{"id":1543,"date":"2026-06-16T09:21:35","date_gmt":"2026-06-16T02:21:35","guid":{"rendered":"https:\/\/blog.datacore.vn\/?p=1543"},"modified":"2026-06-16T11:11:50","modified_gmt":"2026-06-16T04:11:50","slug":"mo-hinh-ai-tot-nhat-claude-fable-5","status":"publish","type":"post","link":"https:\/\/blog.datacore.vn\/vi\/mo-hinh-ai-tot-nhat-claude-fable-5\/","title":{"rendered":"Claude Fable 5 \u0111\u00e3 ra m\u1eaft: C\u00f3 th\u1ef1c s\u1ef1 l\u00e0 m\u00f4 h\u00ecnh AI t\u1ed1t nh\u1ea5t? (B\u1ea3ng x\u1ebfp h\u1ea1ng tr\u1ef1c ti\u1ebfp, 6\/2026)"},"content":{"rendered":"<p><strong>Xu\u1ea5t b\u1ea3n:<\/strong> 14\/06\/2026 &nbsp;|&nbsp; <strong>C\u1eadp nh\u1eadt l\u1ea7n cu\u1ed1i:<\/strong> 14\/06\/2026<\/p>\n<div style=\"border-left:4px solid #0a66c2;background:#f4f8fc;padding:16px 20px;margin:20px 0;\">\n<p><strong>T\u00f3m t\u1eaft nhanh.<\/strong> Anthropic ra m\u1eaft Claude Fable 5 ng\u00e0y 09\/06\/2026 v\u00e0 g\u1ecdi \u0111\u00e2y l\u00e0 m\u00f4 h\u00ecnh c\u00f4ng khai m\u1ea1nh nh\u1ea5t t\u1eeb tr\u01b0\u1edbc \u0111\u1ebfn nay. Tr\u00ean <a href=\"https:\/\/airank.datacore.vn\" target=\"_blank\" rel=\"noopener\">B\u1ea3ng x\u1ebfp h\u1ea1ng AI c\u1ee7a DataCore<\/a>, theo d\u00f5i 527 m\u00f4 h\u00ecnh t\u1eeb 58 nh\u00e0 cung c\u1ea5p theo th\u1eddi gian th\u1ef1c, Fable 5 \u0111\u1ee9ng \u0111\u1ea7u v\u1edbi \u0111i\u1ec3m t\u1ed5ng h\u1ee3p 63,9, v\u01b0\u1ee3t GPT-5.5 (59,8) v\u00e0 Claude Opus 4.8 (59,7). Nh\u01b0ng \"t\u1ed1t nh\u1ea5t\" t\u00f9y thu\u1ed9c v\u00e0o b\u1ea1n \u0111o l\u01b0\u1eddng g\u00ec: GPT-5.2 d\u1eabn \u0111\u1ea7u v\u1ec1 to\u00e1n (99), Mercury 2 nhanh nh\u1ea5t (947 token\/gi\u00e2y), v\u00e0 220 m\u00f4 h\u00ecnh m\u00e3 ngu\u1ed3n m\u1edf \u0111ang thu h\u1eb9p kho\u1ea3ng c\u00e1ch. Xem b\u1ea3ng x\u1ebfp h\u1ea1ng tr\u1ef1c ti\u1ebfp t\u1ea1i <a href=\"https:\/\/airank.datacore.vn\" target=\"_blank\" rel=\"noopener\">airank.datacore.vn<\/a>.<\/p>\n<\/div>\n<h2>Claude Fable 5 c\u00f3 th\u1ef1c s\u1ef1 chi\u1ebfm v\u1ecb tr\u00ed s\u1ed1 1 kh\u00f4ng?<\/h2>\n<p>C\u00f3. T\u00ednh \u0111\u1ebfn ng\u00e0y 14\/06\/2026, Claude Fable 5 (Anthropic) \u0111\u1ee9ng \u0111\u1ea7u <a href=\"https:\/\/airank.datacore.vn\" target=\"_blank\" rel=\"noopener\">B\u1ea3ng x\u1ebfp h\u1ea1ng AI c\u1ee7a DataCore<\/a> v\u1edbi \u0111i\u1ec3m t\u1ed5ng h\u1ee3p 63,9, g\u1ed3m Ch\u1ec9 s\u1ed1 Tr\u00ed tu\u1ec7 64,9 v\u00e0 \u0111i\u1ec3m L\u1eadp tr\u00ecnh 62. M\u00f4 h\u00ecnh \u0111\u1ea7u b\u1ea3ng m\u1edbi n\u00e0o c\u0169ng t\u1ef1 nh\u1eadn l\u00e0 \"m\u00f4 h\u00ecnh AI t\u1ed1t nh\u1ea5t\". \u0110i\u1ec3m kh\u00e1c bi\u1ec7t l\u00e0 b\u1ea1n kh\u00f4ng c\u00f2n ph\u1ea3i tin v\u00e0o b\u00e0i \u0111\u0103ng ra m\u1eaft n\u1eefa. B\u1ea3ng x\u1ebfp h\u1ea1ng c\u1eadp nh\u1eadt t\u1eeb c\u00e1c ngu\u1ed3n benchmark tr\u1ef1c ti\u1ebfp kho\u1ea3ng 10 ph\u00fat m\u1ed9t l\u1ea7n.<\/p>\n<figure class=\"wp-block-table\">\n<table>\n<thead>\n<tr>\n<th>H\u1ea1ng<\/th>\n<th>M\u00f4 h\u00ecnh<\/th>\n<th>Nh\u00e0 cung c\u1ea5p<\/th>\n<th>\u0110i\u1ec3m t\u1ed5ng h\u1ee3p<\/th>\n<th>Tr\u00ed tu\u1ec7<\/th>\n<th>L\u1eadp tr\u00ecnh<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>1<\/td>\n<td>Claude Fable 5<\/td>\n<td>Anthropic<\/td>\n<td><strong>63,9<\/strong><\/td>\n<td>64,9<\/td>\n<td>62<\/td>\n<\/tr>\n<tr>\n<td>2<\/td>\n<td>GPT-5.5 (xhigh)<\/td>\n<td>OpenAI<\/td>\n<td>59,8<\/td>\n<td>60,2<\/td>\n<td>59,1<\/td>\n<\/tr>\n<tr>\n<td>3<\/td>\n<td>Claude Opus 4.8<\/td>\n<td>Anthropic<\/td>\n<td>59,7<\/td>\n<td>61,4<\/td>\n<td>56,7<\/td>\n<\/tr>\n<tr>\n<td>4<\/td>\n<td>GPT-5.2 (xhigh)<\/td>\n<td>OpenAI<\/td>\n<td>57,7<\/td>\n<td>51,3<\/td>\n<td>48,7<\/td>\n<\/tr>\n<tr>\n<td>6<\/td>\n<td>Gemini 3.1 Pro Preview<\/td>\n<td>Google<\/td>\n<td>56,6<\/td>\n<td>57,2<\/td>\n<td>55,5<\/td>\n<\/tr>\n<\/tbody>\n<\/table><figcaption>Ngu\u1ed3n: B\u1ea3ng x\u1ebfp h\u1ea1ng AI c\u1ee7a DataCore (airank.datacore.vn), t\u00ednh \u0111\u1ebfn 14\/06\/2026. \u0110i\u1ec3m t\u1ed5ng h\u1ee3p = Tr\u00ed tu\u1ec7 55% + L\u1eadp tr\u00ecnh 30% + To\u00e1n 15%. D\u1eef li\u1ec7u benchmark t\u1eeb Artificial Analysis; danh m\u1ee5c v\u00e0 gi\u00e1 t\u1eeb OpenRouter.<\/figcaption><\/figure>\n<p><strong>\u0110i\u1ec3m m\u1ea5u ch\u1ed1t:<\/strong> Fable 5 d\u1eabn \u0111\u1ea7u, nh\u01b0ng kho\u1ea3ng c\u00e1ch t\u1edbi nh\u00f3m k\u1ebf ti\u1ebfp r\u1ea5t nh\u1ecf (kho\u1ea3ng 4 \u0111i\u1ec3m so v\u1edbi GPT-5.5). \u0110\u00e2y l\u00e0 cu\u1ed9c \u0111ua tay ba \u1edf tuy\u1ebfn \u0111\u1ea7u gi\u1eefa Anthropic, OpenAI v\u00e0 Google.<\/p>\n<h2>Claude Fable 5 l\u00e0 g\u00ec v\u00e0 t\u1ea1i sao g\u00e2y s\u1ed1t?<\/h2>\n<p>Claude Fable 5 l\u00e0 m\u00f4 h\u00ecnh l\u1edbp Mythos \u0111\u1ea7u ti\u00ean c\u1ee7a Anthropic m\u1edf cho c\u00f4ng ch\u00fang, ra m\u1eaft ng\u00e0y 09\/06\/2026 c\u00f9ng v\u1edbi b\u1ea3n gi\u1edbi h\u1ea1n Claude Mythos 5. Anthropic m\u00f4 t\u1ea3 \u0111\u00e2y l\u00e0 m\u00f4 h\u00ecnh \u0111\u1ea1t \u0111\u1ec9nh cao tr\u00ean g\u1ea7n nh\u01b0 m\u1ecdi benchmark \u0111\u00e3 ki\u1ec3m tra, v\u1edbi \u0111i\u1ec3m cao h\u01a1n Claude Opus 4.8 h\u01a1n 10% \u1edf m\u1ed9t s\u1ed1 b\u00e0i \u0111\u00e1nh gi\u00e1 (ngu\u1ed3n: Anthropic, 09\/06\/2026). \u1ede c\u00e1c l\u0129nh v\u1ef1c r\u1ee7i ro cao nh\u01b0 an ninh m\u1ea1ng, sinh h\u1ecdc v\u00e0 h\u00f3a h\u1ecdc, m\u00f4 h\u00ecnh ch\u1ee7 \u0111\u1ed9ng ch\u1eb7n ph\u1ea3n h\u1ed3i v\u00e0 chuy\u1ec3n v\u1ec1 Claude Opus 4.8.<\/p>\n<p>V\u1ec1 gi\u00e1: Fable 5 mi\u1ec5n ph\u00ed cho c\u00e1c g\u00f3i Pro, Max, Team v\u00e0 Enterprise theo ch\u1ed7 ng\u1ed3i \u0111\u1ebfn h\u1ebft 22\/06\/2026. T\u1eeb 23\/06\/2026, gi\u00e1 l\u00e0 10 USD cho m\u1ed7i 1 tri\u1ec7u token \u0111\u1ea7u v\u00e0o v\u00e0 50 USD cho m\u1ed7i 1 tri\u1ec7u token \u0111\u1ea7u ra (ngu\u1ed3n: Anthropic, 09\/06\/2026). Ch\u00ednh c\u1eeda s\u1ed5 mi\u1ec5n ph\u00ed n\u00e0y l\u00e0 l\u00fd do tu\u1ea7n n\u00e0y l\u00e0 th\u1eddi \u0111i\u1ec3m \u0111\u1ec3 so s\u00e1nh n\u00f3 v\u1edbi c\u1ea3 th\u1ecb tr\u01b0\u1eddng.<\/p>\n<h2>\"T\u1ed1t nh\u1ea5t\" t\u00f9y thu\u1ed9c v\u00e0o \u0111o l\u01b0\u1eddng g\u00ec: t\u1ed1c \u0111\u1ed9, gi\u00e1 v\u00e0 l\u00e0n s\u00f3ng m\u00e3 ngu\u1ed3n m\u1edf<\/h2>\n<p>M\u1ed9t con s\u1ed1 duy nh\u1ea5t che gi\u1ea5u nh\u1eefng \u0111\u00e1nh \u0111\u1ed5i th\u1ef1c s\u1ef1 quy\u1ebft \u0111\u1ecbnh b\u1ea1n n\u00ean d\u00f9ng m\u00f4 h\u00ecnh n\u00e0o. Tr\u00ean b\u1ea3ng x\u1ebfp h\u1ea1ng DataCore hi\u1ec7n t\u1ea1i:<\/p>\n<ul>\n<li><strong>T\u1ed1t nh\u1ea5t v\u1ec1 to\u00e1n:<\/strong> GPT-5.2 (xhigh) v\u1edbi \u0111i\u1ec3m to\u00e1n 99.<\/li>\n<li><strong>T\u1ed1c \u0111\u1ed9 \u0111\u1ea7u ra nhanh nh\u1ea5t:<\/strong> Mercury 2 v\u1edbi kho\u1ea3ng 947 token m\u1ed7i gi\u00e2y.<\/li>\n<li><strong>M\u00f4 h\u00ecnh tuy\u1ebfn \u0111\u1ea7u r\u1ebb nh\u1ea5t:<\/strong> Claude Opus 4.8 v\u1edbi kho\u1ea3ng 10 USD m\u1ed7i 1 tri\u1ec7u token \u0111\u1ea7u ra.<\/li>\n<li><strong>Time horizon d\u00e0i nh\u1ea5t:<\/strong> Claude Opus 4.6 v\u1edbi kho\u1ea3ng 14 gi\u1edd (th\u01b0\u1edbc \u0111o c\u1ee7a METR).<\/li>\n<li><strong>C\u1eeda s\u1ed5 ng\u1eef c\u1ea3nh l\u1edbn nh\u1ea5t:<\/strong> Llama 4 Scout v\u1edbi 10 tri\u1ec7u token.<\/li>\n<\/ul>\n<p>B\u1ea3ng c\u0169ng theo d\u00f5i 220 m\u00f4 h\u00ecnh m\u00e3 ngu\u1ed3n m\u1edf trong t\u1ed5ng s\u1ed1 527. C\u00e1c m\u00f4 h\u00ecnh tuy\u1ebfn \u0111\u1ea7u c\u1ee7a Trung Qu\u1ed1c nh\u01b0 Qwen3.7-Max, DeepSeek V4, Kimi K2 v\u00e0 GLM t\u1eadp trung \u1edf kho\u1ea3ng Tr\u00ed tu\u1ec7 50 \u0111\u1ebfn 57, d\u00f9 g\u1ea7n tuy\u1ebfn \u0111\u1ea7u ph\u01b0\u01a1ng T\u00e2y \u0111\u1ebfn m\u1ee9c v\u1edbi kh\u1ed1i l\u01b0\u1ee3ng l\u1edbn, chi ph\u00ed tr\u1edf th\u00e0nh y\u1ebfu t\u1ed1 quy\u1ebft \u0111\u1ecbnh. So s\u00e1nh hai m\u00f4 h\u00ecnh c\u1ea1nh nhau tr\u00ean <a href=\"https:\/\/airank.datacore.vn\/compare\" target=\"_blank\" rel=\"noopener\">trang so s\u00e1nh<\/a>.<\/p>\n<h2>B\u1ea3ng x\u1ebfp h\u1ea1ng AI c\u1ee7a DataCore ho\u1ea1t \u0111\u1ed9ng th\u1ebf n\u00e0o?<\/h2>\n<p>B\u1ea3ng x\u1ebfp h\u1ea1ng t\u1ed5ng h\u1ee3p b\u1ed1n ngu\u1ed3n c\u00f4ng khai: <strong>Artificial Analysis<\/strong> (Ch\u1ec9 s\u1ed1 Tr\u00ed tu\u1ec7 v4, l\u1eadp tr\u00ecnh, to\u00e1n, t\u1ed1c \u0111\u1ed9, gi\u00e1), <strong>METR<\/strong> (time horizon ho\u00e0n th\u00e0nh t\u00e1c v\u1ee5 50%), <strong>Aider Polyglot<\/strong> (t\u1ef7 l\u1ec7 v\u01b0\u1ee3t b\u00e0i ch\u1ec9nh s\u1eeda m\u00e3 \u0111a ng\u00f4n ng\u1eef) v\u00e0 <strong>OpenRouter<\/strong> (danh m\u1ee5c, ng\u1eef c\u1ea3nh, \u0111a ph\u01b0\u01a1ng th\u1ee9c, gi\u00e1 tr\u1ef1c ti\u1ebfp). M\u1ed7i ch\u1ec9 s\u1ed1 c\u00f3 ch\u1ea5m m\u00e0u th\u1ec3 hi\u1ec7n ngu\u1ed3n. Ph\u01b0\u01a1ng ph\u00e1p \u0111\u1ea7y \u0111\u1ee7 \u1edf <a href=\"https:\/\/airank.datacore.vn\/methodology\" target=\"_blank\" rel=\"noopener\">trang ph\u01b0\u01a1ng ph\u00e1p<\/a>. Kh\u00f4ng benchmark n\u00e0o b\u1ecb b\u1ecba ra.<\/p>\n<h2>T\u1ea1i sao \u0111i\u1ec1u n\u00e0y quan tr\u1ecdng v\u1edbi Vi\u1ec7t Nam?<\/h2>\n<p>V\u1edbi c\u00e1c \u0111\u1ed9i nh\u00f3m Vi\u1ec7t Nam \u0111ang x\u00e2y d\u1ef1ng b\u1eb1ng AI, c\u00e2u h\u1ecfi th\u1ef1c s\u1ef1 hi\u1ebfm khi l\u00e0 \"m\u00f4 h\u00ecnh n\u00e0o th\u00f4ng minh nh\u1ea5t v\u1ec1 l\u00fd thuy\u1ebft\" m\u00e0 l\u00e0 \"m\u00f4 h\u00ecnh n\u00e0o mang l\u1ea1i n\u0103ng l\u1ef1c t\u00f4i c\u1ea7n v\u1edbi chi ph\u00ed t\u00f4i c\u00f3 th\u1ec3 b\u1ea3o v\u1ec7 \u0111\u01b0\u1ee3c\". M\u1ed9t b\u1ea3ng x\u1ebfp h\u1ea1ng tr\u1ef1c ti\u1ebfp, ghi ngu\u1ed3n r\u00f5 r\u00e0ng cho ph\u00e9p so s\u00e1nh m\u1ed9t m\u00f4 h\u00ecnh tuy\u1ebfn \u0111\u1ea7u v\u1edbi m\u1ed9t l\u1ef1a ch\u1ecdn m\u00e3 ngu\u1ed3n m\u1edf r\u1ebb h\u01a1n tr\u01b0\u1edbc khi cam k\u1ebft ng\u00e2n s\u00e1ch. Ch\u00ednh k\u1ef7 lu\u1eadt \u0111\u00f3 l\u00e0 \u0111i\u1ec1u DataCore mang l\u1ea1i cho d\u1eef li\u1ec7u th\u1ecb tr\u01b0\u1eddng Vi\u1ec7t Nam qua s\u00e1u mi\u1ec1n d\u1eef li\u1ec7u c\u00f3 c\u1ea5u tr\u00fac: T\u1ed5 ch\u1ee9c, Th\u1ecb tr\u01b0\u1eddng, Kinh t\u1ebf, Con ng\u01b0\u1eddi, V\u1ecb tr\u00ed v\u00e0 Truy\u1ec1n th\u00f4ng. Kh\u00e1m ph\u00e1 n\u1ec1n t\u1ea3ng d\u1eef li\u1ec7u t\u1ea1i <a href=\"https:\/\/datacore.vn\/vi\" target=\"_blank\" rel=\"noopener\">datacore.vn<\/a>.<\/p>\n<div style=\"background:#0a0e1a;color:#fff;padding:24px;border-radius:12px;margin:28px 0;text-align:center;\">\n<p style=\"font-size:1.15em;margin:0 0 12px;\"><strong>Xem b\u1ea3ng x\u1ebfp h\u1ea1ng tr\u1ef1c ti\u1ebfp c\u1ee7a c\u1ea3 527 m\u00f4 h\u00ecnh AI.<\/strong><\/p>\n<p style=\"margin:0;\"><a href=\"https:\/\/airank.datacore.vn\" style=\"color:#5eb0ff;font-weight:bold;\" target=\"_blank\" rel=\"noopener\">airank.datacore.vn<\/a>, tr\u00ed tu\u1ec7, l\u1eadp tr\u00ecnh, to\u00e1n, t\u1ed1c \u0111\u1ed9 v\u00e0 chi ph\u00ed, c\u1eadp nh\u1eadt theo th\u1eddi gian th\u1ef1c.<\/p>\n<\/div>\n<h2>C\u00e2u h\u1ecfi th\u01b0\u1eddng g\u1eb7p<\/h2>\n<h3>M\u00f4 h\u00ecnh AI t\u1ed1t nh\u1ea5t hi\u1ec7n nay l\u00e0 g\u00ec?<\/h3>\n<p>Theo \u0111i\u1ec3m t\u1ed5ng h\u1ee3p c\u1ee7a DataCore, Claude Fable 5 (Anthropic) hi\u1ec7n d\u1eabn \u0111\u1ea7u v\u1edbi 63,9, v\u01b0\u1ee3t GPT-5.5 (59,8) v\u00e0 Claude Opus 4.8 (59,7), t\u00ednh \u0111\u1ebfn 14\/06\/2026. Th\u1ee9 h\u1ea1ng c\u1eadp nh\u1eadt li\u00ean t\u1ee5c t\u1ea1i <a href=\"https:\/\/airank.datacore.vn\" target=\"_blank\" rel=\"noopener\">airank.datacore.vn<\/a>.<\/p>\n<h3>Claude Fable 5 c\u00f3 mi\u1ec5n ph\u00ed kh\u00f4ng?<\/h3>\n<p>Mi\u1ec5n ph\u00ed cho c\u00e1c g\u00f3i Pro, Max, Team v\u00e0 Enterprise \u0111\u1ebfn h\u1ebft 22\/06\/2026. T\u1eeb 23\/06\/2026, gi\u00e1 l\u00e0 10 USD m\u1ed7i 1 tri\u1ec7u token \u0111\u1ea7u v\u00e0o v\u00e0 50 USD m\u1ed7i 1 tri\u1ec7u token \u0111\u1ea7u ra (ngu\u1ed3n: Anthropic).<\/p>\n<h3>M\u00f4 h\u00ecnh AI n\u00e0o r\u1ebb nh\u1ea5t?<\/h3>\n<p>Trong nh\u00f3m tuy\u1ebfn \u0111\u1ea7u, Claude Opus 4.8 thu\u1ed9c lo\u1ea1i r\u1ebb nh\u1ea5t v\u1edbi kho\u1ea3ng 10 USD m\u1ed7i 1 tri\u1ec7u token \u0111\u1ea7u ra.<\/p>\n<h3>LLM nhanh nh\u1ea5t l\u00e0 g\u00ec?<\/h3>\n<p>Mercury 2 \u0111\u1ea1t t\u1ed1c \u0111\u1ed9 \u0111\u1ea7u ra cao nh\u1ea5t v\u1edbi kho\u1ea3ng 947 token m\u1ed7i gi\u00e2y.<\/p>\n<h3>D\u1eef li\u1ec7u b\u1ea3ng x\u1ebfp h\u1ea1ng \u0111\u1ebfn t\u1eeb \u0111\u00e2u?<\/h3>\n<p>T\u1eeb Artificial Analysis, METR, OpenRouter v\u00e0 Aider Polyglot, l\u00e0m m\u1edbi kho\u1ea3ng 10 ph\u00fat m\u1ed9t l\u1ea7n. Chi ti\u1ebft \u1edf <a href=\"https:\/\/airank.datacore.vn\/methodology\" target=\"_blank\" rel=\"noopener\">trang phuong phap<\/a>.<\/p>\n<p><script type=\"application\/ld+json\">{\"@context\":\"https:\/\/schema.org\",\"@type\":\"NewsArticle\",\"headline\":\"Claude Fable 5 \u0111\u00e3 ra m\u1eaft: C\u00f3 th\u1ef1c s\u1ef1 l\u00e0 m\u00f4 h\u00ecnh AI t\u1ed1t nh\u1ea5t?\",\"datePublished\":\"2026-06-14\",\"dateModified\":\"2026-06-14\",\"author\":{\"@type\":\"Organization\",\"name\":\"DataCore\"},\"publisher\":{\"@type\":\"Organization\",\"name\":\"DataCore\"},\"inLanguage\":\"vi\"}<\/script><br \/>\n<script type=\"application\/ld+json\">{\"@context\":\"https:\/\/schema.org\",\"@type\":\"FAQPage\",\"mainEntity\":[{\"@type\":\"Question\",\"name\":\"M\u00f4 h\u00ecnh AI t\u1ed1t nh\u1ea5t hi\u1ec7n nay l\u00e0 g\u00ec?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Theo \u0111i\u1ec3m t\u1ed5ng h\u1ee3p c\u1ee7a DataCore, Claude Fable 5 d\u1eabn \u0111\u1ea7u v\u1edbi 63,9, v\u01b0\u1ee3t GPT-5.5 (59,8) v\u00e0 Claude Opus 4.8 (59,7), t\u00ednh \u0111\u1ebfn 14\/06\/2026.\"}},{\"@type\":\"Question\",\"name\":\"Claude Fable 5 c\u00f3 mi\u1ec5n ph\u00ed kh\u00f4ng?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Mi\u1ec5n ph\u00ed \u0111\u1ebfn h\u1ebft 22\/06\/2026, sau \u0111\u00f3 10 USD m\u1ed7i 1 tri\u1ec7u token \u0111\u1ea7u v\u00e0o v\u00e0 50 USD m\u1ed7i 1 tri\u1ec7u token \u0111\u1ea7u ra.\"}},{\"@type\":\"Question\",\"name\":\"M\u00f4 h\u00ecnh AI n\u00e0o r\u1ebb nh\u1ea5t?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Trong nh\u00f3m tuy\u1ebfn \u0111\u1ea7u, Claude Opus 4.8 kho\u1ea3ng 10 USD m\u1ed7i 1 tri\u1ec7u token \u0111\u1ea7u ra.\"}},{\"@type\":\"Question\",\"name\":\"LLM nhanh nh\u1ea5t l\u00e0 g\u00ec?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Mercury 2 \u0111\u1ea1t kho\u1ea3ng 947 token m\u1ed7i gi\u00e2y.\"}},{\"@type\":\"Question\",\"name\":\"D\u1eef li\u1ec7u b\u1ea3ng x\u1ebfp h\u1ea1ng \u0111\u1ebfn t\u1eeb \u0111\u00e2u?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"T\u1eeb Artificial Analysis, METR, OpenRouter v\u00e0 Aider Polyglot.\"}}]}<\/script><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Anthropic v\u1eeba ra m\u1eaft Claude Fable 5. N\u00f3 c\u00f3 th\u1ef1c s\u1ef1 l\u00e0 m\u00f4 h\u00ecnh AI t\u1ed1t nh\u1ea5t? Ki\u1ec3m tra tr\u00ean b\u1ea3ng x\u1ebfp h\u1ea1ng AI tr\u1ef1c ti\u1ebfp c\u1ee7a DataCore v\u1edbi 527 m\u00f4 h\u00ecnh.<\/p>","protected":false},"author":19,"featured_media":1497,"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":[560,662,735,671],"class_list":["post-1543","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-mo-hinh-ai-vi"],"uagb_featured_image_src":{"full":["https:\/\/blog.datacore.vn\/wp-content\/uploads\/2026\/06\/ai-scale-overview.png",1280,800,false],"thumbnail":["https:\/\/blog.datacore.vn\/wp-content\/uploads\/2026\/06\/ai-scale-overview-150x150.png",150,150,true],"medium":["https:\/\/blog.datacore.vn\/wp-content\/uploads\/2026\/06\/ai-scale-overview-300x188.png",300,188,true],"medium_large":["https:\/\/blog.datacore.vn\/wp-content\/uploads\/2026\/06\/ai-scale-overview-768x480.png",768,480,true],"large":["https:\/\/blog.datacore.vn\/wp-content\/uploads\/2026\/06\/ai-scale-overview-1024x640.png",1024,640,true],"1536x1536":["https:\/\/blog.datacore.vn\/wp-content\/uploads\/2026\/06\/ai-scale-overview.png",1280,800,false],"2048x2048":["https:\/\/blog.datacore.vn\/wp-content\/uploads\/2026\/06\/ai-scale-overview.png",1280,800,false],"trp-custom-language-flag":["https:\/\/blog.datacore.vn\/wp-content\/uploads\/2026\/06\/ai-scale-overview-18x12.png",18,12,true]},"uagb_author_info":{"display_name":"DataCore Marketing","author_link":"https:\/\/blog.datacore.vn\/vi\/author\/datacore_marketing\/"},"uagb_comment_info":0,"uagb_excerpt":"Anthropic v\u1eeba ra m\u1eaft Claude Fable 5. N\u00f3 c\u00f3 th\u1ef1c s\u1ef1 l\u00e0 m\u00f4 h\u00ecnh AI t\u1ed1t nh\u1ea5t? Ki\u1ec3m tra tr\u00ean b\u1ea3ng x\u1ebfp h\u1ea1ng AI tr\u1ef1c ti\u1ebfp c\u1ee7a DataCore v\u1edbi 527 m\u00f4 h\u00ecnh.","_links":{"self":[{"href":"https:\/\/blog.datacore.vn\/vi\/wp-json\/wp\/v2\/posts\/1543","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=1543"}],"version-history":[{"count":2,"href":"https:\/\/blog.datacore.vn\/vi\/wp-json\/wp\/v2\/posts\/1543\/revisions"}],"predecessor-version":[{"id":1667,"href":"https:\/\/blog.datacore.vn\/vi\/wp-json\/wp\/v2\/posts\/1543\/revisions\/1667"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/blog.datacore.vn\/vi\/wp-json\/wp\/v2\/media\/1497"}],"wp:attachment":[{"href":"https:\/\/blog.datacore.vn\/vi\/wp-json\/wp\/v2\/media?parent=1543"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blog.datacore.vn\/vi\/wp-json\/wp\/v2\/categories?post=1543"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blog.datacore.vn\/vi\/wp-json\/wp\/v2\/tags?post=1543"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}