6bd4）<\/td>\n<\/tr>\n
GLM-5<\/td>\nBrowseComp\u6700\u9ad8<\/td>\n\u7b2c4（\u641c\u7d22Agent\u7b2c\u4e00）<\/td>\n<\/tr>\n
Qwen 3.5<\/td>\n\u7ea660%（\u4f30\u7b97）<\/td>\n\u7b2c5<\/td>\n<\/tr>\n
GPT-5.2<\/td>\n38.2%<\/td>\n\u7b2c6（\u843d\u540e\u8fd1\u4e00\u500d！）<\/td>\n<\/tr>\n
DeepSeek V3.2<\/td>\n\u7ea645%（\u4f30\u7b97）<\/td>\n\u7b2c7<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u7ed3\u8bba： Claude\u7cfb\u5217\u5728Agent\/\u8ba1\u7b97\u673a\u64cd\u4f5c\u4e0a\u5efa\u7acb\u4e86\u660e\u663e\u9886\u5148\u4f18\u52bf\u3002GPT-5.2\u4ee538.2%\u57ab\u5e95，\u51e0\u4e4e\u53ea\u6709Claude\u7684\u4e00\u534a\u2014\u2014\u8fd9\u662f\u672c\u6b21\u6d4b\u8bc4\u4e2d\u5dee\u8ddd\u6700\u60ac\u6b8a\u7684\u7ef4\u5ea6\u3002Kimi K2.5\u7684Agent Swarm\u6280\u672f（100\u4e2a\u5b50Agent\u5e76\u884c）\u662f\u4e00\u4e2a\u5dee\u5f02\u5316\u4eae\u70b9，\u957f\u4efb\u52a1\u6267\u884c\u901f\u5ea6\u63d0\u53474.5\u500d\u3002<\/p>\n

\n

2.3 \u6570\u5b66\/\u63a8\u7406\u80fd\u529b（AIME 2026）<\/h4>\n

\u6570\u5b66\u7ade\u8d5b\u9898\u662f\u6d4b\u8bd5\u6a21\u578b\u6781\u9650\u63a8\u7406\u80fd\u529b\u7684"\u9ad8\u8003"\u3002<\/p>\n\n\u6a21\u578bAIME 2026 \u51c6\u786e\u7387\u6392\u540d<\/tr>\n\n\n\n\n\n\n\n
Claude Opus 4.6<\/td>\nARC-AGI-2 68.8%（\u53c2\u8003）<\/td>\n\u5f3a\u63a8\u7406<\/td>\n<\/tr>\n
Kimi K2.5<\/td>\n93.33%<\/td>\n🥇 \u7b2c1<\/td>\n<\/tr>\n
DeepSeek V3.2<\/td>\n91.67%<\/td>\n🥈 \u7b2c2<\/td>\n<\/tr>\n
GPT-5.2<\/td>\n\u7ea685%（\u4f30\u7b97）<\/td>\n\u7b2c3<\/td>\n<\/tr>\n
Qwen 3.5<\/td>\nAIME 2026 91.3%<\/td>\n\u7b2c4<\/td>\n<\/tr>\n
GLM-5<\/td>\n\u7ea680%（\u4f30\u7b97）<\/td>\n\u7b2c5<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u7ed3\u8bba： \u6570\u5b66\u63a8\u7406\u662f\u56fd\u4ea7\u6a21\u578b\u8868\u73b0\u6700\u4eae\u773c\u7684\u7ef4\u5ea6\u3002Kimi K2.5\u4ee593.33%\u62ff\u4e0b\u7b2c\u4e00，DeepSeek V3.2\u7d27\u968f\u5176\u540e，Qwen 3.5\u4e5f\u4ee591.3%\u8dfb\u8eab\u524d\u5217\u3002Claude Opus 4.6\u5728ARC-AGI-2\u4e0a\u5f97\u523068.8%，\u8f83\u4e0a\u4e00\u4ee3\u7ffb\u756a，\u4ee3\u8868\u5bf9"\u65b0\u578b\u63a8\u7406"\u7684\u7a81\u7834\u3002<\/p>\n

\n

2.4 \u4e0a\u4e0b\u6587\u7a97\u53e3\u4e0e\u6587\u6863\u7406\u89e3<\/h4>\n\n\u6a21\u578b\u6700\u5927\u4e0a\u4e0b\u6587\u7279\u70b9<\/tr>\n\n\n\n\n\n\n\n\n\n\n
Claude Opus 4.6<\/td>\n1M tokens（Beta）<\/td>\nMRCR v2 76%（1M context）<\/td>\n<\/tr>\n
Claude Sonnet 4.6<\/td>\n1M tokens（Beta）<\/td>\n\u4f01\u4e1a\u6587\u6863OfficeQA\u4e0eOpus\u6301\u5e73<\/td>\n<\/tr>\n
Kimi K2.5<\/td>\n1M tokens<\/td>\n\u957f\u6587\u6863\u5904\u7406\u5f3a<\/td>\n<\/tr>\n
Qwen 3.5<\/td>\n1M tokens<\/td>\n1M\u68c0\u7d22\u6210\u672c\u4ec5\u7ea6$0.18<\/td>\n<\/tr>\n
GLM-5<\/td>\n200K tokens<\/td>\n128K\u6700\u5927\u8f93\u51fa<\/td>\n<\/tr>\n
DeepSeek V3.2<\/td>\n128K tokens<\/td>\nDSA\u7a00\u758f\u6ce8\u610f\u529b\u964d\u4f4e\u63a8\u7406\u6210\u672c<\/td>\n<\/tr>\n
GPT-5.2<\/td>\n128K tokens<\/td>\n\u6807\u51c6\u914d\u7f6e<\/td>\n<\/tr>\n
\u8c46\u5305 2.0<\/td>\n\u672a\u516c\u5f00<\/td>\n\u591a\u6a21\u6001（\u6587\/\u56fe\/\u89c6\u9891）\u4e00\u4f53<\/td>\n<\/tr>\n
\u6587\u5fc35<\/td>\n\u672a\u516c\u5f00<\/td>\n\u56fd\u5185\u751f\u6001\u96c6\u6210\u4e3a\u4e3b<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
\n

\u4e09\u3001\u4ef7\u683c\u6a2a\u8bc4：\u8c01\u6700\u5212\u7b97？<\/h3>\n

\u8fd9\u5f80\u5f80\u6bd4\u80fd\u529b\u672c\u8eab\u66f4\u91cd\u8981\u2014\u2014\u56e0\u4e3a\u4f01\u4e1a\u7ea7\u5e94\u7528\u9700\u8981\u767e\u4e07\u7ea7API\u8c03\u7528\u3002<\/p>\n\n\u6a21\u578b\u8f93\u5165（\/\u767e\u4e07tokens）\u8f93\u51fa（\/\u767e\u4e07tokens）\u6027\u4ef7\u6bd4\u8bc4\u7ea7<\/tr>\n\n\n\n\n\n\n\n\n\n\n
Claude Sonnet 4.6<\/td>\n$3<\/td>\n$15<\/td>\n\u2b50\u2b50\u2b50\u2b50\u2b50 \u6781\u4f18<\/td>\n<\/tr>\n
Claude Opus 4.6<\/td>\n$15<\/td>\n$75<\/td>\n\u2b50\u2b50\u2b50 \u504f\u8d35\u4f46\u9876\u7ea7<\/td>\n<\/tr>\n
GPT-5.2<\/td>\n\u7ea6$15+<\/td>\n\u7ea6$60+<\/td>\n\u2b50\u2b50 \u8d35<\/td>\n<\/tr>\n
Qwen 3.5<\/td>\n~$0.20（\u4e91\u7aefAPI）<\/td>\n~$0.60<\/td>\n\u2b50\u2b50\u2b50\u2b50\u2b50 \u6781\u4f18<\/td>\n<\/tr>\n
GLM-5<\/td>\n$0.80<\/td>\n$2.56<\/td>\n\u2b50\u2b50\u2b50\u2b50 \u4f18<\/td>\n<\/tr>\n
Kimi K2.5<\/td>\n$0.45<\/td>\n$2.25<\/td>\n\u2b50\u2b50\u2b50\u2b50 \u4f18<\/td>\n<\/tr>\n
DeepSeek V3.2<\/td>\n$0.27<\/td>\n$0.41<\/td>\n\u2b50\u2b50\u2b50\u2b50\u2b50 \u4ef7\u683c\u6700\u4f4e<\/td>\n<\/tr>\n
\u6587\u5fc35<\/td>\n\u56fd\u5185\u5b9a\u4ef7<\/td>\n\u56fd\u5185\u5b9a\u4ef7<\/td>\n\u9002\u5408\u56fd\u5185\u4f01\u4e1a<\/td>\n<\/tr>\n
\u8c46\u5305 2.0<\/td>\n\u56fd\u5185\u5b9a\u4ef7<\/td>\n\u56fd\u5185\u5b9a\u4ef7<\/td>\n\u591a\u6a21\u6001\u4e00\u4f53\u65b9\u6848<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u4ef7\u683c\u6700\u98a0\u8986\u6027\u7684\u53d1\u73b0： Claude Sonnet 4.6\u4ee5 $3\/$15 \u7684\u4ef7\u683c\u63d0\u4f9b\u4e86\u63a5\u8fd1Opus\u7ea7\u522b\u7684\u80fd\u529b，\u6bd4Opus\u4fbf\u5b9c5\u500d\u3002DeepSeek V3.2\u4ee5$0.27\u8f93\u5165\u3001$0.41\u8f93\u51fa\u63d0\u4f9b\u63a5\u8fd1\u524d\u6cbf\u6c34\u5e73\u7684\u7f16\u7a0b\u548c\u63a8\u7406\u80fd\u529b，\u662f\u76ee\u524d\u6027\u4ef7\u6bd4\u6700\u6781\u7aef\u7684\u9009\u9879\u3002<\/p>\n

\n

\u56db\u3001\u5404\u6a21\u578b\u6838\u5fc3\u4eae\u70b9\u901f\u89c8<\/h3>\n

Claude Sonnet 4.6 \u2014 \u5e74\u5ea6\u6700\u5f3a"\u6027\u4ef7\u6bd4\u738b"<\/h4>\n

Claude Sonnet 4.6\u5728OSWorld-Verified\u4e0a\u5f97\u523072.5%，\u4e0eOpus 4.6\u768472.7%\u51e0\u4e4e\u6301\u5e73，\u4f46\u4ef7\u683c\u53ea\u6709\u540e\u8005\u7684\u4e94\u5206\u4e4b\u4e00\u3002\u572816\u4e2a\u6708\u5185，Claude\u7684\u8ba1\u7b97\u673a\u64cd\u4f5c\u80fd\u529b\u4ece14.9%\u4e00\u8def\u6500\u5347\u81f372.5%，\u8fd1\u4e4e\u7ffb\u4e865\u500d\u3002\u5f00\u53d1\u8005\u6d4b\u8bd5\u4e2d，Sonnet 4.6\u88ab59%\u7684\u7528\u6237\u8ba4\u4e3a\u4f18\u4e8e\u4e0a\u4e00\u4ee3\u65d7\u8230Opus 4.5\u2014\u2014\u8fd9\u610f\u5473\u7740\u4e2d\u7aef\u6a21\u578b\u5df2\u7ecf\u8d85\u8d8a\u4e86\u6570\u6708\u524d\u7684\u65d7\u8230\u3002<\/p>\n

Claude Opus 4.6 \u2014 \u65d7\u8230\u7684\u5b9e\u529b\u4f9d\u7136\u5728\u7ebf<\/h4>\n

Opus 4.6\u5728ARC-AGI-2\u4e0a\u5f97\u520668.8%，\u51e0\u4e4e\u662f\u4e0a\u4e00\u4ee3\u7684\u4e24\u500d（37.6%），\u5e76\u5f15\u5165\u4e86\u81ea\u9002\u5e94\u601d\u8003（Adaptive Thinking）\u548c1M token\u4e0a\u4e0b\u6587Beta\u652f\u6301\u3002\u5b83\u7684\u5b9a\u4f4d\u662f"\u4e0d\u8ba1\u6210\u672c\u65f6\u7684\u6700\u5f3a\u9009\u62e9"，\u5728\u6cd5\u5f8b\u6587\u4e66（BigLaw Bench 90.2%）\u3001\u590d\u6742\u7cfb\u7edf\u5de5\u7a0b\u7b49\u9ad8\u8981\u6c42\u573a\u666f\u4e2d\u4f9d\u7136\u65e0\u53ef\u66ff\u4ee3\u3002<\/p>\n

GPT-5.2 \u2014 Agent\u80fd\u529b\u610f\u5916\u62c9\u80ef<\/h4>\n

\u5728\u7f16\u7a0b\u548c\u6587\u6863\u7406\u89e3\u4e0a，GPT-5.2\u8868\u73b0\u5c1a\u53ef，\u4f46\u5728Agent\u8ba1\u7b97\u673a\u64cd\u4f5c（OSWorld）\u4e0a\u4ec5\u5f9738.2%，\u8fdc\u843d\u540e\u4e8eClaude\u768472.5%\u3002\u8fd9\u662f\u4e00\u4e2a\u4ee4\u4eba\u610f\u5916\u7684\u5dee\u8ddd，\u8bf4\u660eOpenAI\u5728agentic\u80fd\u529b\u4e0a\u4ecd\u6709\u660e\u663e\u77ed\u677f\u3002<\/p>\n

Qwen 3.5 \u2014 \u4e2d\u56fd\u5f00\u6e90\u7684\u6700\u5f3a\u540d\u7247<\/h4>\n

Qwen 3.5\u91c7\u7528397B\u53c2\u6570\u300117B\u6fc0\u6d3b\u7684MoE\u67b6\u6784，\u4e8e2026\u5e742\u670816\u65e5\u53d1\u5e03，\u5728Apache 2.0\u534f\u8bae\u4e0b\u5f00\u6e90，SWE-bench Verified\u8fbe76.4%，AIME 2026\u8fbe91.3%\u3002Alibaba\u58f0\u79f0\u5b83\u572880%\u7684\u8bc4\u6d4b\u57fa\u51c6\u4e0a\u8d85\u8d8a\u4e86GPT-5.2\u548cGemini 3 Pro\u3002\u5373\u4fbf\u5b58\u5728\u81ea\u8bc4\u504f\u5dee，\u80fd\u529b\u4e5f\u786e\u5b9e\u4eae\u773c，\u4e14\u5f00\u6e90\u53ef\u81ea\u90e8\u7f72\u662f\u6700\u5927\u6740\u624b\u950f\u3002<\/p>\n

GLM-5 \u2014 \u4eceTsinghua\u8d70\u51fa\u7684"\u5de5\u7a0b\u6d3e"<\/h4>\n

GLM-5\u7531\u667a\u8c31AI（Z.AI）\u4e8e2026\u5e742\u670811\u65e5\u53d1\u5e03，744B\u53c2\u6570（40B\u6fc0\u6d3b），\u5b8c\u5168\u5728\u534e\u4e3a\u6607\u817e\u82af\u7247\u4e0a\u8bad\u7ec3，\u652f\u6301200K\u4e0a\u4e0b\u6587，MIT\u534f\u8bae\u5f00\u6e90\u3002\u5b83\u662f\u5168\u7403\u9996\u6b3e\u5b8c\u5168\u8131\u79bb\u7f8e\u56fdGPU\u5b8c\u6210\u8bad\u7ec3\u7684\u524d\u6cbf\u5927\u6a21\u578b，\u5177\u6709\u91cd\u5927\u7684\u6218\u7565\u610f\u4e49\u3002\u5728Agent\u641c\u7d22（BrowseComp）\u4e0a，GLM-5\u8d85\u8fc7\u4e86\u6240\u6709\u88ab\u6d4b\u6a21\u578b，\u5305\u62ecOpenAI\u548cAnthropic\u7684\u4ea7\u54c1\u3002<\/p>\n

Kimi K2.5 \u2014 \u4e07\u4ebf\u53c2\u6570+\u767eAgent\u5e76\u884c<\/h4>\n

Kimi K2.5\u91c7\u75281\u4e07\u4ebf\u53c2\u6570MoE\u67b6\u6784，\u5f15\u5165Agent Swarm\u6280\u672f，\u53ef\u534f\u8c03\u6700\u591a100\u4e2aAI\u5b50Agent\u5e76\u884c\u5de5\u4f5c，\u957f\u4efb\u52a1\u6267\u884c\u901f\u5ea6\u63d0\u53474.5\u500d\u3002AIME 2026\u4e0a\u62ff\u523093.33%，\u662f\u5f00\u6e90\u6a21\u578b\u4e2d\u7684\u6570\u5b66\u738b\u8005\u3002<\/p>\n

DeepSeek V3.2 \u2014 \u6781\u81f4\u6027\u4ef7\u6bd4\u7684"\u4ef7\u683c\u5c60\u592b"<\/h4>\n

\u7ee72025\u5e74\u521d\u9707\u52a8\u7845\u8c37\u540e，DeepSeek\u5728\u6625\u8282\u671f\u95f4\u63a8\u51faV3.2\u3002\u5728AIME 2026\u4e0a，Kimi K2.5\u548cDeepSeek V3.2\u5206\u522b\u4ee593.33%\u548c91.67%\u6210\u4e3a\u5f00\u6e90\u6a21\u578b\u4e2d\u7684\u6700\u4f18\u8868\u73b0\u8005\u3002V3.2\u5ef6\u7eed\u4e86DeepSeek\u4e00\u8d2f\u7684\u6781\u4f4e\u5b9a\u4ef7\u8def\u7ebf，\u8f93\u5165$0.27\/\u767e\u4e07tokens，\u8ba9\u56fd\u5185\u5916\u7528\u6237\u90fd\u4e3a\u4e4b\u503e\u5012\u3002<\/p>\n

\u8c46\u5305 2.0 \u2014 \u5b57\u8282\u7684"\u6625\u665a\u6d41\u91cf"\u7b56\u7565<\/h4>\n

\u5b57\u8282\u8df3\u52a8\u4ee5Doubao 2.0（LLM）+ Seedream 5.0（\u56fe\u50cf）+ SeedDance 2.0（\u89c6\u9891）\u4e09\u4f4d\u4e00\u4f53\u53d1\u5e03，\u5e76\u72ec\u5bb6\u62ff\u4e0bCCTV\u6625\u665aAI\u4e91\u5408\u4f5c，\u786e\u4fdd\u4e86\u6781\u9ad8\u7684\u5927\u4f17\u66dd\u5149\u5ea6\u3002\u8c46\u5305\u4e3b\u6253\u591a\u6a21\u6001\u4e0e\u56fd\u5185\u751f\u6001\u96c6\u6210，\u662f\u9762\u5411C\u7aef\u7528\u6237\u7684\u91cd\u78c5\u4ea7\u54c1\u3002<\/p>\n

\u6587\u5fc35（ERNIE-X1）\u2014 \u767e\u5ea6\u7684"\u5168\u5bb6\u6876"\u5e03\u5c40<\/h4>\n

\u6587\u5fc35（ERNIE-X1）\u4f5c\u4e3a\u767e\u5ea6\u7684\u65d7\u8230\u8bed\u8a00\u6a21\u578b，\u66f4\u4fa7\u91cd\u56fd\u5185\u653f\u52a1\u3001\u6559\u80b2\u3001\u533b\u7597\u7b49\u5782\u76f4\u751f\u6001\u7684\u6df1\u5ea6\u96c6\u6210，\u5728\u901a\u7528\u80fd\u529b\u8bc4\u6d4b\u4e2d\u6570\u636e\u8f83\u5c11\u516c\u5f00，\u66f4\u591a\u4ef7\u503c\u4f53\u73b0\u5728\u767e\u5ea6\u641c\u7d22\u3001\u6587\u5fc3\u4e00\u8a00App\u7684\u7528\u6237\u4f53\u9a8c\u95ed\u73af\u4e0a\u3002<\/p>\n

\n

\u4e94\u3001\u4e00\u53e5\u8bdd\u603b\u7ed3：\u9009\u54ea\u4e2a？<\/h3>\n\n\u4f7f\u7528\u573a\u666f\u63a8\u8350\u6a21\u578b<\/tr>\n\n\n\n\n\n\n\n\n\n
\u4f01\u4e1a\u7ea7Agent\/\u81ea\u52a8\u5316（\u4e0d\u8ba1\u6210\u672c）<\/td>\nClaude Opus 4.6<\/td>\n<\/tr>\n
\u4f01\u4e1a\u7ea7Agent\/\u81ea\u52a8\u5316（\u6027\u4ef7\u6bd4\u4f18\u5148）<\/td>\nClaude Sonnet 4.6<\/td>\n<\/tr>\n
\u6570\u5b66\u7ade\u8d5b\/\u6781\u9650\u63a8\u7406<\/td>\nKimi K2.5 \/ DeepSeek V3.2<\/td>\n<\/tr>\n
\u5f00\u6e90\u81ea\u90e8\u7f72（\u4e2d\u6587\u751f\u6001）<\/td>\nQwen 3.5 \/ GLM-5<\/td>\n<\/tr>\n
\u6700\u4f4e\u6210\u672cAPI\u8c03\u7528<\/td>\nDeepSeek V3.2<\/td>\n<\/tr>\n
\u56fd\u5185\u653f\u52a1\/\u6559\u80b2\/\u641c\u7d22\u96c6\u6210<\/td>\n\u6587\u5fc35<\/td>\n<\/tr>\n
C\u7aef\u591a\u6a21\u6001\u4ea7\u54c1<\/td>\n\u8c46\u5305 2.0<\/td>\n<\/tr>\n
\u5927\u89c4\u6a21\u4ee3\u7801\u4ed3\u5e93\u7ef4\u62a4<\/td>\nClaude Sonnet 4.6 \/ GLM-5<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
\n

\u7ed3\u8bed<\/h3>\n

2026\u5e74\u7684AI\u7ade\u4e89\u5df2\u7ecf\u4e0d\u662f\u5355\u70b9\u7684\u80fd\u529b\u6bd4\u62fc，\u800c\u662f\u80fd\u529b\u3001\u6210\u672c\u3001\u751f\u6001\u4e0e\u5408\u89c4\u56db\u4e2a\u7ef4\u5ea6\u7684\u7efc\u5408\u535a\u5f08\u3002<\/p>\n

Claude Sonnet 4.6\u7684\u51fa\u73b0，\u8ba9"\u65d7\u8230\u7ea7\u80fd\u529b"\u7b2c\u4e00\u6b21\u4ee5\u4e2d\u7aef\u4ef7\u683c\u5927\u89c4\u6a21\u666e\u53ca；\u56fd\u4ea7\u6a21\u578b\u9635\u8425\u7528Kimi\u3001Qwen\u3001GLM\u3001DeepSeek\u7684\u96c6\u4f53\u51b2\u523a\u8bc1\u660e，\u4e2d\u56fdAI\u5df2\u7ecf\u4ece"\u8ffd\u8d76\u8005"\u5347\u7ea7\u4e3a"\u540c\u53f0\u7ade\u6280\u8005"\u3002<\/p>\n

\u6700\u503c\u5f97\u8b66\u60d5\u7684\u4fe1\u53f7\u662f：GPT-5.2\u5728Agent\u7ef4\u5ea6\u4e0a\u610f\u5916\u843d\u540e\u3002\u8fd9\u8bf4\u660e\u5373\u4f7f\u662fOpenAI，\u4e5f\u5e76\u975e\u5728\u6bcf\u4e2a\u8d5b\u9053\u90fd\u5360\u636e\u4f18\u52bf\u3002\u672a\u6765AI\u7684\u6218\u573a，\u5c06\u8d8a\u6765\u8d8a\u805a\u7126\u5728"\u80fd\u505a\u771f\u5b9e\u4efb\u52a1"\u800c\u975e"\u80fd\u7b54\u96be\u9898"\u4e0a\u3002<\/p>\n

\u800c\u8fd9，\u6b63\u662f\u6240\u6709\u73a9\u5bb6\u6b63\u5728\u5168\u529b\u62bc\u6ce8\u7684\u65b9\u5411\u3002<\/p>\n

\n

\u6570\u636e\u6765\u6e90：Anthropic\u5b98\u7f51\u3001VentureBeat\u3001DigitalApplied\u3001Latent Space AINews\u3001Namiru.ai\u3001WhatLLM.org，2026\u5e742\u6708\u3002\u90e8\u5206\u4f30\u7b97\u6570\u636e\u57fa\u4e8e\u516c\u5f00\u62a5\u9053\u63a8\u7b97，\u4ec5\u4f9b\u53c2\u8003\u3002<\/p>\n

\u00a0<\/p>\n","protected":false},"excerpt":{"rendered":"

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