{"id":65190,"date":"2026-05-24T08:00:00","date_gmt":"2026-05-24T01:00:00","guid":{"rendered":"https:\/\/jaybranding.com\/qwen3-7-max-alibaba-ra-mat-ai-agent-tu-van-hanh-35-gio-danh-bai-claude-va-deepseek\/"},"modified":"2026-05-24T08:00:00","modified_gmt":"2026-05-24T01:00:00","slug":"qwen3-7-max-alibaba-ra-mat-ai-agent-tu-van-hanh-35-gio-danh-bai-claude-va-deepseek","status":"publish","type":"post","link":"https:\/\/jaybranding.com\/en\/qwen3-7-max-alibaba-ra-mat-ai-agent-tu-van-hanh-35-gio-danh-bai-claude-va-deepseek\/","title":{"rendered":"QWEN3.7-MAX: ALIBABA RA M\u1eaeT AI AGENT T\u1ef0 V\u1eacN H\u00c0NH 35 GI\u1edc, \u0110\u00c1NH B\u1ea0I CLAUDE V\u00c0 DEEPSEEK"},"content":{"rendered":"

Cu\u1ed9c \u0111ua AI agent v\u1eeba c\u00f3 m\u1ed9t c\u1ed9t m\u1ed1c m\u1edbi. Alibaba<\/strong> th\u00f4ng qua \u0111\u1ed9i ng\u0169 Qwen Team \u0111\u00e3 ch\u00ednh th\u1ee9c ra m\u1eaft Qwen3.7-Max<\/strong> \u2014 model AI agent c\u00f3 kh\u1ea3 n\u0103ng t\u1ef1 v\u1eadn h\u00e0nh li\u00ean t\u1ee5c trong 35 gi\u1edd m\u00e0 kh\u00f4ng c\u1ea7n s\u1ef1 can thi\u1ec7p c\u1ee7a con ng\u01b0\u1eddi. \u0110\u00e2y l\u00e0 b\u01b0\u1edbc nh\u1ea3y v\u1ecdt so v\u1edbi c\u00e1c model tr\u01b0\u1edbc \u0111\u00e2y v\u1ed1n ch\u1ec9 ho\u1ea1t \u0111\u1ed9ng hi\u1ec7u qu\u1ea3 trong v\u00e0i ph\u00fat \u0111\u1ebfn v\u00e0i gi\u1edd tr\u01b0\u1edbc khi b\u1eaft \u0111\u1ea7u m\u1eafc l\u1ed7i.<\/p>\n\n\n\n

\u0110i\u1ec1u \u0111\u1eb7c bi\u1ec7t: Qwen3.7-Max kh\u00f4ng ch\u1ec9 m\u1ea1nh v\u1ec1 benchmark. Trong m\u1ed9t b\u00e0i ki\u1ec3m tra th\u1ef1c t\u1ebf, model \u0111\u01b0\u1ee3c giao nhi\u1ec7m v\u1ee5 t\u1ed1i \u01b0u kernel tr\u00ean m\u1ed9t con chip T-Head ZW-M890 PPU \u2014 ph\u1ea7n c\u1ee9ng m\u00e0 n\u00f3 ch\u01b0a t\u1eebng g\u1eb7p trong qu\u00e1 tr\u00ecnh hu\u1ea5n luy\u1ec7n<\/strong>. K\u1ebft qu\u1ea3: 1.158 l\u1ea7n g\u1ecdi c\u00f4ng c\u1ee5, 432 l\u1ea7n \u0111\u00e1nh gi\u00e1 kernel, v\u00e0 \u0111\u1ea1t m\u1ee9c t\u0103ng t\u1ed1c g\u1ea5p 10 l\u1ea7n<\/strong> so v\u1edbi code g\u1ed1c.<\/p>\n\n\n\n

\"B\u1ea3ng
B\u1ea3ng so s\u00e1nh benchmark Qwen3.7-Max v\u1edbi Claude Opus-4.6 Max v\u00e0 DeepSeek V4-Pro Max. Ngu\u1ed3n: Alibaba Qwen<\/figcaption><\/figure>\n\n\n\n

35 GI\u1edc T\u1ef0 \u0110\u1ed8NG \u2014 K\u1ef6 L\u1ee4C M\u1edaI C\u1ee6A AI AGENT<\/h2>\n\n\n\n

Kh\u00e1c v\u1edbi c\u00e1c chatbot th\u00f4ng th\u01b0\u1eddng ch\u1ec9 tr\u1ea3 l\u1eddi t\u1eebng c\u00e2u h\u1ecfi \u0111\u01a1n l\u1ebb, Qwen3.7-Max \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf nh\u01b0 m\u1ed9t “agent foundation” \u0111a n\u0103ng<\/strong> \u2014 c\u00f3 th\u1ec3 l\u1eadp k\u1ebf ho\u1ea1ch, th\u1ef1c thi, t\u1ef1 s\u1eeda l\u1ed7i v\u00e0 \u0111i\u1ec1u ch\u1ec9nh h\u01b0\u1edbng \u0111i trong su\u1ed1t nhi\u1ec1u gi\u1edd. Alibaba g\u1ecdi kh\u1ea3 n\u0103ng n\u00e0y l\u00e0 “long-horizon reasoning” \u2014 suy lu\u1eadn trong kho\u1ea3ng th\u1eddi gian d\u00e0i.<\/p>\n\n\n\n

\u0110\u1ec3 \u0111\u1ea1t \u0111\u01b0\u1ee3c \u0111i\u1ec1u n\u00e0y, Qwen3.7-Max \u0111\u01b0\u1ee3c hu\u1ea5n luy\u1ec7n qua k\u1ef9 thu\u1eadt “environment scaling”<\/strong>: model \u0111\u01b0\u1ee3c ti\u1ebfp x\u00fac v\u1edbi h\u00e0ng lo\u1ea1t m\u00f4i tr\u01b0\u1eddng agent \u0111a d\u1ea1ng trong qu\u00e1 tr\u00ecnh training, gi\u00fap n\u00f3 kh\u00f4ng b\u1ecb “m\u1eafc k\u1eb9t” khi g\u1eb7p t\u00ecnh hu\u1ed1ng m\u1edbi. Nh\u1edd \u0111\u00f3, model c\u00f3 th\u1ec3 duy tr\u00ec m\u1ed9t chu\u1ed7i suy lu\u1eadn xuy\u00ean su\u1ed1t h\u00e0ng ng\u00e0n l\u01b0\u1ee3t h\u1ed9i tho\u1ea1i m\u00e0 kh\u00f4ng b\u1ecb qu\u00ean ch\u1ec9 d\u1eabn hay \u1ea3o gi\u00e1c bi\u1ebfn s\u1ed1.<\/p>\n\n\n\n

Tr\u00ean benchmark YC-Bench<\/strong> \u2014 m\u00f4 ph\u1ecfng v\u00f2ng \u0111\u1eddi m\u1ed9t startup trong 1 n\u0103m v\u1edbi h\u00e0ng tr\u0103m quy\u1ebft \u0111\u1ecbnh v\u1ec1 nh\u00e2n s\u1ef1 v\u00e0 h\u1ee3p \u0111\u1ed3ng \u2014 Qwen3.7-Max t\u1ea1o ra $2.08 tri\u1ec7u doanh thu \u1ea3o<\/strong>, g\u1ea7n g\u1ea5p \u0111\u00f4i th\u1ebf h\u1ec7 tr\u01b0\u1edbc Qwen3.6-Plus. Model c\u0169ng c\u00f3 c\u01a1 ch\u1ebf t\u1ef1 ph\u00e1t hi\u1ec7n “reward hacking” v\u00e0 t\u1ef1 th\u00eam quy t\u1eafc heuristic \u0111\u1ec3 s\u1eeda h\u00e0nh vi \u2014 m\u1ed9t b\u01b0\u1edbc ti\u1ebfn quan tr\u1ecdng v\u1ec1 \u0111\u1ed9 tin c\u1eady c\u1ee7a AI agent.<\/p>\n\n\n\n

\u0110\u00c1NH B\u1ea0I CLAUDE OPUS V\u00c0 DEEPSEEK TR\u00caN LO\u1ea0T BENCHMARK<\/h2>\n\n\n\n

V\u1ec1 m\u1eb7t \u0111i\u1ec3m s\u1ed1, Qwen3.7-Max th\u1ec3 hi\u1ec7n s\u1ee9c m\u1ea1nh v\u01b0\u1ee3t tr\u1ed9i. Tr\u00ean b\u00e0i ki\u1ec3m tra Apex Math Reasoning<\/strong>, model \u0111\u1ea1t 44.5 \u0111i\u1ec3m \u2014 cao h\u01a1n \u0111\u00e1ng k\u1ec3 so v\u1edbi Claude Opus-4.6 Max (34.5) v\u00e0 DeepSeek V4-Pro Max (38.3). Tr\u00ean Humanity’s Last Exam<\/strong> \u2014 b\u00e0i ki\u1ec3m tra \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf \u0111\u1ec3 \u0111o l\u01b0\u1eddng kh\u1ea3 n\u0103ng suy lu\u1eadn \u1edf c\u1ea5p \u0111\u1ed9 chuy\u00ean gia \u2014 Qwen3.7-Max \u0111\u1ea1t 41.4 \u0111i\u1ec3m.<\/p>\n\n\n\n

Tr\u00ean benchmark MCP-Atlas<\/strong> d\u00e0nh ri\u00eang cho coding agent, model \u0111\u1ea1t 76.4 \u0111i\u1ec3m. Model c\u0169ng s\u1edf h\u1eefu c\u1eeda s\u1ed5 ng\u1eef c\u1ea3nh 1 tri\u1ec7u token<\/strong> v\u00e0 kh\u1ea3 n\u0103ng output l\u00ean \u0111\u1ebfn 64K token<\/strong> \u2014 \u0111\u1ee7 s\u1ee9c x\u1eed l\u00fd to\u00e0n b\u1ed9 codebase c\u1ee7a m\u1ed9t d\u1ef1 \u00e1n ph\u1ea7n m\u1ec1m l\u1edbn trong m\u1ed9t l\u1ea7n ch\u1ea1y.<\/p>\n\n\n\n

H\u1ed6 TR\u1ee2 GIAO TH\u1ee8C ANTHROPIC API \u2014 T\u01af\u01a0NG TH\u00cdCH CLAUDE CODE<\/h2>\n\n\n\n

M\u1ed9t \u0111i\u1ec3m \u0111\u00e1ng ch\u00fa \u00fd kh\u00e1c: Qwen3.7-Max \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf v\u1edbi kh\u1ea3 n\u0103ng “cross-harness generalization”<\/strong> \u2014 t\u01b0\u01a1ng th\u00edch v\u1edbi nhi\u1ec1u framework agent kh\u00e1c nhau. Model h\u1ed7 tr\u1ee3 giao th\u1ee9c Anthropic API, cho ph\u00e9p developer “c\u1eafm” tr\u1ef1c ti\u1ebfp v\u00e0o c\u00e1c c\u00f4ng c\u1ee5 nh\u01b0 Claude Code<\/strong> nice OpenClaw<\/strong> m\u00e0 kh\u00f4ng c\u1ea7n vi\u1ebft l\u1ea1i code.<\/p>\n\n\n\n

\u0110i\u1ec1u n\u00e0y \u0111\u1ed3ng ngh\u0129a: n\u1ebfu doanh nghi\u1ec7p \u0111\u00e3 \u0111\u1ea7u t\u01b0 x\u00e2y d\u1ef1ng workflow quanh Claude Code, h\u1ecd c\u00f3 th\u1ec3 chuy\u1ec3n sang d\u00f9ng Qwen3.7-Max nh\u01b0 m\u1ed9t “b\u1ed9 n\u00e3o” thay th\u1ebf, t\u1eadn d\u1ee5ng s\u1ee9c m\u1ea1nh t\u1ef1 \u0111\u1ed9ng h\u00f3a d\u00e0i h\u1ea1n c\u1ee7a model Trung Qu\u1ed1c m\u00e0 kh\u00f4ng ph\u1ea3i thay \u0111\u1ed5i h\u1ea1 t\u1ea7ng.<\/p>\n\n\n\n

PROPRIETARY THAY V\u00cc OPEN SOURCE \u2014 B\u01af\u1edaC NGO\u1eb6T C\u1ee6A QWEN<\/h2>\n\n\n\n

V\u1edbi Qwen3.7-Max, Alibaba l\u1ea7n \u0111\u1ea7u ti\u00ean \u0111\u00f3ng m\u00e3 ngu\u1ed3n<\/strong> m\u1ed9t model trong d\u00f2ng Qwen \u2014 kh\u00e1c v\u1edbi c\u00e1c phi\u00ean b\u1ea3n tr\u01b0\u1edbc \u0111\u00e2y v\u1ed1n \u0111\u01b0\u1ee3c ph\u00e1t h\u00e0nh open source. \u0110\u00e2y l\u00e0 \u0111\u1ed9ng th\u00e1i g\u00e2y tranh c\u00e3i nh\u01b0ng h\u1ee3p l\u00fd v\u1ec1 m\u1eb7t kinh doanh: c\u00e1c model AI m\u1ea1nh nh\u1ea5t \u0111\u00f2i h\u1ecfi chi ph\u00ed hu\u1ea5n luy\u1ec7n kh\u1ed5ng l\u1ed3, v\u00e0 vi\u1ec7c ph\u00e1t h\u00e0nh mi\u1ec5n ph\u00ed kh\u00f4ng gi\u00fap thu h\u1ed3i v\u1ed1n.<\/p>\n\n\n\n

Alibaba hi\u1ec7n ch\u1ec9 cung c\u1ea5p Qwen3.7-Max qua API tr\u1ea3 ph\u00ed v\u00e0 c\u00e1c g\u00f3i subscription \u2014 t\u01b0\u01a1ng t\u1ef1 c\u00e1ch OpenAI v\u00e0 Google v\u1eadn h\u00e0nh c\u00e1c model m\u1ea1nh nh\u1ea5t c\u1ee7a h\u1ecd. C\u00e1c model y\u1ebfu h\u01a1n v\u1eabn \u0111\u01b0\u1ee3c ph\u00e1t h\u00e0nh open source. Tuy nhi\u00ean, vi\u1ec7c API endpoint \u0111\u1eb7t t\u1ea1i Trung Qu\u1ed1c c\u00f3 th\u1ec3 l\u00e0 r\u00e0o c\u1ea3n v\u1edbi c\u00e1c doanh nghi\u1ec7p M\u1ef9 v\u00e0 ch\u00e2u \u00c2u quan t\u00e2m \u0111\u1ebfn compliance v\u00e0 ch\u1ee7 quy\u1ec1n d\u1eef li\u1ec7u.<\/p>\n\n\n\n

D\u00f9 v\u1eady, v\u1edbi kh\u1ea3 n\u0103ng t\u1ef1 v\u1eadn h\u00e0nh 35 gi\u1edd, \u0111i\u1ec3m benchmark v\u01b0\u1ee3t tr\u1ed9i v\u00e0 kh\u1ea3 n\u0103ng t\u01b0\u01a1ng th\u00edch \u0111a n\u1ec1n t\u1ea3ng, Qwen3.7-Max \u0111\u00e1nh d\u1ea5u m\u1ed9t c\u1ed9t m\u1ed1c quan tr\u1ecdng: k\u1ef7 nguy\u00ean AI agent kh\u00f4ng c\u00f2n l\u00e0 \u00fd t\u01b0\u1edfng \u2014 n\u00f3 \u0111\u00e3 b\u1eaft \u0111\u1ea7u v\u1eadn h\u00e0nh th\u1ef1c t\u1ebf.<\/p>\n\n\n\n

Source:<\/strong> VentureBeat \u2014 “Alibaba’s proprietary Qwen3.7-Max can run for 35 hours autonomously”<\/a><\/p>","protected":false},"excerpt":{"rendered":"

Cu\u1ed9c \u0111ua AI agent v\u1eeba c\u00f3 m\u1ed9t c\u1ed9t m\u1ed1c m\u1edbi. Alibaba th\u00f4ng qua \u0111\u1ed9i ng\u0169 Qwen Team \u0111\u00e3 ch\u00ednh th\u1ee9c ra m\u1eaft Qwen3.7-Max \u2014 model AI agent c\u00f3 kh\u1ea3 n\u0103ng t\u1ef1 v\u1eadn h\u00e0nh li\u00ean t\u1ee5c trong 35 gi\u1edd m\u00e0 kh\u00f4ng c\u1ea7n s\u1ef1 can thi\u1ec7p c\u1ee7a con ng\u01b0\u1eddi. \u0110\u00e2y l\u00e0 b\u01b0\u1edbc nh\u1ea3y v\u1ecdt so v\u1edbi c\u00e1c […]<\/p>","protected":false},"author":0,"featured_media":65188,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1190],"tags":[1194,1197,1200,1198,1199,1196],"class_list":["post-65190","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-news","tag-ai-agent","tag-alibaba","tag-anthropic","tag-claude-code","tag-deepseek","tag-qwen"],"_links":{"self":[{"href":"https:\/\/jaybranding.com\/en\/wp-json\/wp\/v2\/posts\/65190","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/jaybranding.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/jaybranding.com\/en\/wp-json\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/jaybranding.com\/en\/wp-json\/wp\/v2\/comments?post=65190"}],"version-history":[{"count":0,"href":"https:\/\/jaybranding.com\/en\/wp-json\/wp\/v2\/posts\/65190\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/jaybranding.com\/en\/wp-json\/wp\/v2\/media\/65188"}],"wp:attachment":[{"href":"https:\/\/jaybranding.com\/en\/wp-json\/wp\/v2\/media?parent=65190"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/jaybranding.com\/en\/wp-json\/wp\/v2\/categories?post=65190"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/jaybranding.com\/en\/wp-json\/wp\/v2\/tags?post=65190"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}