{"id":2029,"date":"2026-07-03T00:06:48","date_gmt":"2026-07-02T17:06:48","guid":{"rendered":"https:\/\/blog.datacore.vn\/?p=2029"},"modified":"2026-07-12T14:19:52","modified_gmt":"2026-07-12T07:19:52","slug":"bang-xep-hang-ai-thang-7-2026","status":"publish","type":"post","link":"https:\/\/blog.datacore.vn\/vi\/bang-xep-hang-ai-thang-7-2026\/","title":{"rendered":"Th\u00e1ng 7\/2026: Claude Fable 5 d\u1eabn \u0111\u1ea7u b\u1ea3ng x\u1ebfp h\u1ea1ng AI - Anthropic th\u1ed1ng tr\u1ecb top 5 to\u00e0n c\u1ea7u"},"content":{"rendered":"

Claude Fable 5 c\u1ee7a Anthropic ch\u00ednh th\u1ee9c d\u1eabn \u0111\u1ea7u b\u1ea3ng x\u1ebfp h\u1ea1ng AI Rank th\u00e1ng n\u00e0y v\u1edbi t\u1ed5ng \u0111i\u1ec3m 65.8 (tr\u00ed tu\u1ec7: 59.9, l\u1eadp tr\u00ecnh: 76.5) - m\u00f4 h\u00ecnh k\u1ebft h\u1ee3p l\u00fd lu\u1eadn th\u00edch \u1ee9ng v\u1edbi c\u01a1 ch\u1ebf d\u1ef1 ph\u00f2ng Opus 4.8. C\u00e0ng \u1ea5n t\u01b0\u1ee3ng h\u01a1n, Anthropic chi\u1ebfm tr\u1ecdn 5 v\u1ecb tr\u00ed \u0111\u1ea7u ti\u00ean trong top 10: Claude Fable 5, Claude Opus 4.8 (62.3), Claude Opus 4.7 (60.6) v\u00e0 Claude Sonnet 5 (59.8) x\u1ebfp l\u1ea7n l\u01b0\u1ee3t t\u1eeb v\u1ecb tr\u00ed 1 \u0111\u1ebfn 5. \u0110\u00e2y l\u00e0 l\u1ea7n \u0111\u1ea7u ti\u00ean m\u1ed9t h\u00e3ng c\u00f4ng ngh\u1ec7 \u0111\u01a1n \u0111\u1ed9c c\u00f3 5 m\u00f4 h\u00ecnh li\u00ean ti\u1ebfp \u1edf \u0111\u1ea7u b\u1ea3ng trong l\u1ecbch s\u1eed AI Rank.<\/p>\n\n\n\n

\"B\u1ea3ng
Claude Fable 5 d\u1eabn \u0111\u1ea7u b\u1ea3ng x\u1ebfp h\u1ea1ng AI th\u00e1ng 7\/2026<\/figcaption><\/figure>\n\n\n\n

To\u00e0n c\u1ea3nh top 10 b\u1ea3ng x\u1ebfp h\u1ea1ng AI th\u00e1ng 7\/2026<\/h2>\n\n\n\n

V\u1ec1 c\u00e1c \u0111\u1ed1i th\u1ee7 c\u1ea1nh tranh, GPT-5.5 (xhigh) c\u1ee7a OpenAI gi\u1eef v\u1ecb tr\u00ed th\u1ee9 3 v\u1edbi 61.9 \u0111i\u1ec3m - chen v\u00e0o gi\u1eefa hai m\u00f4 h\u00ecnh Claude. \u0110\u00e1ng ch\u00fa \u00fd h\u01a1n l\u00e0 s\u1ef1 xu\u1ea5t hi\u1ec7n c\u1ee7a GLM-5.2 (max) c\u1ee7a Zhipu AI \u1edf v\u1ecb tr\u00ed th\u1ee9 8 v\u1edbi 57.3 \u0111i\u1ec3m - m\u00f4 h\u00ecnh open-weights duy nh\u1ea5t l\u1ecdt v\u00e0o top 10, v\u1edbi gi\u00e1 ch\u1ec9 $2.15\/tri\u1ec7u token. Gemini 3.1 Pro Preview c\u1ee7a Google x\u1ebfp th\u1ee9 9. V\u1ec1 c\u00e1c h\u1ea1ng m\u1ee5c chuy\u00ean bi\u1ec7t: Mercury 2 l\u00e0 m\u00f4 h\u00ecnh nhanh nh\u1ea5t (1019 token\/gi\u00e2y), GPT-5 Chat d\u1eabn \u0111\u1ea7u Aider Polyglot v\u1edbi 88.0%, v\u00e0 Claude Opus 4.6 gi\u1eef k\u1ef7 l\u1ee5c time horizon d\u00e0i nh\u1ea5t - 14 gi\u1edd theo \u0111o l\u01b0\u1eddng c\u1ee7a METR.<\/p>\n\n\n\n

Open-weights chi\u1ebfm 41.6% b\u1ea3ng x\u1ebfp h\u1ea1ng AI<\/h2>\n\n\n\n

V\u1ec1 b\u1ee9c tranh open-weights v\u00e0 gi\u00e1 tr\u1ecb: trong t\u1ed5ng s\u1ed1 534 m\u00f4 h\u00ecnh t\u1eeb 58 nh\u00e0 cung c\u1ea5p, c\u00f3 t\u1edbi 222 m\u00f4 h\u00ecnh open-weights (~41.6%) - con s\u1ed1 cho th\u1ea5y h\u1ec7 sinh th\u00e1i m\u00e3 ngu\u1ed3n m\u1edf v\u1eabn r\u1ea5t kh\u1ecfe m\u1ea1nh. HyperNova 60B 2605 gi\u1eef v\u1ecb tr\u00ed \"best value\" (ch\u1ec9 s\u1ed1 tr\u00ed tu\u1ec7 tr\u00ean m\u1ed7i \u0111\u00f4 la cao nh\u1ea5t), c\u00f2n Llama 4 Scout c\u1ee7a Meta \u0111\u1ea1t k\u1ef7 l\u1ee5c context window l\u1edbn nh\u1ea5t v\u1edbi 10 tri\u1ec7u token. Gi\u00e1 c\u1ea3 ti\u1ebfp t\u1ee5c c\u00f3 xu h\u01b0\u1edbng gi\u1ea3m - nhi\u1ec1u m\u00f4 h\u00ecnh frontier hi\u1ec7n c\u00f3 gi\u00e1 d\u01b0\u1edbi $5\/tri\u1ec7u token output.<\/p>\n\n\n\n

B\u1ea3ng x\u1ebfp h\u1ea1ng AI n\u00f3i g\u00ec v\u1edbi doanh nghi\u1ec7p Vi\u1ec7t Nam?<\/h2>\n\n\n\n

V\u1edbi c\u00e1c doanh nghi\u1ec7p Vi\u1ec7t Nam \u0111ang x\u00e2y d\u1ef1ng s\u1ea3n ph\u1ea9m tr\u00ean n\u1ec1n t\u1ea3ng AI, b\u1ea3ng x\u1ebfp h\u1ea1ng AI th\u00e1ng n\u00e0y mang l\u1ea1i ba g\u1ee3i \u00fd quan tr\u1ecdng. Th\u1ee9 nh\u1ea5t, kho\u1ea3ng c\u00e1ch gi\u1eefa c\u00e1c m\u00f4 h\u00ecnh frontier \u0111ang thu h\u1eb9p r\u00f5 r\u1ec7t: ch\u00eanh l\u1ec7ch t\u1ed5ng \u0111i\u1ec3m gi\u1eefa v\u1ecb tr\u00ed s\u1ed1 1 v\u00e0 s\u1ed1 5 ch\u1ec9 kho\u1ea3ng 6 \u0111i\u1ec3m. \u0110i\u1ec1u n\u00e0y c\u00f3 ngh\u0129a l\u00e0 vi\u1ec7c l\u1ef1a ch\u1ecdn m\u00f4 h\u00ecnh n\u00ean d\u1ef1a tr\u00ean b\u00e0i to\u00e1n c\u1ee5 th\u1ec3 nh\u01b0 l\u1eadp tr\u00ecnh, l\u00fd lu\u1eadn, t\u1ed1c \u0111\u1ed9 hay chi ph\u00ed, thay v\u00ec ch\u1ec9 nh\u00ecn v\u00e0o th\u1ee9 h\u1ea1ng t\u1ed5ng.<\/p>\n\n\n\n

Th\u1ee9 hai, chi ph\u00ed ti\u1ebfp t\u1ee5c gi\u1ea3m nhanh. Khi nhi\u1ec1u m\u00f4 h\u00ecnh frontier c\u00f3 gi\u00e1 d\u01b0\u1edbi 5 USD m\u1ed7i tri\u1ec7u token output v\u00e0 l\u1ef1a ch\u1ecdn open-weights nh\u01b0 GLM-5.2 ch\u1ec9 \u1edf m\u1ee9c 2.15 USD, b\u00e0i to\u00e1n t\u1ef1 v\u1eadn h\u00e0nh m\u00f4 h\u00ecnh so v\u1edbi d\u00f9ng API c\u1ea7n \u0111\u01b0\u1ee3c t\u00ednh l\u1ea1i th\u01b0\u1eddng xuy\u00ean. Ch\u1ee7 \u0111\u1ec1 h\u1ea1 t\u1ea7ng t\u00ednh to\u00e1n c\u0169ng \u0111\u01b0\u1ee3c ch\u00fang t\u00f4i ph\u00e2n t\u00edch trong b\u00e0i vi\u1ebft v\u1ec1 si\u00eau m\u00e1y t\u00ednh CPU LineShine \u0111\u1ee9ng \u0111\u1ea7u TOP500 2026<\/a>.<\/p>\n\n\n\n

Th\u1ee9 ba, t\u1ed1c \u0111\u1ed9 v\u00e0 context window \u0111ang tr\u1edf th\u00e0nh l\u1ee3i th\u1ebf c\u1ea1nh tranh ri\u00eang: Mercury 2 \u0111\u1ea1t 1019 token\/gi\u00e2y, c\u00f2n Llama 4 Scout h\u1ed7 tr\u1ee3 context t\u1edbi 10 tri\u1ec7u token. V\u1edbi c\u00e1c \u1ee9ng d\u1ee5ng x\u1eed l\u00fd t\u00e0i li\u1ec7u ti\u1ebfng Vi\u1ec7t kh\u1ed1i l\u01b0\u1ee3ng l\u1edbn, nh\u1eefng ch\u1ec9 s\u1ed1 n\u00e0y \u0111\u00f4i khi quan tr\u1ecdng h\u01a1n \u0111i\u1ec3m tr\u00ed tu\u1ec7 t\u1ed5ng.<\/p>\n\n\n\n

\"H\u1ea1
Chi ph\u00ed m\u00f4 h\u00ecnh gi\u1ea3m nhanh m\u1edf ra nhi\u1ec1u l\u1ef1a ch\u1ecdn cho doanh nghi\u1ec7p<\/figcaption><\/figure>\n\n\n\n

C\u00e2u h\u1ecfi th\u01b0\u1eddng g\u1eb7p v\u1ec1 b\u1ea3ng x\u1ebfp h\u1ea1ng AI<\/h2>\n\n\n\n

B\u1ea3ng x\u1ebfp h\u1ea1ng AI Rank \u0111o l\u01b0\u1eddng \u0111i\u1ec1u g\u00ec?<\/strong> AI Rank t\u1ed5ng h\u1ee3p \u0111i\u1ec3m tr\u00ed tu\u1ec7 v\u00e0 \u0111i\u1ec3m l\u1eadp tr\u00ecnh th\u00e0nh t\u1ed5ng \u0111i\u1ec3m cho 534 m\u00f4 h\u00ecnh t\u1eeb 58 nh\u00e0 cung c\u1ea5p, \u0111\u1ed3ng th\u1eddi theo d\u00f5i t\u1ed1c \u0111\u1ed9, gi\u00e1 m\u1ed7i tri\u1ec7u token v\u00e0 \u0111\u1ed9 d\u00e0i context window c\u1ee7a t\u1eebng m\u00f4 h\u00ecnh.<\/p>\n\n\n\n

Xem b\u1ea3ng x\u1ebfp h\u1ea1ng AI \u0111\u1ea7y \u0111\u1ee7 \u1edf \u0111\u00e2u?<\/strong> To\u00e0n b\u1ed9 b\u1ea3ng x\u1ebfp h\u1ea1ng, c\u00f4ng c\u1ee5 so s\u00e1nh chi ti\u1ebft t\u1eebng m\u00f4 h\u00ecnh v\u00e0 bi\u1ebfn \u0111\u1ed9ng gi\u00e1 theo th\u1eddi gian th\u1ef1c \u0111\u01b0\u1ee3c c\u1eadp nh\u1eadt t\u1ea1i airank.datacore.vn.<\/p>\n\n\n\n

B\u1ea3ng x\u1ebfp h\u1ea1ng AI c\u00f3 ph\u1ea3n \u00e1nh \u0111\u00fang hi\u1ec7u qu\u1ea3 th\u1ef1c t\u1ebf v\u1edbi ti\u1ebfng Vi\u1ec7t kh\u00f4ng?<\/strong> Ch\u1ec9 m\u1ed9t ph\u1ea7n. C\u00e1c b\u00e0i ki\u1ec3m tra chu\u1ea9n h\u00f3a ch\u1ee7 y\u1ebfu \u0111\u01b0\u1ee3c x\u00e2y d\u1ef1ng tr\u00ean d\u1eef li\u1ec7u ti\u1ebfng Anh, trong khi ch\u1ea5t l\u01b0\u1ee3ng x\u1eed l\u00fd ti\u1ebfng Vi\u1ec7t c\u1ee7a t\u1eebng m\u00f4 h\u00ecnh c\u00f3 th\u1ec3 ch\u00eanh l\u1ec7ch \u0111\u00e1ng k\u1ec3 so v\u1edbi th\u1ee9 h\u1ea1ng chung. V\u00ec v\u1eady, doanh nghi\u1ec7p Vi\u1ec7t Nam n\u00ean xem b\u1ea3ng x\u1ebfp h\u1ea1ng AI l\u00e0 \u0111i\u1ec3m kh\u1edfi \u0111\u1ea7u \u0111\u1ec3 ch\u1ecdn danh s\u00e1ch r\u00fat g\u1ecdn, sau \u0111\u00f3 t\u1ef1 \u0111\u00e1nh gi\u00e1 tr\u00ean d\u1eef li\u1ec7u ti\u1ebfng Vi\u1ec7t c\u1ee7a m\u00ecnh tr\u01b0\u1edbc khi quy\u1ebft \u0111\u1ecbnh.<\/p>\n\n\n\n

N\u00ean xem l\u1ea1i b\u1ea3ng x\u1ebfp h\u1ea1ng AI bao l\u00e2u m\u1ed9t l\u1ea7n?<\/strong> V\u1edbi t\u1ed1c \u0111\u1ed9 ra m\u1eaft m\u00f4 h\u00ecnh m\u1edbi nh\u01b0 hi\u1ec7n nay, vi\u1ec7c r\u00e0 so\u00e1t \u0111\u1ecbnh k\u1ef3 h\u00e0ng th\u00e1ng l\u00e0 h\u1ee3p l\u00fd. Nh\u1eefng thay \u0111\u1ed5i l\u1edbn v\u1ec1 gi\u00e1 ho\u1eb7c s\u1ef1 xu\u1ea5t hi\u1ec7n c\u1ee7a m\u00f4 h\u00ecnh open-weights m\u1ea1nh c\u00f3 th\u1ec3 l\u00e0m thay \u0111\u1ed5i ho\u00e0n to\u00e0n b\u00e0i to\u00e1n chi ph\u00ed c\u1ee7a h\u1ec7 th\u1ed1ng \u0111ang v\u1eadn h\u00e0nh.<\/p>\n\n\n\n

\u0110\u00e2y ch\u1ec9 l\u00e0 t\u00f3m t\u1eaft nhanh. B\u1ea1n c\u00f3 th\u1ec3 xem to\u00e0n b\u1ed9 b\u1ea3ng x\u1ebfp h\u1ea1ng, so s\u00e1nh chi ti\u1ebft t\u1eebng m\u00f4 h\u00ecnh v\u00e0 theo d\u00f5i bi\u1ebfn \u0111\u1ed9ng gi\u00e1 theo th\u1eddi gian th\u1ef1c t\u1ea1i: https:\/\/airank.datacore.vn<\/a><\/p>\n\n\n\n

Ph\u01b0\u01a1ng ph\u00e1p x\u1ebfp h\u1ea1ng c\u1ee7a b\u1ea3ng x\u1ebfp h\u1ea1ng AI Rank<\/h2>\n\n\n\n

\u0110\u1ec3 \u0111\u1ecdc b\u1ea3ng x\u1ebfp h\u1ea1ng AI m\u1ed9t c\u00e1ch ch\u00ednh x\u00e1c, c\u1ea7n hi\u1ec3u c\u00e1ch AI Rank t\u00ednh \u0111i\u1ec3m. T\u1ed5ng \u0111i\u1ec3m c\u1ee7a m\u1ed7i m\u00f4 h\u00ecnh \u0111\u01b0\u1ee3c t\u1ed5ng h\u1ee3p t\u1eeb hai tr\u1ee5c ch\u00ednh: ch\u1ec9 s\u1ed1 tr\u00ed tu\u1ec7 (\u0111o kh\u1ea3 n\u0103ng l\u00fd lu\u1eadn, ki\u1ebfn th\u1ee9c v\u00e0 x\u1eed l\u00fd ng\u00f4n ng\u1eef) v\u00e0 ch\u1ec9 s\u1ed1 l\u1eadp tr\u00ecnh (\u0111o kh\u1ea3 n\u0103ng vi\u1ebft, s\u1eeda v\u00e0 t\u00e1i c\u1ea5u tr\u00fac m\u00e3 ngu\u1ed3n). V\u1edbi Claude Fable 5, hai ch\u1ec9 s\u1ed1 n\u00e0y l\u1ea7n l\u01b0\u1ee3t l\u00e0 59.9 v\u00e0 76.5, cho th\u1ea5y th\u1ebf m\u1ea1nh v\u01b0\u1ee3t tr\u1ed9i \u1edf m\u1ea3ng l\u1eadp tr\u00ecnh.<\/p>\n\n\n\n

\"Chip
Ch\u1ec9 s\u1ed1 tr\u00ed tu\u1ec7 v\u00e0 l\u1eadp tr\u00ecnh l\u00e0 hai tr\u1ee5c ch\u00ednh c\u1ee7a AI Rank<\/figcaption><\/figure>\n\n\n\n

B\u00ean c\u1ea1nh t\u1ed5ng \u0111i\u1ec3m, b\u1ea3ng x\u1ebfp h\u1ea1ng AI c\u00f2n theo d\u00f5i c\u00e1c h\u1ea1ng m\u1ee5c chuy\u00ean bi\u1ec7t: t\u1ed1c \u0111\u1ed9 sinh token (Mercury 2 d\u1eabn \u0111\u1ea7u v\u1edbi 1019 token\/gi\u00e2y), t\u1ef7 l\u1ec7 ho\u00e0n th\u00e0nh b\u00e0i ki\u1ec3m tra Aider Polyglot (GPT-5 Chat \u0111\u1ee9ng \u0111\u1ea7u v\u1edbi 88.0%), v\u00e0 time horizon theo \u0111o l\u01b0\u1eddng c\u1ee7a METR, n\u01a1i Claude Opus 4.6 gi\u1eef k\u1ef7 l\u1ee5c 14 gi\u1edd. M\u1ed7i h\u1ea1ng m\u1ee5c ph\u1ea3n \u00e1nh m\u1ed9t kh\u00eda c\u1ea1nh kh\u00e1c nhau c\u1ee7a n\u0103ng l\u1ef1c m\u00f4 h\u00ecnh, v\u00ec v\u1eady m\u1ed9t m\u00f4 h\u00ecnh \u0111\u1ee9ng \u0111\u1ea7u t\u1ed5ng \u0111i\u1ec3m kh\u00f4ng nh\u1ea5t thi\u1ebft l\u00e0 l\u1ef1a ch\u1ecdn t\u1ed1t nh\u1ea5t cho m\u1ecdi b\u00e0i to\u00e1n.<\/p>\n\n\n\n

C\u00e1ch doanh nghi\u1ec7p n\u00ean s\u1eed d\u1ee5ng b\u1ea3ng x\u1ebfp h\u1ea1ng AI<\/h3>\n\n\n\n

Kinh nghi\u1ec7m c\u1ee7a ch\u00fang t\u00f4i khi t\u01b0 v\u1ea5n h\u1ea1 t\u1ea7ng d\u1eef li\u1ec7u l\u00e0 d\u00f9ng b\u1ea3ng x\u1ebfp h\u1ea1ng AI nh\u01b0 m\u1ed9t b\u1ed9 l\u1ecdc \u0111\u1ea7u v\u00e0o, sau \u0111\u00f3 ki\u1ec3m ch\u1ee9ng b\u1eb1ng b\u1ed9 d\u1eef li\u1ec7u th\u1eed nghi\u1ec7m c\u1ee7a ch\u00ednh doanh nghi\u1ec7p. Ba b\u01b0\u1edbc g\u1ee3i \u00fd: ch\u1ecdn ra 3 \u0111\u1ebfn 5 m\u00f4 h\u00ecnh ph\u00f9 h\u1ee3p ng\u00e2n s\u00e1ch t\u1eeb b\u1ea3ng x\u1ebfp h\u1ea1ng, ch\u1ea1y th\u1eed tr\u00ean c\u00e1c t\u00e1c v\u1ee5 th\u1ef1c t\u1ebf b\u1eb1ng ti\u1ebfng Vi\u1ec7t, r\u1ed3i so s\u00e1nh chi ph\u00ed tr\u00ean m\u1ed7i k\u1ebft qu\u1ea3 \u0111\u1ea1t y\u00eau c\u1ea7u thay v\u00ec chi ph\u00ed tr\u00ean m\u1ed7i token. C\u00e1ch l\u00e0m n\u00e0y tr\u00e1nh \u0111\u01b0\u1ee3c vi\u1ec7c tr\u1ea3 ti\u1ec1n cho n\u0103ng l\u1ef1c m\u00e0 \u1ee9ng d\u1ee5ng c\u1ee7a b\u1ea1n kh\u00f4ng c\u1ea7n \u0111\u1ebfn.<\/p>\n\n\n\n

Checklist l\u1ef1a ch\u1ecdn m\u00f4 h\u00ecnh t\u1eeb b\u1ea3ng x\u1ebfp h\u1ea1ng AI<\/h3>\n\n\n\n

Tr\u01b0\u1edbc khi ch\u1ed1t m\u00f4 h\u00ecnh cho d\u1ef1 \u00e1n, \u0111\u1ed9i ng\u0169 k\u1ef9 thu\u1eadt c\u00f3 th\u1ec3 \u0111\u1ed1i chi\u1ebfu nhanh c\u00e1c ti\u00eau ch\u00ed sau v\u1edbi d\u1eef li\u1ec7u tr\u00ean b\u1ea3ng x\u1ebfp h\u1ea1ng AI:<\/p>\n\n\n\n

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  • X\u00e1c \u0111\u1ecbnh tr\u1ea7n ng\u00e2n s\u00e1ch tr\u00ean m\u1ed7i tri\u1ec7u token output v\u00e0 l\u1ecdc c\u00e1c m\u00f4 h\u00ecnh v\u01b0\u1ee3t ng\u00e2n s\u00e1ch ngay t\u1eeb \u0111\u1ea7u.<\/li>\n\n\n\n
  • \u01afu ti\u00ean ch\u1ec9 s\u1ed1 ph\u00f9 h\u1ee3p b\u00e0i to\u00e1n: \u0111i\u1ec3m l\u1eadp tr\u00ecnh cho c\u00f4ng c\u1ee5 developer, \u0111i\u1ec3m tr\u00ed tu\u1ec7 cho ph\u00e2n t\u00edch v\u00e0 t\u01b0 v\u1ea5n.<\/li>\n\n\n\n
  • Ki\u1ec3m tra t\u1ed1c \u0111\u1ed9 sinh token n\u1ebfu \u1ee9ng d\u1ee5ng c\u1ea7n ph\u1ea3n h\u1ed3i th\u1eddi gian th\u1ef1c nh\u01b0 chatbot ch\u0103m s\u00f3c kh\u00e1ch h\u00e0ng.<\/li>\n\n\n\n
  • \u0110\u1ed1i chi\u1ebfu \u0111\u1ed9 d\u00e0i context window v\u1edbi k\u00edch th\u01b0\u1edbc t\u00e0i li\u1ec7u trung b\u00ecnh m\u00e0 h\u1ec7 th\u1ed1ng ph\u1ea3i x\u1eed l\u00fd.<\/li>\n\n\n\n
  • C\u00e2n nh\u1eafc m\u00f4 h\u00ecnh open-weights khi d\u1eef li\u1ec7u b\u1eaft bu\u1ed9c ph\u1ea3i l\u01b0u tr\u00fa t\u1ea1i Vi\u1ec7t Nam theo quy \u0111\u1ecbnh.<\/li>\n\n\n\n
  • Ch\u1ea1y th\u1eed nghi\u1ec7m A\/B tr\u00ean d\u1eef li\u1ec7u ti\u1ebfng Vi\u1ec7t th\u1ef1c t\u1ebf tr\u01b0\u1edbc khi k\u00fd h\u1ee3p \u0111\u1ed3ng d\u00e0i h\u1ea1n v\u1edbi nh\u00e0 cung c\u1ea5p.<\/li>\n<\/ul>\n\n\n\n

    M\u1ed9t l\u01b0u \u00fd cu\u1ed1i: b\u1ea3ng x\u1ebfp h\u1ea1ng AI thay \u0111\u1ed5i h\u00e0ng th\u00e1ng v\u00e0 kho\u1ea3ng c\u00e1ch gi\u1eefa c\u00e1c m\u00f4 h\u00ecnh ng\u00e0y c\u00e0ng h\u1eb9p. Ki\u1ebfn tr\u00fac h\u1ec7 th\u1ed1ng n\u00ean \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf \u0111\u1ec3 c\u00f3 th\u1ec3 thay m\u00f4 h\u00ecnh n\u1ec1n m\u00e0 kh\u00f4ng ph\u1ea3i vi\u1ebft l\u1ea1i to\u00e0n b\u1ed9 \u1ee9ng d\u1ee5ng, ch\u1eb3ng h\u1ea1n th\u00f4ng qua m\u1ed9t l\u1edbp tr\u1eebu t\u01b0\u1ee3ng h\u00f3a API. \u0110i\u1ec1u n\u00e0y gi\u00fap doanh nghi\u1ec7p t\u1eadn d\u1ee5ng \u0111\u01b0\u1ee3c m\u1ee9c gi\u00e1 \u0111ang gi\u1ea3m nhanh v\u00e0 nh\u1eefng b\u01b0\u1edbc ti\u1ebfn m\u1edbi m\u00e0 kh\u00f4ng b\u1ecb kh\u00f3a ch\u1eb7t v\u00e0o m\u1ed9t nh\u00e0 cung c\u1ea5p duy nh\u1ea5t.<\/p>\n\n\n\n

    So s\u00e1nh nhanh c\u00e1c m\u00f4 h\u00ecnh d\u1eabn \u0111\u1ea7u b\u1ea3ng x\u1ebfp h\u1ea1ng AI<\/h3>\n\n\n\n

    B\u1ea3ng d\u01b0\u1edbi \u0111\u00e2y t\u00f3m t\u1eaft c\u00e1c m\u00f4 h\u00ecnh \u0111\u00e1ng ch\u00fa \u00fd nh\u1ea5t trong k\u1ef3 x\u1ebfp h\u1ea1ng th\u00e1ng 7\/2026, k\u00e8m ghi ch\u00fa gi\u00fap b\u1ea1n \u0111\u1ecbnh v\u1ecb nhanh t\u1eebng l\u1ef1a ch\u1ecdn:<\/p>\n\n\n\n

    M\u00f4 h\u00ecnh<\/th>Nh\u00e0 cung c\u1ea5p<\/th>T\u1ed5ng \u0111i\u1ec3m<\/th>Ghi ch\u00fa n\u1ed5i b\u1eadt<\/th><\/tr><\/thead>
    Claude Fable 5<\/td>Anthropic<\/td>65.8<\/td>Tr\u00ed tu\u1ec7 59.9, l\u1eadp tr\u00ecnh 76.5, d\u1ef1 ph\u00f2ng Opus 4.8<\/td><\/tr>
    Claude Opus 4.8<\/td>Anthropic<\/td>62.3<\/td>M\u00f4 h\u00ecnh d\u1ef1 ph\u00f2ng c\u1ee7a Fable 5<\/td><\/tr>
    GPT-5.5 (xhigh)<\/td>OpenAI<\/td>61.9<\/td>\u0110\u1ed1i th\u1ee7 c\u1ea1nh tranh g\u1ea7n nh\u1ea5t<\/td><\/tr>
    Claude Opus 4.7<\/td>Anthropic<\/td>60.6<\/td>Th\u1ebf h\u1ec7 tr\u01b0\u1edbc c\u1ee7a Opus 4.8<\/td><\/tr>
    Claude Sonnet 5<\/td>Anthropic<\/td>59.8<\/td>C\u00e2n b\u1eb1ng gi\u1eefa chi ph\u00ed v\u00e0 hi\u1ec7u n\u0103ng<\/td><\/tr>
    GLM-5.2 (max)<\/td>Zhipu AI<\/td>57.3<\/td>Open-weights, gi\u00e1 2.15 USD\/tri\u1ec7u token<\/td><\/tr><\/tbody><\/table>
    C\u00e1c m\u00f4 h\u00ecnh n\u1ed5i b\u1eadt tr\u00ean b\u1ea3ng x\u1ebfp h\u1ea1ng AI th\u00e1ng 7\/2026 (ngu\u1ed3n: airank.datacore.vn)<\/figcaption><\/figure>\n\n\n\n

    Nh\u00ecn v\u00e0o b\u1ea3ng so s\u00e1nh, \u0111i\u1ec3m \u0111\u00e1ng ch\u00fa \u00fd nh\u1ea5t kh\u00f4ng ph\u1ea3i l\u00e0 v\u1ecb tr\u00ed qu\u00e1n qu\u00e2n m\u00e0 l\u00e0 m\u1eadt \u0111\u1ed9 c\u00e1c m\u00f4 h\u00ecnh Anthropic \u1edf nh\u00f3m d\u1eabn \u0111\u1ea7u v\u00e0 s\u1ef1 hi\u1ec7n di\u1ec7n c\u1ee7a m\u1ed9t \u0111\u1ea1i di\u1ec7n open-weights v\u1edbi m\u1ee9c gi\u00e1 th\u1ea5p h\u01a1n nhi\u1ec1u l\u1ea7n. V\u1edbi nh\u1eefng \u0111\u1ed9i ng\u0169 \u0111ang c\u00e2n \u0111\u1ed1i gi\u1eefa ch\u1ea5t l\u01b0\u1ee3ng \u0111\u1ea7u ra v\u00e0 t\u1ed5ng chi ph\u00ed s\u1edf h\u1eefu, \u0111\u00e2y l\u00e0 k\u1ef3 x\u1ebfp h\u1ea1ng cho th\u1ea5y nhi\u1ec1u l\u1ef1a ch\u1ecdn th\u1ef1c d\u1ee5ng h\u01a1n h\u1eb3n so v\u1edbi giai \u0111o\u1ea1n tr\u01b0\u1edbc.<\/p>\n\n\n\n

    B\u1ed1i c\u1ea3nh c\u1ea1nh tranh nh\u00ecn t\u1eeb b\u1ea3ng x\u1ebfp h\u1ea1ng AI th\u00e1ng n\u00e0y<\/h2>\n\n\n\n

    K\u1ef3 x\u1ebfp h\u1ea1ng th\u00e1ng 7\/2026 \u0111\u00e1nh d\u1ea5u m\u1ed9t c\u1ed9t m\u1ed1c ch\u01b0a t\u1eebng c\u00f3: l\u1ea7n \u0111\u1ea7u ti\u00ean trong l\u1ecbch s\u1eed AI Rank, m\u1ed9t c\u00f4ng ty \u0111\u01a1n l\u1ebb n\u1eafm gi\u1eef n\u0103m m\u00f4 h\u00ecnh li\u00ean ti\u1ebfp \u1edf nh\u00f3m d\u1eabn \u0111\u1ea7u. \u0110i\u1ec1u n\u00e0y ph\u1ea3n \u00e1nh chi\u1ebfn l\u01b0\u1ee3c ph\u00e1t h\u00e0nh theo l\u1edbp c\u1ee7a Anthropic, trong \u0111\u00f3 c\u00e1c th\u1ebf h\u1ec7 m\u00f4 h\u00ecnh c\u0169 h\u01a1n nh\u01b0 Opus 4.7 v\u1eabn duy tr\u00ec s\u1ee9c c\u1ea1nh tranh thay v\u00ec b\u1ecb thay th\u1ebf ho\u00e0n to\u00e0n. V\u1edbi ng\u01b0\u1eddi d\u00f9ng doanh nghi\u1ec7p, c\u00e1ch ti\u1ebfp c\u1eadn n\u00e0y mang l\u1ea1i l\u1ed9 tr\u00ecnh n\u00e2ng c\u1ea5p m\u01b0\u1ee3t h\u01a1n: \u1ee9ng d\u1ee5ng x\u00e2y tr\u00ean Opus 4.7 c\u00f3 th\u1ec3 chuy\u1ec3n d\u1ea7n sang Opus 4.8 ho\u1eb7c Fable 5 m\u00e0 kh\u00f4ng g\u1eb7p thay \u0111\u1ed5i \u0111\u1ed9t ng\u1ed9t v\u1ec1 h\u00e0nh vi m\u00f4 h\u00ecnh.<\/p>\n\n\n\n

    \u1ede chi\u1ec1u ng\u01b0\u1ee3c l\u1ea1i, s\u1ef1 ki\u1ec7n GPT-5.5 c\u1ee7a OpenAI chen v\u00e0o gi\u1eefa nh\u00f3m m\u00f4 h\u00ecnh Claude cho th\u1ea5y cu\u1ed9c \u0111ua v\u1eabn ch\u01b0a ng\u00e3 ng\u0169. Ch\u00eanh l\u1ec7ch \u0111i\u1ec3m s\u1ed1 gi\u1eefa c\u00e1c v\u1ecb tr\u00ed d\u1eabn \u0111\u1ea7u hi\u1ec7n nh\u1ecf h\u01a1n nhi\u1ec1u so v\u1edbi sai s\u1ed1 \u0111o l\u01b0\u1eddng c\u1ee7a ph\u1ea7n l\u1edbn b\u00e0i ki\u1ec3m tra, ngh\u0129a l\u00e0 th\u1ee9 h\u1ea1ng c\u00f3 th\u1ec3 \u0111\u1ea3o chi\u1ec1u ch\u1ec9 sau m\u1ed9t b\u1ea3n c\u1eadp nh\u1eadt. \u0110\u00e2y l\u00e0 l\u00fd do b\u1ea3ng x\u1ebfp h\u1ea1ng AI n\u00ean \u0111\u01b0\u1ee3c theo d\u00f5i nh\u01b0 m\u1ed9t chu\u1ed7i th\u1eddi gian thay v\u00ec m\u1ed9t b\u1ee9c \u1ea3nh ch\u1ee5p t\u1ea1i m\u1ed9t th\u1eddi \u0111i\u1ec3m.<\/p>\n\n\n\n

    \u0110i\u1ec1u c\u1ea7n theo d\u00f5i trong c\u00e1c k\u1ef3 x\u1ebfp h\u1ea1ng t\u1edbi<\/h3>\n\n\n\n

    C\u00f3 ba t\u00edn hi\u1ec7u \u0111\u00e1ng ch\u00fa \u00fd cho c\u00e1c k\u1ef3 c\u1eadp nh\u1eadt ti\u1ebfp theo c\u1ee7a b\u1ea3ng x\u1ebfp h\u1ea1ng AI. Th\u1ee9 nh\u1ea5t l\u00e0 t\u1ed1c \u0111\u1ed9 thu h\u1eb9p kho\u1ea3ng c\u00e1ch c\u1ee7a c\u00e1c m\u00f4 h\u00ecnh open-weights: GLM-5.2 \u0111\u00e3 v\u00e0o top 10 v\u1edbi chi ph\u00ed th\u1ea5p h\u01a1n nhi\u1ec1u l\u1ea7n c\u00e1c m\u00f4 h\u00ecnh th\u01b0\u01a1ng m\u1ea1i, v\u00e0 n\u1ebfu xu h\u01b0\u1edbng n\u00e0y ti\u1ebfp di\u1ec5n, c\u1ea5u tr\u00fac gi\u00e1 c\u1ee7a to\u00e0n th\u1ecb tr\u01b0\u1eddng s\u1ebd ch\u1ecbu \u00e1p l\u1ef1c gi\u1ea3m m\u1ea1nh h\u01a1n n\u1eefa.<\/p>\n\n\n\n

    Th\u1ee9 hai l\u00e0 cu\u1ed9c \u0111ua context window sau k\u1ef7 l\u1ee5c 10 tri\u1ec7u token c\u1ee7a Llama 4 Scout, y\u1ebfu t\u1ed1 \u0111\u1eb7c bi\u1ec7t quan tr\u1ecdng v\u1edbi c\u00e1c b\u00e0i to\u00e1n ph\u00e2n t\u00edch kho t\u00e0i li\u1ec7u l\u1edbn. Th\u1ee9 ba l\u00e0 ch\u1ec9 s\u1ed1 time horizon c\u1ee7a METR, th\u01b0\u1edbc \u0111o ng\u00e0y c\u00e0ng \u0111\u01b0\u1ee3c quan t\u00e2m khi c\u00e1c doanh nghi\u1ec7p tri\u1ec3n khai t\u00e1c t\u1eed AI cho quy tr\u00ecnh l\u00e0m vi\u1ec7c d\u00e0i v\u00e0 ph\u1ee9c t\u1ea1p.<\/p>\n\n\n\n

    V\u1edbi th\u1ecb tr\u01b0\u1eddng Vi\u1ec7t Nam, s\u1ef1 k\u1ebft h\u1ee3p gi\u1eefa gi\u00e1 gi\u1ea3m v\u00e0 n\u0103ng l\u1ef1c t\u0103ng \u0111\u1ed3ng ngh\u0129a v\u1edbi vi\u1ec7c r\u00e0o c\u1ea3n \u1ee9ng d\u1ee5ng AI \u0111ang th\u1ea5p d\u1ea7n theo t\u1eebng qu\u00fd. Nh\u1eefng b\u00e0i to\u00e1n t\u1eebng b\u1ecb coi l\u00e0 qu\u00e1 t\u1ed1n k\u00e9m nh\u01b0 ph\u00e2n t\u00edch to\u00e0n b\u1ed9 h\u1ee3p \u0111\u1ed3ng l\u01b0u tr\u1eef, t\u1ef1 \u0111\u1ed9ng h\u00f3a ch\u0103m s\u00f3c kh\u00e1ch h\u00e0ng \u0111a k\u00eanh hay x\u00e2y d\u1ef1ng tr\u1ee3 l\u00fd n\u1ed9i b\u1ed9 tr\u00ean kho tri th\u1ee9c doanh nghi\u1ec7p gi\u1edd \u0111\u00e2y \u0111\u1ec1u c\u00f3 \u00edt nh\u1ea5t m\u1ed9t ph\u01b0\u01a1ng \u00e1n kh\u1ea3 thi v\u1ec1 chi ph\u00ed tr\u00ean b\u1ea3ng x\u1ebfp h\u1ea1ng AI hi\u1ec7n t\u1ea1i.<\/p>","protected":false},"excerpt":{"rendered":"

    Claude Fable 5 c\u1ee7a Anthropic ch\u00ednh th\u1ee9c d\u1eabn \u0111\u1ea7u b\u1ea3ng x\u1ebfp h\u1ea1ng AI Rank th\u00e1ng n\u00e0y v\u1edbi t\u1ed5ng \u0111i\u1ec3m 65.8 (tr\u00ed tu\u1ec7: 59.9, l\u1eadp tr\u00ecnh: 76.5) - m\u00f4 h\u00ecnh k\u1ebft h\u1ee3p l\u00fd lu\u1eadn th\u00edch \u1ee9ng v\u1edbi c\u01a1 ch\u1ebf d\u1ef1 ph\u00f2ng Opus 4.8. C\u00e0ng \u1ea5n t\u01b0\u1ee3ng h\u01a1n, Anthropic chi\u1ebfm tr\u1ecdn 5 v\u1ecb tr\u00ed \u0111\u1ea7u ti\u00ean trong […]<\/p>\n","protected":false},"author":19,"featured_media":1825,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"content-type":"","_uag_custom_page_level_css":"","_swt_meta_header_display":false,"_swt_meta_footer_display":false,"_swt_meta_site_title_display":false,"_swt_meta_sticky_header":false,"_swt_meta_transparent_header":false,"footnotes":""},"categories":[19,82],"tags":[560,662,735,1099,671],"class_list":["post-2029","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog-vi","category-cong-nghe-vi","tag-anthropic-vi","tag-ai-viet-nam-2-vi","tag-claude-fable-5-vi","tag-dc-2026-w27-vi-vi","tag-mo-hinh-ai-vi"],"uagb_featured_image_src":{"full":["https:\/\/blog.datacore.vn\/wp-content\/uploads\/2026\/06\/ai-technology.jpg",1280,685,false],"thumbnail":["https:\/\/blog.datacore.vn\/wp-content\/uploads\/2026\/06\/ai-technology-150x150.jpg",150,150,true],"medium":["https:\/\/blog.datacore.vn\/wp-content\/uploads\/2026\/06\/ai-technology-300x161.jpg",300,161,true],"medium_large":["https:\/\/blog.datacore.vn\/wp-content\/uploads\/2026\/06\/ai-technology-768x411.jpg",768,411,true],"large":["https:\/\/blog.datacore.vn\/wp-content\/uploads\/2026\/06\/ai-technology-1024x548.jpg",1024,548,true],"1536x1536":["https:\/\/blog.datacore.vn\/wp-content\/uploads\/2026\/06\/ai-technology.jpg",1280,685,false],"2048x2048":["https:\/\/blog.datacore.vn\/wp-content\/uploads\/2026\/06\/ai-technology.jpg",1280,685,false],"trp-custom-language-flag":["https:\/\/blog.datacore.vn\/wp-content\/uploads\/2026\/06\/ai-technology-18x10.jpg",18,10,true]},"uagb_author_info":{"display_name":"DataCore Marketing","author_link":"https:\/\/blog.datacore.vn\/vi\/author\/datacore_marketing\/"},"uagb_comment_info":0,"uagb_excerpt":"Claude Fable 5 c\u1ee7a Anthropic ch\u00ednh th\u1ee9c d\u1eabn \u0111\u1ea7u b\u1ea3ng x\u1ebfp h\u1ea1ng AI Rank th\u00e1ng n\u00e0y v\u1edbi t\u1ed5ng \u0111i\u1ec3m 65.8 (tr\u00ed tu\u1ec7: 59.9, l\u1eadp tr\u00ecnh: 76.5) - m\u00f4 h\u00ecnh k\u1ebft h\u1ee3p l\u00fd lu\u1eadn th\u00edch \u1ee9ng v\u1edbi c\u01a1 ch\u1ebf d\u1ef1 ph\u00f2ng Opus 4.8. C\u00e0ng \u1ea5n t\u01b0\u1ee3ng h\u01a1n, Anthropic chi\u1ebfm tr\u1ecdn 5 v\u1ecb tr\u00ed \u0111\u1ea7u ti\u00ean trong…","_links":{"self":[{"href":"https:\/\/blog.datacore.vn\/vi\/wp-json\/wp\/v2\/posts\/2029","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blog.datacore.vn\/vi\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blog.datacore.vn\/vi\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blog.datacore.vn\/vi\/wp-json\/wp\/v2\/users\/19"}],"replies":[{"embeddable":true,"href":"https:\/\/blog.datacore.vn\/vi\/wp-json\/wp\/v2\/comments?post=2029"}],"version-history":[{"count":4,"href":"https:\/\/blog.datacore.vn\/vi\/wp-json\/wp\/v2\/posts\/2029\/revisions"}],"predecessor-version":[{"id":2311,"href":"https:\/\/blog.datacore.vn\/vi\/wp-json\/wp\/v2\/posts\/2029\/revisions\/2311"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/blog.datacore.vn\/vi\/wp-json\/wp\/v2\/media\/1825"}],"wp:attachment":[{"href":"https:\/\/blog.datacore.vn\/vi\/wp-json\/wp\/v2\/media?parent=2029"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blog.datacore.vn\/vi\/wp-json\/wp\/v2\/categories?post=2029"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blog.datacore.vn\/vi\/wp-json\/wp\/v2\/tags?post=2029"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}