{"id":126132,"date":"2026-06-25T14:52:39","date_gmt":"2026-06-25T07:52:39","guid":{"rendered":"https:\/\/tino.vn\/blog\/?p=126132"},"modified":"2026-06-25T14:53:32","modified_gmt":"2026-06-25T07:53:32","slug":"so-sanh-cac-ai-model-theo-benchmark","status":"publish","type":"post","link":"https:\/\/tino.vn\/blog\/so-sanh-cac-ai-model-theo-benchmark\/","title":{"rendered":"B\u1ea3ng so s\u00e1nh c\u00e1c AI model theo benchmark 2026: Model n\u00e0o \u0111ang m\u1ea1nh nh\u1ea5t?"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\"><strong>Th\u1ecb tr\u01b0\u1eddng AI \u0111ang thay \u0111\u1ed5i r\u1ea5t nhanh. M\u1ed7i v\u00e0i tu\u1ea7n, ng\u01b0\u1eddi d\u00f9ng l\u1ea1i th\u1ea5y m\u1ed9t model m\u1edbi xu\u1ea5t hi\u1ec7n v\u1edbi l\u1eddi gi\u1edbi thi\u1ec7u m\u1ea1nh h\u01a1n, nhanh h\u01a1n ho\u1eb7c r\u1ebb h\u01a1n. Tuy nhi\u00ean, khi c\u1ea7n ch\u1ecdn AI model v\u1edbi nhu c\u1ea7u c\u00f4ng vi\u1ec7c, c\u1ea3m t\u00ednh th\u00f4i ch\u01b0a \u0111\u1ee7. \u0110\u00f3 l\u00e0 l\u00fd do b\u1ea3ng benchmark AI model ng\u00e0y c\u00e0ng quan tr\u1ecdng. D\u01b0\u1edbi \u0111\u00e2y l\u00e0 b\u1ea3ng so s\u00e1nh c\u00e1c AI model theo benchmark \u0111\u1ec3 gi\u00fap b\u1ea1n t\u00ecm \u0111\u01b0\u1ee3c model ph\u00f9 h\u1ee3p v\u1edbi m\u00ecnh.<\/strong><\/p>\n\n\n\n<h2 id=\"\u0110\u00f4i_n\u00e9t_v\u1ec1_Benchmark_AI_model\"><strong>\u0110\u00f4i n\u00e9t v\u1ec1 Benchmark AI model<\/strong><\/h2>\n\n\n\n<h3 id=\"Benchmark_AI_model_l\u00e0_g\u00ec?\"><strong>Benchmark AI model l\u00e0 g\u00ec?<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Benchmark AI model l\u00e0 ph\u01b0\u01a1ng ph\u00e1p \u0111\u00e1nh gi\u00e1 n\u0103ng l\u1ef1c c\u1ee7a c\u00e1c m\u00f4 h\u00ecnh tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o th\u00f4ng qua b\u1ed9 c\u00e2u h\u1ecfi, b\u00e0i ki\u1ec3m tra ho\u1eb7c t\u00e1c v\u1ee5 ti\u00eau chu\u1ea9n. Thay v\u00ec ch\u1ec9 nghe nh\u00e0 cung c\u1ea5p qu\u1ea3ng b\u00e1, ng\u01b0\u1eddi d\u00f9ng c\u00f3 th\u1ec3 nh\u00ecn v\u00e0o \u0111i\u1ec3m benchmark \u0111\u1ec3 hi\u1ec3u model m\u1ea1nh \u1edf \u0111\u00e2u, y\u1ebfu \u1edf \u0111\u00e2u v\u00e0 ph\u00f9 h\u1ee3p v\u1edbi c\u00f4ng vi\u1ec7c n\u00e0o.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">V\u00ed d\u1ee5, m\u1ed9t model c\u00f3 th\u1ec3 \u0111\u1ea1t \u0111i\u1ec3m r\u1ea5t cao trong b\u00e0i ki\u1ec3m tra to\u00e1n h\u1ecdc, nh\u01b0ng ch\u01b0a ch\u1eafc ph\u1ea3n h\u1ed3i t\u1ef1 nhi\u00ean khi vi\u1ebft n\u1ed9i dung marketing. M\u1ed9t model kh\u00e1c c\u00f3 th\u1ec3 vi\u1ebft code t\u1ed1t, nh\u01b0ng chi ph\u00ed API cao ho\u1eb7c t\u1ed1c \u0111\u1ed9 ph\u1ea3n h\u1ed3i ch\u1eadm. V\u00ec v\u1eady, benchmark kh\u00f4ng ch\u1ec9 l\u00e0 b\u1ea3ng \u0111i\u1ec3m, m\u00e0 c\u00f2n l\u00e0 c\u00f4ng c\u1ee5 gi\u00fap ch\u1ecdn model theo m\u1ee5c ti\u00eau s\u1eed d\u1ee5ng.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img decoding=\"async\" width=\"700\" height=\"375\" src=\"https:\/\/tino.vn\/blog\/wp-content\/uploads\/2026\/06\/so-sanh-cac-ai-model-theo-benchmark-1.png\" alt=\"Benchmark AI model l\u00e0 g\u00ec?\" class=\"wp-image-126142\" title=\"\" srcset=\"https:\/\/tino.vn\/blog\/wp-content\/uploads\/2026\/06\/so-sanh-cac-ai-model-theo-benchmark-1.png 700w, https:\/\/tino.vn\/blog\/wp-content\/uploads\/2026\/06\/so-sanh-cac-ai-model-theo-benchmark-1-300x161.png 300w\" sizes=\"(max-width: 700px) 100vw, 700px\" \/><figcaption class=\"wp-element-caption\"><strong>Benchmark AI model l\u00e0 g\u00ec?<\/strong><\/figcaption><\/figure>\n<\/div>\n\n\n<p class=\"wp-block-paragraph\">Trong th\u1ef1c t\u1ebf, benchmark AI th\u01b0\u1eddng \u0111o c\u00e1c nh\u00f3m n\u0103ng l\u1ef1c sau:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Kh\u1ea3 n\u0103ng suy lu\u1eadn logic<\/li>\n\n\n\n<li>Ki\u1ebfn th\u1ee9c t\u1ed5ng qu\u00e1t<\/li>\n\n\n\n<li>Kh\u1ea3 n\u0103ng vi\u1ebft v\u00e0 s\u1eeda code<\/li>\n\n\n\n<li>Kh\u1ea3 n\u0103ng x\u1eed l\u00fd ng\u00f4n ng\u1eef t\u1ef1 nhi\u00ean<\/li>\n\n\n\n<li>Kh\u1ea3 n\u0103ng l\u00e0m theo h\u01b0\u1edbng d\u1eabn<\/li>\n\n\n\n<li>Kh\u1ea3 n\u0103ng x\u1eed l\u00fd t\u00e0i li\u1ec7u d\u00e0i<\/li>\n\n\n\n<li>Kh\u1ea3 n\u0103ng tr\u1ea3 l\u1eddi b\u1eb1ng ti\u1ebfng Vi\u1ec7t<\/li>\n\n\n\n<li>T\u1ed1c \u0111\u1ed9 ph\u1ea3n h\u1ed3i<\/li>\n\n\n\n<li>Chi ph\u00ed API<\/li>\n\n\n\n<li>\u0110\u1ed9 \u1ed5n \u0111\u1ecbnh khi t\u00edch h\u1ee3p v\u00e0o s\u1ea3n ph\u1ea9m<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">V\u1edbi ng\u01b0\u1eddi d\u00f9ng ph\u1ed5 th\u00f4ng, benchmark gi\u00fap tr\u1ea3 l\u1eddi c\u00e2u h\u1ecfi: \u201cModel n\u00e0o ph\u00f9 h\u1ee3p nh\u1ea5t v\u1edbi nhu c\u1ea7u c\u1ee7a t\u00f4i?\u201d. V\u1edbi l\u1eadp tr\u00ecnh vi\u00ean v\u00e0 doanh nghi\u1ec7p, benchmark gi\u00fap tr\u1ea3 l\u1eddi c\u00e2u h\u1ecfi quan tr\u1ecdng h\u01a1n: \u201cModel n\u00e0o \u0111em l\u1ea1i hi\u1ec7u qu\u1ea3 t\u1ed1t nh\u1ea5t so v\u1edbi chi ph\u00ed v\u1eadn h\u00e0nh?\u201d.<\/p>\n\n\n\n<h3 id=\"M\u1ed9t_s\u1ed1_ngu\u1ed3n_benchmark_uy_t\u00edn_n\u00ean_tham_kh\u1ea3o\"><strong>M\u1ed9t s\u1ed1 ngu\u1ed3n benchmark uy t\u00edn n\u00ean tham kh\u1ea3o<\/strong><\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/artificialanalysis.ai\/\" target=\"_blank\" rel=\"noreferrer noopener nofollow\"><strong>Artificial Analysis<\/strong><\/a><strong>:<\/strong> Theo d\u00f5i h\u01a1n 100 model, c\u00f3 Intelligence Index, t\u1ed1c \u0111\u1ed9, \u0111\u1ed9 tr\u1ec5, gi\u00e1, context window v\u00e0 nhi\u1ec1u ch\u1ec9 s\u1ed1 tri\u1ec3n khai th\u1ef1c t\u1ebf. \u0110\u00e2y l\u00e0 ngu\u1ed3n r\u1ea5t h\u1eefu \u00edch khi c\u1ea7n ch\u1ecdn model cho s\u1ea3n ph\u1ea9m ho\u1eb7c workflow doanh nghi\u1ec7p.<\/li>\n\n\n\n<li><a href=\"https:\/\/www.swebench.com\/\" target=\"_blank\" rel=\"noreferrer noopener nofollow\"><strong>SWE-bench<\/strong><\/a><strong>:<\/strong> Benchmark l\u1eadp tr\u00ecnh n\u1ed5i ti\u1ebfng, g\u1ed3m 500 issue GitHub \u0111\u00e3 \u0111\u01b0\u1ee3c con ng\u01b0\u1eddi l\u1ecdc l\u1ea1i \u0111\u1ec3 \u0111\u1ea3m b\u1ea3o \u0111\u1ec1 r\u00f5, test \u0111\u00fang v\u00e0 b\u00e0i c\u00f3 th\u1ec3 gi\u1ea3i \u0111\u01b0\u1ee3c.<\/li>\n\n\n\n<li><a href=\"https:\/\/www.vellum.ai\/llm-leaderboard\" target=\"_blank\" rel=\"noreferrer noopener nofollow\"><strong>Vellum LLM Leaderboard<\/strong><\/a><strong>: <\/strong>T\u1ed5ng h\u1ee3p nhi\u1ec1u benchmark m\u1edbi, \u01b0u ti\u00ean c\u00e1c b\u00e0i ki\u1ec3m tra ch\u01b0a b\u1ecb b\u00e3o h\u00f2a nh\u01b0 GPQA Diamond, AIME, SWE-bench, Humanity\u2019s Last Exam, ARC-AGI.<\/li>\n\n\n\n<li><a href=\"https:\/\/www.vals.ai\/benchmarks\" target=\"_blank\" rel=\"noreferrer noopener nofollow\"><strong>Vals AI<\/strong><\/a><strong>: <\/strong>Cung c\u1ea5p b\u1ea3ng \u0111\u00e1nh gi\u00e1 MMMU Pro m\u1edbi, c\u00f3 accuracy, sai s\u1ed1, latency v\u00e0 chi ph\u00ed theo model.<\/li>\n\n\n\n<li><a href=\"https:\/\/benchlm.ai\/\" target=\"_blank\" rel=\"noreferrer noopener nofollow\"><strong>BenchLM <\/strong><\/a><strong>&amp; <\/strong><a href=\"https:\/\/llm-stats.com\/\" target=\"_blank\" rel=\"noreferrer noopener nofollow\"><strong>LLM Stats<\/strong><\/a><strong>:<\/strong> C\u00f3 nhi\u1ec1u b\u1ea3ng theo t\u1eebng n\u0103ng l\u1ef1c nh\u01b0 long context, reasoning, gi\u00e1, t\u1ed1c \u0111\u1ed9 v\u00e0 benchmark chuy\u00ean bi\u1ec7t.<\/li>\n\n\n\n<li><a href=\"https:\/\/arena.ai\/\" target=\"_blank\" rel=\"noreferrer noopener nofollow\"><strong>LMArena<\/strong><\/a><strong>:<\/strong> X\u1ebfp h\u1ea1ng theo so s\u00e1nh \u1ea9n danh v\u00e0 b\u00ecnh ch\u1ecdn c\u1ee7a ng\u01b0\u1eddi d\u00f9ng th\u1eadt. T\u1ed1t \u0111\u1ec3 xem ch\u1ea5t l\u01b0\u1ee3ng h\u1ed9i tho\u1ea1i v\u00e0 c\u1ea3m nh\u1eadn th\u1ef1c t\u1ebf.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>L\u1eddi khuy\u00ean:<\/strong> Kh\u00f4ng n\u00ean ch\u1ec9 xem m\u1ed9t ngu\u1ed3n duy nh\u1ea5t. M\u1ed7i n\u1ec1n t\u1ea3ng c\u00f3 ph\u01b0\u01a1ng ph\u00e1p \u0111\u00e1nh gi\u00e1 kh\u00e1c nhau v\u00e0 cho ra th\u1ee9 h\u1ea1ng kh\u00e1c nhau. Tham kh\u1ea3o \u00edt nh\u1ea5t hai ngu\u1ed3n tr\u01b0\u1edbc khi \u0111\u01b0a ra quy\u1ebft \u0111\u1ecbnh ch\u1ecdn model cho d\u1ef1 \u00e1n th\u1ef1c t\u1ebf.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img decoding=\"async\" width=\"700\" height=\"375\" src=\"https:\/\/tino.vn\/blog\/wp-content\/uploads\/2026\/06\/so-sanh-cac-ai-model-theo-benchmark-2.png\" alt=\"M\u1ed9t s\u1ed1 ngu\u1ed3n benchmark uy t\u00edn n\u00ean tham kh\u1ea3o\" class=\"wp-image-126143\" title=\"\" srcset=\"https:\/\/tino.vn\/blog\/wp-content\/uploads\/2026\/06\/so-sanh-cac-ai-model-theo-benchmark-2.png 700w, https:\/\/tino.vn\/blog\/wp-content\/uploads\/2026\/06\/so-sanh-cac-ai-model-theo-benchmark-2-300x161.png 300w\" sizes=\"(max-width: 700px) 100vw, 700px\" \/><figcaption class=\"wp-element-caption\"><strong>M\u1ed9t s\u1ed1 ngu\u1ed3n benchmark uy t\u00edn n\u00ean tham kh\u1ea3o<\/strong><\/figcaption><\/figure>\n<\/div>\n\n\n<h3 id=\"Nh\u1eefng_b\u00e0i_ki\u1ec3m_tra_benchmark_quan_tr\u1ecdng\"><a id=\"post-126132-Nh\u1eefng b\u00e0i ki\u1ec3m tra benchmark quan tr\u1ecdng\"><\/a><strong>Nh\u1eefng b\u00e0i ki\u1ec3m tra benchmark quan tr\u1ecdng<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">D\u01b0\u1edbi \u0111\u00e2y l\u00e0 c\u00e1c benchmark th\u1ef1c s\u1ef1 c\u00f3 gi\u00e1 tr\u1ecb khi so s\u00e1nh c\u00e1c model AI:<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><td><p><strong>Benchmark<\/strong>\n<\/p><\/td><td><p><strong>\u0110o n\u0103ng l\u1ef1c g\u00ec?<\/strong>\n<\/p><\/td><td><p><strong>V\u00ec sao quan tr\u1ecdng?<\/strong>\n<\/p><\/td><td><p><strong>N\u00ean d\u00f9ng khi ch\u1ecdn model cho<\/strong>\n<\/p><\/td><\/tr><tr><td><p>\n  Artificial Analysis Intelligence Index\n<\/p><\/td><td><p>\n  \u0110i\u1ec3m t\u1ed5ng h\u1ee3p v\u1ec1 agent, coding, n\u0103ng l\u1ef1c chung v\u00e0 scientific reasoning.\n<\/p><\/td><td><p>\n  Gi\u1ea3m r\u1ee7i ro nh\u00ecn m\u1ed9t benchmark \u0111\u01a1n l\u1ebb. C\u00f3 th\u00eam gi\u00e1, t\u1ed1c \u0111\u1ed9, \u0111\u1ed9 tr\u1ec5, context.\n<\/p><\/td><td><p>\n  Ch\u1ecdn model t\u1ed5ng qu\u00e1t cho doanh nghi\u1ec7p, tr\u1ee3 l\u00fd AI, t\u00e1c v\u1ee5 ph\u1ee9c t\u1ea1p.\n<\/p><\/td><\/tr><tr><td><p>\n  SWE-bench Verified\n<\/p><\/td><td><p>\n  Kh\u1ea3 n\u0103ng s\u1eeda issue th\u1eadt trong c\u00e1c repo GitHub th\u1eadt.\n<\/p><\/td><td><p>\n  \u0110o coding agent th\u1ef1c t\u1ebf h\u01a1n HumanEval hay b\u00e0i code ng\u1eafn.\n<\/p><\/td><td><p>\n  \u0110\u1ed9i dev, review code, s\u1eeda bug, refactor, t\u1ef1 \u0111\u1ed9ng h\u00f3a k\u1ef9 thu\u1eadt.\n<\/p><\/td><\/tr><tr><td><p>\n  Humanity\u2019s Last Exam\n<\/p><\/td><td><p>\n  C\u00e2u h\u1ecfi c\u1ef1c kh\u00f3, \u0111a ng\u00e0nh, y\u00eau c\u1ea7u reasoning s\u00e2u.\n<\/p><\/td><td><p>\n  Ph\u00f9 h\u1ee3p \u0111\u1ec3 ph\u00e2n bi\u1ec7t nh\u00f3m frontier model khi benchmark c\u0169 \u0111\u00e3 b\u00e3o h\u00f2a.\n<\/p><\/td><td><p>\n  Nghi\u00ean c\u1ee9u, ph\u00e2n t\u00edch chi\u1ebfn l\u01b0\u1ee3c, b\u00e0i to\u00e1n kh\u00f3, t\u01b0 v\u1ea5n chuy\u00ean s\u00e2u.\n<\/p><\/td><\/tr><tr><td><p>\n  GPQA Diamond\n<\/p><\/td><td><p>\n  Khoa h\u1ecdc tr\u00ecnh \u0111\u1ed9 cao, g\u1ed3m v\u1eadt l\u00fd, h\u00f3a h\u1ecdc, sinh h\u1ecdc.\n<\/p><\/td><td><p>\n  Ki\u1ec3m tra reasoning khoa h\u1ecdc thay v\u00ec ch\u1ec9 nh\u1edb ki\u1ebfn th\u1ee9c.\n<\/p><\/td><td><p>\n  R&amp;D, ph\u00e2n t\u00edch t\u00e0i li\u1ec7u k\u1ef9 thu\u1eadt, gi\u00e1o d\u1ee5c n\u00e2ng cao.\n<\/p><\/td><\/tr><tr><td><p>\n  AIME\n<\/p><\/td><td><p>\n  To\u00e1n nhi\u1ec1u b\u01b0\u1edbc, b\u00e0i kh\u00f3 ki\u1ec3u thi h\u1ecdc sinh gi\u1ecfi.\n<\/p><\/td><td><p>\n  D\u1ec5 th\u1ea5y n\u0103ng l\u1ef1c suy lu\u1eadn to\u00e1n, nh\u01b0ng top model \u0111ang g\u1ea7n b\u00e3o h\u00f2a.\n<\/p><\/td><td><p>\n  To\u00e1n, t\u00e0i ch\u00ednh \u0111\u1ecbnh l\u01b0\u1ee3ng, b\u00e0i logic c\u00f3 \u0111\u00e1p \u00e1n r\u00f5.\n<\/p><\/td><\/tr><tr><td><p><br>  MMMU-Pro<br><\/p><\/td><td><p><br>  Hi\u1ec3u h\u00ecnh \u1ea3nh + ch\u1eef trong c\u00e2u h\u1ecfi h\u1ecdc thu\u1eadt \u0111a ng\u00e0nh.<br><\/p><\/td><td><p><br>  \u0110\u00e1nh gi\u00e1 multimodal th\u1ef1c t\u1ebf h\u01a1n v\u00ec lo\u1ea1i b\u1ecf nhi\u1ec1u \u0111\u01b0\u1eddng t\u1eaft.<br><\/p><\/td><td><p><br>  \u0110\u1ecdc slide, \u1ea3nh, bi\u1ec3u \u0111\u1ed3, t\u00e0i li\u1ec7u scan, b\u00e0i to\u00e1n c\u00f3 h\u00ecnh.<br><\/p><\/td><\/tr><tr><td><p><br>  AA-LCR \/ LongBench v2<br><\/p><\/td><td><p><br>  \u0110\u1ecdc v\u00e0 suy lu\u1eadn tr\u00ean t\u00e0i li\u1ec7u d\u00e0i, 10k-100k token ho\u1eb7c h\u01a1n.<br><\/p><\/td><td><p><br>  Context window l\u1edbn kh\u00f4ng \u0111\u1ed3ng ngh\u0129a model d\u00f9ng t\u1ed1t to\u00e0n b\u1ed9 ng\u1eef c\u1ea3nh.<br><\/p><\/td><td><p><br>  H\u1ed3 s\u01a1 ph\u00e1p l\u00fd, b\u00e1o c\u00e1o t\u00e0i ch\u00ednh, t\u00e0i li\u1ec7u d\u1ef1 \u00e1n, knowledge base d\u00e0i.<br><\/p><\/td><\/tr><tr><td><p><br>  LMArena<br><\/p><\/td><td><p><br>  So s\u00e1nh \u1ea9n danh b\u1eb1ng b\u00ecnh ch\u1ecdn ng\u01b0\u1eddi d\u00f9ng th\u1eadt.<br><\/p><\/td><td><p><br>  Cho th\u1ea5y c\u1ea3m nh\u1eadn th\u1ef1c t\u1ebf v\u1ec1 ch\u1ea5t l\u01b0\u1ee3ng tr\u1ea3 l\u1eddi, kh\u00f4ng ch\u1ec9 \u0111i\u1ec3m lab.<br><\/p><\/td><td><p><br>  Chatbot, tr\u1ee3 l\u00fd vi\u1ebft n\u1ed9i dung, tr\u1ea3i nghi\u1ec7m h\u1ed9i tho\u1ea1i.<br><\/p><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>L\u01b0u \u00fd v\u1ec1 \u201cgi\u00e1 tr\u1ecb th\u1ef1c\u201d: <\/strong>c\u00e1c \u0111i\u1ec3m s\u1ed1 d\u01b0\u1edbi \u0111\u00e2y l\u00e0 s\u1ed1 li\u1ec7u \u0111\u01b0\u1ee3c c\u00f4ng b\u1ed1 t\u1ea1i th\u1eddi \u0111i\u1ec3m tra c\u1ee9u t\u1eeb ngu\u1ed3n live\/public. V\u00ec b\u1ea3ng x\u1ebfp h\u1ea1ng AI thay \u0111\u1ed5i r\u1ea5t nhanh, khi xu\u1ea5t b\u1ea3n SEO n\u00ean ghi r\u00f5 ng\u00e0y c\u1eadp nh\u1eadt v\u00e0 ki\u1ec3m tra l\u1ea1i c\u00e1c link ngu\u1ed3n tr\u01b0\u1edbc khi \u0111\u0103ng ch\u00ednh th\u1ee9c.<\/p>\n\n\n\n<h2 id=\"B\u1ea3ng_so_s\u00e1nh_c\u00e1c_model_AI_theo_benchmark\"><a id=\"post-126132-B\u1ea3ng so s\u00e1nh c\u00e1c AI model t\u1ed1t nh\u1ea5t hi\u1ec7n \"><\/a>B\u1ea3ng so s\u00e1nh c\u00e1c model AI theo benchmark<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\"><strong><span style=\"text-decoration: underline;\">L\u01b0u \u00fd quan tr\u1ecdng: <\/span><\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>B\u1ea3ng d\u01b0\u1edbi \u0111\u00e2y kh\u00f4ng n\u00ean hi\u1ec3u l\u00e0 x\u1ebfp h\u1ea1ng tuy\u1ec7t \u0111\u1ed1i. \u0110\u00e2y l\u00e0 b\u1ea3ng tham kh\u1ea3o theo xu h\u01b0\u1edbng benchmark ph\u1ed5 bi\u1ebfn v\u00e0 nhu c\u1ea7u s\u1eed d\u1ee5ng th\u1ef1c t\u1ebf.<\/li>\n\n\n\n<li>D\u1eef li\u1ec7u t\u1ed5ng h\u1ee3p t\u1eeb nhi\u1ec1u ngu\u1ed3n \u0111\u01b0\u1ee3c gi\u1edbi thi\u1ec7u \u1edf tr\u00ean, c\u1eadp nh\u1eadt t\u1ea1i th\u1eddi \u0111i\u1ec3m vi\u1ebft b\u00e0i (th\u00e1ng 6\/2026).<\/li>\n\n\n\n<li>\u0110i\u1ec3m s\u1ed1 c\u00f3 th\u1ec3 thay \u0111\u1ed5i theo th\u1eddi gian v\u00e0 \u0111i\u1ec1u ki\u1ec7n \u0111\u00e1nh gi\u00e1. Xem ngu\u1ed3n g\u1ed1c \u0111\u1ec3 bi\u1ebft \u0111i\u1ec1u ki\u1ec7n c\u1ee5 th\u1ec3.<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><td><p><strong>Nh\u00f3m<\/strong>\n<\/p><\/td><td><p><strong>Model n\u1ed5i b\u1eadt<\/strong>\n<\/p><\/td><td><p><strong>\u0110i\u1ec3m m\u1ea1nh ch\u00ednh<\/strong>\n<\/p><\/td><td><p><strong>Benchmark\/s\u1ed1 li\u1ec7u n\u1ed5i b\u1eadt<\/strong>\n<\/p><\/td><td><p><strong>Ph\u00f9 h\u1ee3p nh\u1ea5t<\/strong>\n<\/p><\/td><td><p><strong>L\u01b0u \u00fd<\/strong>\n<\/p><\/td><\/tr><tr><td><p>\n  T\u1ed5ng qu\u00e1t m\u1ea1nh nh\u1ea5t\n<\/p><\/td><td><p><a href=\"https:\/\/tino.vn\/blog\/claude-fable-5-co-uu-diem-gi-moi\/\" target=\"_blank\" data-type=\"post\" data-id=\"126094\" rel=\"noreferrer noopener\">Claude Fable 5<\/a><\/p><\/td><td><p>\n  Reasoning t\u1ed5ng h\u1ee3p, agentic task, code, khoa h\u1ecdc\n<\/p><\/td><td><p>\n  Artificial Analysis Intelligence Index: #1, \u0111i\u1ec3m 60\n<\/p><\/td><td><p>\n  T\u00e1c v\u1ee5 kh\u00f3, ph\u00e2n t\u00edch, workflow nhi\u1ec1u b\u01b0\u1edbc\n<\/p><\/td><td><p>\n  C\u1ea7n c\u00e2n nh\u1eafc chi ph\u00ed v\u00e0 \u0111\u1ed9 tr\u1ec5\n<\/p><\/td><\/tr><tr><td><p>\n  Frontier reasoning\n<\/p><\/td><td><p>\n  Claude Opus 4.8\n<\/p><\/td><td><p>\n  Suy lu\u1eadn s\u00e2u, khoa h\u1ecdc, l\u1eadp tr\u00ecnh, x\u1eed l\u00fd b\u00e0i kh\u00f3\n<\/p><\/td><td><p>\n  Artificial Analysis: #2, \u0111i\u1ec3m 56;\n<\/p><p>\n  Vellum HLE #2\n<\/p><\/td><td><p>\n  Nghi\u00ean c\u1ee9u, ph\u00e2n t\u00edch t\u00e0i li\u1ec7u, quy\u1ebft \u0111\u1ecbnh ph\u1ee9c t\u1ea1p\n<\/p><\/td><td><p>\n  Kh\u00f4ng ph\u1ea3i l\u1ef1a ch\u1ecdn r\u1ebb nh\u1ea5t\n<\/p><\/td><\/tr><tr><td><p>\n  Reasoning &amp; th\u1ecb gi\u00e1c\n<\/p><\/td><td><p>\n  GPT-5.5\n<\/p><\/td><td><p>\n  L\u00fd lu\u1eadn t\u1ed5ng qu\u00e1t, th\u1ecb gi\u00e1c, b\u00e0i to\u00e1n \u0111a ph\u01b0\u01a1ng th\u1ee9c\n<\/p><\/td><td><p>\n  Artificial Analysis: #3 b\u1ea3n xhigh, \u0111i\u1ec3m 55; Vellum ARC-AGI 2 #1\n<\/p><\/td><td><p>\n  Ph\u00e2n t\u00edch h\u00ecnh \u1ea3nh, t\u00e1c v\u1ee5 logic, tr\u1ee3 l\u00fd \u0111a n\u0103ng\n<\/p><\/td><td><p>\n  B\u1ea3n c\u1ea5u h\u00ecnh cao c\u00f3 th\u1ec3 ch\u1eadm h\u01a1n\n<\/p><\/td><\/tr><tr><td><p>\n  T\u1ed1c \u0111\u1ed9 + n\u0103ng l\u1ef1c\n<\/p><\/td><td><p>\n  Gemini 3.5 Flash\n<\/p><\/td><td><p>\n  Nhanh, context l\u1edbn, multimodal m\u1ea1nh\n<\/p><\/td><td><p>\n  Artificial Analysis: \u0111i\u1ec3m 50, kho\u1ea3ng 188 token\/gi\u00e2y; MMMU-Pro 84% theo AA\n<\/p><\/td><td><p>\n  Chatbot, x\u1eed l\u00fd t\u00e0i li\u1ec7u, s\u1ea3n ph\u1ea9m c\u1ea7n ph\u1ea3n h\u1ed3i nhanh\n<\/p><\/td><td><p>\n  C\u1ea7n test k\u1ef9 v\u1edbi t\u00e1c v\u1ee5 chuy\u00ean ng\u00e0nh\n<\/p><\/td><\/tr><tr><td><p>\n  Hi\u1ec7u n\u0103ng\/ gi\u00e1 t\u1ed1t\n<\/p><\/td><td><p>\n  GLM-5.2 Max\n<\/p><\/td><td><p>\n  \u0110i\u1ec3m cao, t\u1ed1c \u0111\u1ed9 t\u1ed1t, chi ph\u00ed t\u01b0\u01a1ng \u0111\u1ed1i th\u1ea5p\n<\/p><\/td><td><p>\n  Artificial Analysis: \u0111i\u1ec3m 51, blended price kho\u1ea3ng 0.90 USD\/ 1M token\n<\/p><\/td><td><p>\n  Doanh nghi\u1ec7p c\u1ea7n c\u00e2n b\u1eb1ng gi\u00e1 v\u00e0 ch\u1ea5t l\u01b0\u1ee3ng\n<\/p><\/td><td><p>\n  H\u1ec7 sinh th\u00e1i t\u00edch h\u1ee3p t\u00f9y nh\u00e0 cung c\u1ea5p\n<\/p><\/td><\/tr><tr><td><p>\n  Long context\n<\/p><\/td><td><p><br>  Qwen3.7-Plus, Mistral Small 4, <\/p><p><br>  Claude Opus 4.5\/4.8<br><\/p><br><p><\/p><\/td><td><p><br>  D\u00f9ng ng\u1eef c\u1ea3nh d\u00e0i, retrieval, \u0111\u1ecdc t\u00e0i li\u1ec7u l\u1edbn<br><\/p><\/td><td><p><br>  LLM Stats: Qwen3.7-Plus #1 long context; BenchLM: Claude Opus 4.5 LongBench v2 64.4%<br><\/p><\/td><td><p><br>  H\u1ed3 s\u01a1 d\u00e0i, ph\u00e1p l\u00fd, b\u00e1o c\u00e1o, knowledge base<br><\/p><\/td><td><p><br>  Context l\u1edbn ch\u01b0a ch\u1eafc truy xu\u1ea5t t\u1ed1t \u1edf gi\u1eefa t\u00e0i li\u1ec7u<br><\/p><\/td><\/tr><tr><td><p><br>  Multimodal<br><\/p><\/td><td><p><br>  Claude Fable 5,<br><br>  Gemini 3.5 Flash, GPT-5.5<br><\/p><\/td><td><p><br>  Hi\u1ec3u h\u00ecnh \u1ea3nh + ch\u1eef, bi\u1ec3u \u0111\u1ed3, t\u00e0i li\u1ec7u scan<br><\/p><\/td><td><p><br>  Vals MMMU Pro: Claude Fable 5 89.31%, Gemini 3.5 Flash\/<br><br>  GPT-5.5 88.27%<br><\/p><\/td><td><p><br>  \u0110\u1ecdc \u1ea3nh, slide, bi\u1ec3u \u0111\u1ed3, t\u00e0i li\u1ec7u h\u1ecdc thu\u1eadt c\u00f3 h\u00ecnh<br><\/p><\/td><td><p><br>  Latency c\u1ee7a reasoning model th\u01b0\u1eddng cao<br><\/p><\/td><\/tr><tr><td><p><br>  Coding m\u1ea1nh<br><\/p><\/td><td><p>Claude Sonnet 4.6, Claude Fable\/<br><br>  Mythos\/Opus<\/p><\/td><td><p><br>  Vi\u1ebft code, debug, refactor, l\u00e0m vi\u1ec7c theo d\u1ef1 \u00e1n<br><\/p><\/td><td><p><br>  SWE-bench\/Vellum: nh\u00f3m Claude d\u1eabn \u0111\u1ea7u agentic coding<br><\/p><\/td><td><p><br>  \u0110\u1ed9i dev, coding assistant, review code<br><\/p><\/td><td><p><br>  V\u1edbi t\u00e1c v\u1ee5 c\u1ef1c kh\u00f3 n\u00ean d\u00f9ng model frontier<br><\/p><\/td><\/tr><tr><td><p><br>  Model nh\u1ecf\/ chi ph\u00ed th\u1ea5p<br><\/p><\/td><td><p><br>  Gemma, Nova Micro, Qwen nh\u1ecf<br><\/p><\/td><td><p><br>  R\u1ebb, nhanh, \u0111\u1ee7 cho t\u00e1c v\u1ee5 \u0111\u01a1n gi\u1ea3n<br><\/p><\/td><td><p><br>  Artificial Analysis\/Vellum ghi nh\u1eadn nh\u00f3m n\u00e0y c\u00f3 gi\u00e1 r\u1ea5t th\u1ea5p<br><\/p><\/td><td><p><br>  Ph\u00e2n lo\u1ea1i ticket, t\u00f3m t\u1eaft ng\u1eafn, routing, t\u00e1c v\u1ee5 l\u1eb7p<br><\/p><\/td><td><p><br>  Kh\u00f4ng n\u00ean d\u00f9ng cho quy\u1ebft \u0111\u1ecbnh quan tr\u1ecdng n\u1ebfu thi\u1ebfu ki\u1ec3m tra<br><\/p><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h2 id=\"\u0110\u00e1nh_gi\u00e1_model_AI_theo_7_nh\u00f3m_n\u0103ng_l\u1ef1c\"><a id=\"post-126132-\u0110\u00e1nh gi\u00e1 theo 7 nh\u00f3m n\u0103ng l\u1ef1c\"><\/a><strong>\u0110\u00e1nh gi\u00e1 model AI theo 7 nh\u00f3m n\u0103ng l\u1ef1c<\/strong><\/h2>\n\n\n\n<h3 id=\"Model_AI_t\u1ed5ng_qu\u00e1t_t\u1ed1t_nh\u1ea5t\"><a id=\"post-126132-1. Model AI t\u1ed5ng qu\u00e1t t\u1ed1t nh\u1ea5t\"><\/a><strong>Model AI t\u1ed5ng qu\u00e1t t\u1ed1t nh\u1ea5t<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">\n  Theo Artificial Analysis Intelligence Index, nh\u00f3m d\u1eabn \u0111\u1ea7u hi\u1ec7n g\u1ed3m Claude Fable 5, Claude Opus 4.8, GPT-5.5 xhigh, Claude Opus 4.7 v\u00e0 GPT-5.5 high. Ch\u1ec9 s\u1ed1 n\u00e0y \u0111\u00e1ng ch\u00fa \u00fd v\u00ec kh\u00f4ng d\u1ef1a v\u00e0o m\u1ed9t b\u00e0i test \u0111\u01a1n l\u1ebb, m\u00e0 t\u1ed5ng h\u1ee3p nhi\u1ec1u nh\u00f3m benchmark v\u1ec1 agent, coding, general capability v\u00e0 scientific reasoning.\n<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><td><p><strong>H\u1ea1ng<\/strong>\n<\/p><\/td><td><p><strong>Model<\/strong>\n<\/p><\/td><td><p><strong>\u0110i\u1ec3m Intelligence Index<\/strong>\n<\/p><\/td><td><p><strong>Nh\u1eadn x\u00e9t nhanh<\/strong>\n<\/p><\/td><\/tr><tr><td><p>\n  1\n<\/p><\/td><td><p>\n  Claude Fable 5\n<\/p><\/td><td><p>\n  60\n<\/p><\/td><td><p>\n  M\u1ea1nh nh\u1ea5t t\u1ed5ng h\u1ee3p theo Artificial Analysis t\u1ea1i th\u1eddi \u0111i\u1ec3m tra c\u1ee9u\n<\/p><\/td><\/tr><tr><td><p>\n  2\n<\/p><\/td><td><p>\n  Claude Opus 4.8\n<\/p><\/td><td><p>\n  56\n<\/p><\/td><td><p>\n  R\u1ea5t m\u1ea1nh cho reasoning s\u00e2u v\u00e0 t\u00e1c v\u1ee5 kh\u00f3\n<\/p><\/td><\/tr><tr><td><p>\n  3\n<\/p><\/td><td><p>\n  GPT-5.5 xhigh\n<\/p><\/td><td><p>\n  55\n<\/p><\/td><td><p>\n  N\u1ed5i b\u1eadt \u1edf suy lu\u1eadn t\u1ed5ng qu\u00e1t v\u00e0 visual reasoning\n<\/p><\/td><\/tr><tr><td><p>\n  4\n<\/p><\/td><td><p>\n  Claude Opus 4.7\n<\/p><\/td><td><p>\n  54\n<\/p><\/td><td><p>\n  \u1ed4n \u0111\u1ecbnh trong nh\u00f3m frontier model\n<\/p><\/td><\/tr><tr><td><p>\n  5\n<\/p><\/td><td><p>\n  GPT-5.5 high\n<\/p><\/td><td><p>\n  53\n<\/p><\/td><td><p>\n  C\u00e2n b\u1eb1ng h\u01a1n b\u1ea3n xhigh v\u1ec1 \u0111\u1ed9 tr\u1ec5\n<\/p><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h3 id=\"Model_t\u1ed1t_nh\u1ea5t_cho_l\u1eadp_tr\u00ecnh\"><a id=\"post-126132-2. Model t\u1ed1t nh\u1ea5t cho l\u1eadp tr\u00ecnh\"><\/a><strong>Model t\u1ed1t nh\u1ea5t cho l\u1eadp tr\u00ecnh<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">\n  V\u1edbi coding, n\u00ean \u01b0u ti\u00ean SWE-bench Verified v\u00ec benchmark n\u00e0y \u0111o kh\u1ea3 n\u0103ng s\u1eeda l\u1ed7i th\u1eadt trong repo th\u1eadt, kh\u00f4ng ch\u1ec9 vi\u1ebft \u0111o\u1ea1n code ng\u1eafn. Theo Vellum v\u00e0 SWE-bench Verified, nh\u00f3m Claude \u0111ang d\u1eabn r\u1ea5t m\u1ea1nh \u1edf c\u00e1c t\u00e1c v\u1ee5 agentic software engineering.\n<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><td><p><strong>Nh\u00f3m l\u1ef1a ch\u1ecdn<\/strong>\n<\/p><\/td><td><p><strong>Model g\u1ee3i \u00fd<\/strong>\n<\/p><\/td><td><p><strong>L\u00fd do<\/strong>\n<\/p><\/td><\/tr><tr><td><p>\n  M\u1ea1nh nh\u1ea5t cho issue kh\u00f3\n<\/p><\/td><td><p>\n  Claude Mythos 5 \/ Claude Fable 5\n<\/p><\/td><td><p>\n  D\u1eabn \u0111\u1ea7u nh\u00f3m SWE-bench theo b\u1ea3ng t\u1ed5ng h\u1ee3p Vellum\n<\/p><\/td><\/tr><tr><td><p>\n  C\u00e2n b\u1eb1ng coding h\u1eb1ng ng\u00e0y\n<\/p><\/td><td><p>\n  Claude Sonnet 4.6\n<\/p><\/td><td><p>\n  Ph\u00f9 h\u1ee3p code review, refactor, debug, vi\u1ebft test\n<\/p><\/td><\/tr><tr><td><p>\n  Coding + reasoning \u0111a n\u0103ng\n<\/p><\/td><td><p>\n  GPT-5.5\n<\/p><\/td><td><p>\n  T\u1ed1t khi c\u1ea7n th\u00eam ph\u00e2n t\u00edch logic, t\u00e0i li\u1ec7u, h\u00ecnh \u1ea3nh ho\u1eb7c ki\u1ebfn tr\u00fac\n<\/p><\/td><\/tr><tr><td><p>\n  Chi ph\u00ed\/hi\u1ec7u n\u0103ng\n<\/p><\/td><td><p>\n  GLM-5.2 Max, Qwen3.7 Max\n<\/p><\/td><td><p>\n  \u0110\u00e1ng test n\u1ebfu c\u1ea7n ch\u1ea1y nhi\u1ec1u t\u00e1c v\u1ee5 t\u1ef1 \u0111\u1ed9ng\n<\/p><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h3 id=\"Model_t\u1ed1t_nh\u1ea5t_cho_to\u00e1n,_khoa_h\u1ecdc_v\u00e0_reasoning\"><a id=\"post-126132-3. Model t\u1ed1t nh\u1ea5t cho to\u00e1n, khoa h\u1ecdc v\u00e0 \"><\/a><strong>Model t\u1ed1t nh\u1ea5t cho to\u00e1n, khoa h\u1ecdc v\u00e0 reasoning<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">\n  \u1ede nh\u00f3m to\u00e1n v\u00e0 khoa h\u1ecdc, GPQA Diamond, AIME v\u00e0 Humanity\u2019s Last Exam l\u00e0 c\u00e1c benchmark \u0111\u00e1ng ch\u00fa \u00fd. Vellum ghi nh\u1eadn Gemini 3 Pro v\u00e0 GPT 5.2 \u0111\u1ea1t \u0111i\u1ec3m r\u1ea5t cao \u1edf AIME 2025, trong khi Claude Mythos 5, Claude Opus 4.8 v\u00e0 Gemini 3 Pro n\u1ed5i b\u1eadt \u1edf Humanity\u2019s Last Exam.\n<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\n  N\u1ebfu nhu c\u1ea7u l\u00e0 ph\u00e2n t\u00edch h\u1ecdc thu\u1eadt, nghi\u00ean c\u1ee9u, \u0111\u1ecdc t\u00e0i li\u1ec7u k\u1ef9 thu\u1eadt ho\u1eb7c ra quy\u1ebft \u0111\u1ecbnh nhi\u1ec1u b\u01b0\u1edbc, n\u00ean ch\u1ecdn c\u00e1c model frontier nh\u01b0 Claude Fable\/Opus, GPT-5.5 ho\u1eb7c Gemini Pro\/Flash t\u00f9y ng\u00e2n s\u00e1ch v\u00e0 \u0111\u1ed9 tr\u1ec5 ch\u1ea5p nh\u1eadn \u0111\u01b0\u1ee3c.\n<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img decoding=\"async\" width=\"700\" height=\"375\" src=\"https:\/\/tino.vn\/blog\/wp-content\/uploads\/2026\/06\/so-sanh-cac-ai-model-theo-benchmark-3.png\" alt=\"\u0110\u00e1nh gi\u00e1 model AI theo 7 nh\u00f3m n\u0103ng l\u1ef1c\" class=\"wp-image-126144\" title=\"\" srcset=\"https:\/\/tino.vn\/blog\/wp-content\/uploads\/2026\/06\/so-sanh-cac-ai-model-theo-benchmark-3.png 700w, https:\/\/tino.vn\/blog\/wp-content\/uploads\/2026\/06\/so-sanh-cac-ai-model-theo-benchmark-3-300x161.png 300w\" sizes=\"(max-width: 700px) 100vw, 700px\" \/><figcaption class=\"wp-element-caption\"><strong>\u0110\u00e1nh gi\u00e1 model AI theo 7 nh\u00f3m n\u0103ng l\u1ef1c<\/strong><\/figcaption><\/figure>\n<\/div>\n\n\n<h3 id=\"Model_t\u1ed1t_nh\u1ea5t_cho_multimodal:_h\u00ecnh_\u1ea3nh_+_ch\u1eef_+_bi\u1ec3u_\u0111\u1ed3\"><strong>Model t\u1ed1t nh\u1ea5t cho multimodal: h\u00ecnh \u1ea3nh + ch\u1eef + bi\u1ec3u \u0111\u1ed3<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">\n  \u0110\u00e2y l\u00e0 nh\u00f3m \u0111\u00e1nh gi\u00e1 b\u1ed5 sung quan tr\u1ecdng v\u00ec AI n\u0103m 2026 kh\u00f4ng ch\u1ec9 chat b\u1eb1ng ch\u1eef. Doanh nghi\u1ec7p d\u00f9ng AI \u0111\u1ec3 \u0111\u1ecdc \u1ea3nh s\u1ea3n ph\u1ea9m, slide, bi\u1ec3u \u0111\u1ed3, h\u00f3a \u0111\u01a1n, t\u00e0i li\u1ec7u scan, \u1ea3nh l\u1ed7i k\u1ef9 thu\u1eadt v\u00e0 n\u1ed9i dung m\u1ea1ng x\u00e3 h\u1ed9i. MMMU-Pro l\u00e0 benchmark \u0111\u00e1ng ch\u00fa \u00fd v\u00ec ki\u1ec3m tra kh\u1ea3 n\u0103ng k\u1ebft h\u1ee3p h\u00ecnh \u1ea3nh v\u1edbi ch\u1eef \u1edf c\u1ea5p \u0111\u1ed9 h\u1ecdc thu\u1eadt \u0111a ng\u00e0nh.\n<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><td><p><strong>H\u1ea1ng theo Vals MMMU Pro<\/strong>\n<\/p><\/td><td><p><strong>Model<\/strong>\n<\/p><\/td><td><p><strong>Accuracy<\/strong>\n<\/p><\/td><td><p><strong>Chi ph\u00ed input\/output<\/strong>\n<\/p><\/td><td><p><strong>Latency<\/strong>\n<\/p><\/td><\/tr><tr><td><p>\n  1\n<\/p><\/td><td><p>\n  Claude Fable 5\n<\/p><\/td><td><p>\n  89.31% \u00b1 0.74\n<\/p><\/td><td><p>\n  $10 \/ $50\n<\/p><\/td><td><p>\n  61.44s\n<\/p><\/td><\/tr><tr><td><p>\n  2\n<\/p><\/td><td><p>\n  Gemini 3.5 Flash\n<\/p><\/td><td><p>\n  88.27% \u00b1 0.77\n<\/p><\/td><td><p>\n  $1.5 \/ $9\n<\/p><\/td><td><p>\n  12.23s\n<\/p><\/td><\/tr><tr><td><p>\n  3\n<\/p><\/td><td><p>\n  GPT 5.5\n<\/p><\/td><td><p>\n  88.27% \u00b1 0.77\n<\/p><\/td><td><p>\n  $5 \/ $30\n<\/p><\/td><td><p>\n  54.15s\n<\/p><\/td><\/tr><tr><td><p>\n  4\n<\/p><\/td><td><p>\n  Gemini 3.1 Pro Preview\n<\/p><\/td><td><p>\n  88.21% \u00b1 0.78\n<\/p><\/td><td><p>\n  $2 \/ $12\n<\/p><\/td><td><p>\n  76.99s\n<\/p><\/td><\/tr><tr><td><p>\n  5\n<\/p><\/td><td><p>\n  Gemini 3 Flash\n<\/p><\/td><td><p>\n  87.63% \u00b1 0.79\n<\/p><\/td><td><p>\n  $0.5 \/ $3\n<\/p><\/td><td><p>\n  27.86s\n<\/p><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">\n  Nh\u1eadn x\u00e9t th\u1ef1c t\u1ebf: n\u1ebfu \u01b0u ti\u00ean \u0111i\u1ec3m s\u1ed1 cao nh\u1ea5t, Claude Fable 5 \u0111ang \u0111\u1ee9ng \u0111\u1ea7u trong b\u1ea3ng Vals. N\u1ebfu c\u1ea7n c\u00e2n b\u1eb1ng t\u1ed1c \u0111\u1ed9 v\u00e0 chi ph\u00ed, Gemini 3.5 Flash r\u1ea5t \u0111\u00e1ng ch\u00fa \u00fd v\u00ec \u0111i\u1ec3m g\u1ea7n top nh\u01b0ng latency th\u1ea5p h\u01a1n nhi\u1ec1u.\n<\/p>\n\n\n\n<h3 id=\"Model_t\u1ed1t_nh\u1ea5t_cho_long_context:_\u0111\u1ecdc_t\u00e0i_li\u1ec7u_d\u00e0i\"><a id=\"post-126132-5. Model t\u1ed1t nh\u1ea5t cho long context: \u0111\u1ecdc \"><\/a><strong>Model t\u1ed1t nh\u1ea5t cho long context: \u0111\u1ecdc t\u00e0i li\u1ec7u d\u00e0i<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">\n  \u0110\u00e2y l\u00e0 nh\u00f3m \u0111\u00e1nh gi\u00e1 b\u1ed5 sung th\u1ee9 hai. Nhi\u1ec1u model qu\u1ea3ng c\u00e1o context 200k, 1M ho\u1eb7c h\u01a1n, nh\u01b0ng benchmark long context cho th\u1ea5y v\u1ea5n \u0111\u1ec1 kh\u00f4ng n\u1eb1m \u1edf \u201cnh\u00e9t \u0111\u01b0\u1ee3c bao nhi\u00eau ch\u1eef\u201d, m\u00e0 l\u00e0 model c\u00f3 t\u00ecm, n\u1ed1i \u00fd v\u00e0 suy lu\u1eadn \u0111\u00fang trong t\u00e0i li\u1ec7u d\u00e0i hay kh\u00f4ng.\n<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><td><p><strong>Benchmark<\/strong>\n<\/p><\/td><td><p><strong>Model d\u1eabn \u0111\u1ea7u\/ nh\u00f3m n\u1ed5i b\u1eadt<\/strong>\n<\/p><\/td><td><p><strong>S\u1ed1 li\u1ec7u th\u1ef1c t\u1ea1i ngu\u1ed3n<\/strong>\n<\/p><\/td><td><p><strong>\u00dd ngh\u0129a<\/strong>\n<\/p><\/td><\/tr><tr><td><p>\n  AA-LCR\n<\/p><\/td><td><p>\n  GPT-5.2 Codex xhigh\n<\/p><\/td><td><p>\n  75.7%\n<\/p><\/td><td><p>\n  D\u1eabn \u0111\u1ea7u kh\u1ea3 n\u0103ng \u0111\u1ecdc, tr\u00edch xu\u1ea5t, t\u1ed5ng h\u1ee3p v\u00e0 suy lu\u1eadn t\u00e0i li\u1ec7u 10k-100k token theo Artificial Analysis.\n<\/p><\/td><\/tr><tr><td><p>\n  AA-LCR\n<\/p><\/td><td><p>\n  GPT-5 high\n<\/p><\/td><td><p>\n  75.6%\n<\/p><\/td><td><p>\n  B\u00e1m s\u00e1t top 1, t\u1ed1t cho t\u00e1c v\u1ee5 t\u00e0i li\u1ec7u d\u00e0i c\u00f3 reasoning.\n<\/p><\/td><\/tr><tr><td><p>\n  AA-LCR\n<\/p><\/td><td><p>\n  GPT-5.1 high\n<\/p><\/td><td><p>\n  75.0%\n<\/p><\/td><td><p>\n  \u1ed4n \u0111\u1ecbnh trong nh\u00f3m \u0111\u1ea7u.\n<\/p><\/td><\/tr><tr><td><p>\n  LongBench v2\n<\/p><\/td><td><p>\n  Claude Opus 4.5\n<\/p><\/td><td><p>\n  64.4%\n<\/p><\/td><td><p>\n  D\u1eabn \u0111\u1ea7u LongBench v2 theo BenchLM, \u0111o kh\u1ea3 n\u0103ng d\u00f9ng ng\u1eef c\u1ea3nh d\u00e0i th\u1eadt s\u1ef1.\n<\/p><\/td><\/tr><tr><td><p>\n  LLM Stats long context\n<\/p><\/td><td><p>\n  Qwen3.7-Plus\n<\/p><\/td><td><p>\n  #1 theo rating long-context\n<\/p><\/td><td><p>\n  \u0110\u01b0\u1ee3c x\u1ebfp cao v\u1ec1 long-document comprehension v\u00e0 retrieval accuracy.\n<\/p><\/td><\/tr><tr><td><p>\n  LLM Stats long context\n<\/p><\/td><td><p>\n  Mistral Small 4\n<\/p><\/td><td><p>\n  #2, gi\u00e1 blended kho\u1ea3ng $0.24\/1M token, context 256k\n<\/p><\/td><td><p>\n  L\u1ef1a ch\u1ecdn \u0111\u00e1ng ch\u00fa \u00fd khi c\u1ea7n gi\u00e1 tr\u1ecb\/chi ph\u00ed t\u1ed1t.\n<\/p><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">\n  Nh\u1eadn x\u00e9t th\u1ef1c t\u1ebf: v\u1edbi t\u00e0i li\u1ec7u ph\u00e1p l\u00fd, b\u00e1o c\u00e1o t\u00e0i ch\u00ednh, h\u1ed3 s\u01a1 d\u1ef1 \u00e1n, d\u1eef li\u1ec7u CRM ho\u1eb7c knowledge base d\u00e0i, n\u00ean test b\u1eb1ng b\u1ed9 t\u00e0i li\u1ec7u th\u1eadt c\u1ee7a c\u00f4ng ty. \u0110\u1eebng ch\u1ec9 nh\u00ecn context window qu\u1ea3ng c\u00e1o.\n<\/p>\n\n\n\n<h3 id=\"Model_nhanh_v\u00e0_r\u1ebb_cho_s\u1ea3n_ph\u1ea9m\"><a id=\"post-126132-6. Model nhanh v\u00e0 r\u1ebb cho s\u1ea3n ph\u1ea9m\"><\/a><strong>Model nhanh v\u00e0 r\u1ebb cho s\u1ea3n ph\u1ea9m<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">\n  Kh\u00f4ng ph\u1ea3i l\u00fac n\u00e0o model \u0111i\u1ec3m cao nh\u1ea5t c\u0169ng l\u00e0 l\u1ef1a ch\u1ecdn t\u1ed1t nh\u1ea5t. V\u1edbi chatbot CSKH, ph\u00e2n lo\u1ea1i n\u1ed9i dung, t\u00f3m t\u1eaft ticket, routing lead ho\u1eb7c t\u1ea1o nh\u00e1p n\u1ed9i dung, c\u00e1c model nhanh\/r\u1ebb c\u00f3 th\u1ec3 \u0111em l\u1ea1i hi\u1ec7u qu\u1ea3 t\u1ed1t h\u01a1n.\n<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><td><p><strong>Nhu c\u1ea7u<\/strong>\n<\/p><\/td><td><p><strong>Model\/nh\u00f3m model n\u00ean test<\/strong>\n<\/p><\/td><td><p><strong>L\u00fd do<\/strong>\n<\/p><\/td><\/tr><tr><td><p><br>  Ph\u1ea3n h\u1ed3i c\u1ef1c nhanh<br><\/p><\/td><td><p><br>  Gemini Flash, Llama\/Gemma\/Nova Micro t\u00f9y n\u1ec1n t\u1ea3ng<br><\/p><\/td><td><p><br>  \u0110\u1ed9 tr\u1ec5 th\u1ea5p, chi ph\u00ed t\u1ed1t<br><\/p><\/td><\/tr><tr><td><p>\n  Context d\u00e0i\n<\/p><\/td><td><p>\n  Qwen3.7-Plus, Claude Opus, Gemini Pro, Mistral Small 4\n<\/p><\/td><td><p>\n  Ph\u00f9 h\u1ee3p \u0111\u1ecdc t\u00e0i li\u1ec7u d\u00e0i, log, h\u1ed3 s\u01a1 kh\u00e1ch h\u00e0ng\n<\/p><\/td><\/tr><tr><td><p>\n  Chi ph\u00ed th\u1ea5p\n<\/p><\/td><td><p>\n  Qwen nh\u1ecf, Gemma, Nova Micro\n<\/p><\/td><td><p>\n  R\u1ebb cho t\u00e1c v\u1ee5 \u0111\u01a1n gi\u1ea3n, s\u1ed1 l\u01b0\u1ee3ng l\u1edbn\n<\/p><\/td><\/tr><tr><td><p>\n  Ch\u1ea5t l\u01b0\u1ee3ng cao\n<\/p><\/td><td><p>\n  Claude Fable\/Opus, GPT-5.5, Gemini Pro\n<\/p><\/td><td><p>\n  D\u00f9ng cho t\u00e1c v\u1ee5 quan tr\u1ecdng, c\u1ea7n suy lu\u1eadn s\u00e2u\n<\/p><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h3 id=\"Model_t\u1ed1t_nh\u1ea5t_theo_tr\u1ea3i_nghi\u1ec7m_ng\u01b0\u1eddi_d\u00f9ng_th\u1eadt\"><a id=\"post-126132-7. Model t\u1ed1t nh\u1ea5t theo tr\u1ea3i nghi\u1ec7m ng\u01b0\u1eddi\"><\/a><strong>Model t\u1ed1t nh\u1ea5t theo tr\u1ea3i nghi\u1ec7m ng\u01b0\u1eddi d\u00f9ng th\u1eadt<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">\n  LMArena c\u00f3 gi\u00e1 tr\u1ecb v\u00ec d\u00f9ng so s\u00e1nh \u1ea9n danh v\u00e0 b\u00ecnh ch\u1ecdn t\u1eeb ng\u01b0\u1eddi d\u00f9ng th\u1eadt. \u0110\u00e2y kh\u00f4ng ph\u1ea3i benchmark \u201cph\u00f2ng lab\u201d thu\u1ea7n t\u00fay, nh\u01b0ng l\u1ea1i ph\u1ea3n \u00e1nh kh\u00e1 t\u1ed1t c\u1ea3m gi\u00e1c d\u00f9ng th\u1eadt: c\u00e2u tr\u1ea3 l\u1eddi c\u00f3 t\u1ef1 nhi\u00ean kh\u00f4ng, c\u00f3 \u0111\u00fang \u00fd kh\u00f4ng, c\u00f3 h\u1eefu \u00edch kh\u00f4ng, c\u00f3 vi\u1ebft code\/vi\u1ebft n\u1ed9i dung t\u1ed1t kh\u00f4ng.\n<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\n  V\u1edbi doanh nghi\u1ec7p l\u00e0m s\u1ea3n ph\u1ea9m AI cho kh\u00e1ch h\u00e0ng cu\u1ed1i, n\u00ean xem LMArena nh\u01b0 l\u1edbp ki\u1ec3m tra b\u1ed5 sung b\u00ean c\u1ea1nh c\u00e1c benchmark k\u1ef9 thu\u1eadt. \u0110i\u1ec3m s\u1ed1 lab cao m\u00e0 tr\u1ea3i nghi\u1ec7m chat t\u1ec7 th\u00ec v\u1eabn ch\u01b0a ch\u1eafc ph\u00f9 h\u1ee3p \u0111\u1ec3 \u0111\u01b0a ra th\u1ecb tr\u01b0\u1eddng.\n<\/p>\n\n\n\n<h2 id=\"Khuy\u1ebfn_ngh\u1ecb_ch\u1ecdn_AI_model_cho_doanh_nghi\u1ec7p\"><a id=\"post-126132-Khuy\u1ebfn ngh\u1ecb ch\u1ecdn AI model cho doanh nghi\"><\/a><strong>Khuy\u1ebfn ngh\u1ecb ch\u1ecdn AI model cho doanh nghi\u1ec7p<\/strong><\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>C\u00e1ch ch\u1ecdn th\u1ef1c t\u1ebf: <\/strong>\u0111\u1eebng ch\u1ecdn theo \u201cmodel top 1\u201d duy nh\u1ea5t. N\u00ean chia th\u00e0nh 3 t\u1ea7ng: model cao c\u1ea5p cho vi\u1ec7c kh\u00f3, model c\u00e2n b\u1eb1ng cho t\u00e1c v\u1ee5 h\u1eb1ng ng\u00e0y, model r\u1ebb\/nhanh cho vi\u1ec7c l\u1eb7p l\u1ea1i s\u1ed1 l\u01b0\u1ee3ng l\u1edbn.\n<\/li>\n\n\n\n<li><strong>Cho l\u00e3nh \u0111\u1ea1o v\u00e0 chi\u1ebfn l\u01b0\u1ee3c: <\/strong>\u01b0u ti\u00ean model reasoning m\u1ea1nh nh\u01b0 Claude Fable\/Opus, GPT-5.5 ho\u1eb7c Gemini Pro. C\u00e1c t\u00e1c v\u1ee5 nh\u01b0 \u0111\u1ecdc b\u00e1o c\u00e1o, ph\u00e2n t\u00edch th\u1ecb tr\u01b0\u1eddng, so\u1ea1n ph\u01b0\u01a1ng \u00e1n, ki\u1ec3m tra r\u1ee7i ro n\u00ean d\u00f9ng model ch\u1ea5t l\u01b0\u1ee3ng cao.\n<\/li>\n\n\n\n<li><strong>Cho \u0111\u1ed9i k\u1ef9 thu\u1eadt: <\/strong>\u01b0u ti\u00ean Claude Sonnet\/Opus\/Fable ho\u1eb7c nh\u00f3m model \u0111\u1ee9ng cao tr\u00ean SWE-bench Verified. N\u00ean test b\u1eb1ng repo th\u1eadt c\u1ee7a c\u00f4ng ty: s\u1eeda bug, vi\u1ebft test, review pull request, ph\u00e2n t\u00edch log.\n<\/li>\n\n\n\n<li><strong>Cho CSKH v\u00e0 v\u1eadn h\u00e0nh: <\/strong>\u01b0u ti\u00ean model nhanh, r\u1ebb, context \u0111\u1ee7 d\u00e0i. N\u00ean c\u00f3 c\u01a1 ch\u1ebf ki\u1ec3m tra ngu\u1ed3n, guardrail v\u00e0 fallback sang model m\u1ea1nh khi c\u00e2u h\u1ecfi kh\u00f3 ho\u1eb7c c\u00f3 r\u1ee7i ro.\n<\/li>\n\n\n\n<li><strong>Cho t\u00e0i li\u1ec7u d\u00e0i: <\/strong>n\u00ean test ri\u00eang b\u1eb1ng h\u1ed3 s\u01a1 th\u1eadt. Model c\u00f3 context l\u1edbn nh\u01b0ng v\u1eabn c\u00f3 th\u1ec3 b\u1ecf s\u00f3t th\u00f4ng tin \u1edf gi\u1eefa t\u00e0i li\u1ec7u. N\u00ean \u0111o th\u00eam t\u1ef7 l\u1ec7 tr\u00edch ngu\u1ed3n \u0111\u00fang v\u00e0 t\u1ef7 l\u1ec7 tr\u1ea3 l\u1eddi \u201ckh\u00f4ng bi\u1ebft\u201d khi thi\u1ebfu d\u1eef li\u1ec7u.\n<\/li>\n\n\n\n<li><strong>Cho multimodal: <\/strong>n\u00ean test b\u1eb1ng \u1ea3nh th\u1eadt c\u1ee7a doanh nghi\u1ec7p: h\u00f3a \u0111\u01a1n, \u1ea3nh l\u1ed7i, \u1ea3nh s\u1ea3n ph\u1ea9m, bi\u1ec3u \u0111\u1ed3, slide, t\u00e0i li\u1ec7u scan. Benchmark MMMU-Pro ch\u1ec9 l\u00e0 \u0111i\u1ec3m kh\u1edfi \u0111\u1ea7u.\n<\/li>\n<\/ul>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img decoding=\"async\" width=\"700\" height=\"375\" src=\"https:\/\/tino.vn\/blog\/wp-content\/uploads\/2026\/06\/so-sanh-cac-ai-model-theo-benchmark-4.png\" alt=\"Khuy\u1ebfn ngh\u1ecb ch\u1ecdn AI model cho doanh nghi\u1ec7p\" class=\"wp-image-126146\" title=\"\" srcset=\"https:\/\/tino.vn\/blog\/wp-content\/uploads\/2026\/06\/so-sanh-cac-ai-model-theo-benchmark-4.png 700w, https:\/\/tino.vn\/blog\/wp-content\/uploads\/2026\/06\/so-sanh-cac-ai-model-theo-benchmark-4-300x161.png 300w\" sizes=\"(max-width: 700px) 100vw, 700px\" \/><figcaption class=\"wp-element-caption\"><strong>Khuy\u1ebfn ngh\u1ecb ch\u1ecdn AI model cho doanh nghi\u1ec7p<\/strong><\/figcaption><\/figure>\n<\/div>\n\n\n<h3 id=\"K\u1ebft_lu\u1eadn\"><a id=\"post-126132-K\u1ebft lu\u1eadn\"><\/a><strong>K\u1ebft lu\u1eadn<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">B\u1ea3ng benchmark AI model l\u00e0 c\u00f4ng c\u1ee5 r\u1ea5t quan tr\u1ecdng khi c\u1ea7n ch\u1ecdn GPT, Claude, Gemini, Llama, Qwen, DeepSeek, Mistral ho\u1eb7c b\u1ea5t k\u1ef3 model n\u00e0o cho c\u00f4ng vi\u1ec7c th\u1ef1c t\u1ebf. Tuy nhi\u00ean, kh\u00f4ng n\u00ean xem benchmark nh\u01b0 m\u1ed9t b\u1ea3ng x\u1ebfp h\u1ea1ng tuy\u1ec7t \u0111\u1ed1i. C\u00e1ch ti\u1ebfp c\u1eadn \u0111\u00fang l\u00e0 x\u00e1c \u0111\u1ecbnh nhu c\u1ea7u tr\u01b0\u1edbc, ch\u1ecdn ngu\u1ed3n benchmark ph\u00f9 h\u1ee3p, xem th\u00eam gi\u00e1 v\u00e0 t\u1ed1c \u0111\u1ed9, sau \u0111\u00f3 test l\u1ea1i b\u1eb1ng d\u1eef li\u1ec7u th\u1eadt c\u1ee7a ch\u00ednh b\u1ea1n.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Trong k\u1ef7 nguy\u00ean AI Agent, model m\u1ea1nh kh\u00f4ng ch\u1ec9 l\u00e0 model tr\u1ea3 l\u1eddi hay. Model ph\u00f9 h\u1ee3p c\u1ea7n bi\u1ebft suy lu\u1eadn, d\u00f9ng c\u00f4ng c\u1ee5, x\u1eed l\u00fd ng\u1eef c\u1ea3nh, gi\u1eef chi ph\u00ed h\u1ee3p l\u00fd v\u00e0 ho\u1ea1t \u0111\u1ed9ng \u1ed5n \u0111\u1ecbnh trong workflow th\u1eadt. V\u00ec v\u1eady, benchmark n\u00ean l\u00e0 \u0111i\u1ec3m kh\u1edfi \u0111\u1ea7u cho qu\u00e1 tr\u00ecnh l\u1ef1a ch\u1ecdn, kh\u00f4ng ph\u1ea3i \u0111\u00e1p \u00e1n cu\u1ed1i c\u00f9ng.<\/p>\n\n\n\n<h3 id=\"Ngu\u1ed3n_tham_kh\u1ea3o\"><a id=\"post-126132-Ngu\u1ed3n tham kh\u1ea3o\"><\/a><strong>Ngu\u1ed3n tham kh\u1ea3o<\/strong><\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Artificial Analysis LLM Leaderboard: <a href=\"https:\/\/artificialanalysis.ai\/leaderboards\/models\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">https:\/\/artificialanalysis.ai\/leaderboards\/models<\/a><\/li>\n\n\n\n<li>Artificial Analysis Intelligence Index: <a href=\"https:\/\/artificialanalysis.ai\/evaluations\/artificial-analysis-intelligence-index\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">https:\/\/artificialanalysis.ai\/evaluations\/artificial-analysis-intelligence-index<\/a><\/li>\n\n\n\n<li>Artificial Analysis Long Context Reasoning: <a href=\"https:\/\/artificialanalysis.ai\/evaluations\/artificial-analysis-long-context-reasoning\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">https:\/\/artificialanalysis.ai\/evaluations\/artificial-analysis-long-context-reasoning<\/a><\/li>\n\n\n\n<li>Artificial Analysis MMMU-Pro: <a href=\"https:\/\/artificialanalysis.ai\/evaluations\/mmmu-pro\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">https:\/\/artificialanalysis.ai\/evaluations\/mmmu-pro<\/a><\/li>\n\n\n\n<li>Vals AI MMMU Pro: <a href=\"https:\/\/www.vals.ai\/benchmarks\/mmmu\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">https:\/\/www.vals.ai\/benchmarks\/mmmu<\/a><\/li>\n\n\n\n<li> SWE-bench Verified: <a href=\"https:\/\/www.swebench.com\/verified.html\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">https:\/\/www.swebench.com\/verified.html<\/a><\/li>\n\n\n\n<li>Vellum LLM Leaderboard 2026: <a href=\"https:\/\/www.vellum.ai\/llm-leaderboard\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">https:\/\/www.vellum.ai\/llm-leaderboard<\/a><\/li>\n\n\n\n<li>BenchLM LongBench v2: <a href=\"https:\/\/benchlm.ai\/benchmarks\/longBenchV2\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">https:\/\/benchlm.ai\/benchmarks\/longBenchV2<\/a><\/li>\n\n\n\n<li>LLM Stats Long Context: <a href=\"https:\/\/llm-stats.com\/leaderboards\/best-ai-for-long-context\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">https:\/\/llm-stats.com\/leaderboards\/best-ai-for-long-context<\/a><\/li>\n\n\n\n<li>LMArena: <a href=\"https:\/\/lmarena.ai\/\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">https:\/\/lmarena.ai\/<\/a><\/li>\n<\/ul>\n\n\n\n<h2 id=\"Nh\u1eefng_c\u00e2u_h\u1ecfi_th\u01b0\u1eddng_g\u1eb7p\"><strong>Nh\u1eefng c\u00e2u h\u1ecfi th\u01b0\u1eddng g\u1eb7p<\/strong><\/h2>\n\n\n\t\t<section\t\thelp class=\"sc_fs_faq sc_card    \"\n\t\t\t\t>\n\t\t\t\t<h2 id=\"Model_\u0111\u1ee9ng_\u0111\u1ea7u_benchmark_c\u00f3_lu\u00f4n_l\u00e0_l\u1ef1a_ch\u1ecdn_t\u1ed1t_nh\u1ea5t_kh\u00f4ng?\">Model \u0111\u1ee9ng \u0111\u1ea7u benchmark c\u00f3 lu\u00f4n l\u00e0 l\u1ef1a ch\u1ecdn t\u1ed1t nh\u1ea5t kh\u00f4ng?<\/h2>\t\t\t\t<div>\n\t\t\t\t\t\t<div class=\"sc_fs_faq__content\">\n\t\t\t\t\n\n<p class=\"wp-block-paragraph\">Kh\u00f4ng. Model \u0111\u1ee9ng \u0111\u1ea7u c\u00f3 th\u1ec3 r\u1ea5t m\u1ea1nh trong m\u1ed9t b\u1ed9 test c\u1ee5 th\u1ec3 nh\u01b0ng ch\u01b0a ch\u1eafc ph\u00f9 h\u1ee3p v\u1edbi ng\u00e2n s\u00e1ch, t\u1ed1c \u0111\u1ed9, ti\u1ebfng Vi\u1ec7t ho\u1eb7c workflow th\u1ef1c t\u1ebf c\u1ee7a b\u1ea1n.<\/p>\n\n\t\t\t<\/div>\n\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section\t\thelp class=\"sc_fs_faq sc_card    \"\n\t\t\t\t>\n\t\t\t\t<h2 id=\"N\u00ean_ch\u1ecdn_benchmark_n\u00e0o_khi_x\u00e2y_AI_Agent?\">N\u00ean ch\u1ecdn benchmark n\u00e0o khi x\u00e2y AI Agent?<\/h2>\t\t\t\t<div>\n\t\t\t\t\t\t<div class=\"sc_fs_faq__content\">\n\t\t\t\t\n\n<p class=\"wp-block-paragraph\">V\u1edbi AI Agent, n\u00ean xem SWE-bench, Artificial Analysis v\u00e0 LMArena. Ngo\u00e0i \u0111i\u1ec3m s\u1ed1, c\u1ea7n ki\u1ec3m tra kh\u1ea3 n\u0103ng d\u00f9ng c\u00f4ng c\u1ee5, t\u1ef1 s\u1eeda l\u1ed7i, gi\u1eef ng\u1eef c\u1ea3nh v\u00e0 x\u1eed l\u00fd nhi\u1ec1u b\u01b0\u1edbc.<\/p>\n\n\t\t\t<\/div>\n\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section\t\thelp class=\"sc_fs_faq sc_card    \"\n\t\t\t\t>\n\t\t\t\t<h2 id=\"C\u00f3_n\u00ean_d\u00f9ng_model_open-source_thay_cho_API_th\u01b0\u01a1ng_m\u1ea1i_kh\u00f4ng?\">C\u00f3 n\u00ean d\u00f9ng model open-source thay cho API th\u01b0\u01a1ng m\u1ea1i kh\u00f4ng?<\/h2>\t\t\t\t<div>\n\t\t\t\t\t\t<div class=\"sc_fs_faq__content\">\n\t\t\t\t\n\n<p class=\"wp-block-paragraph\">C\u00f3 th\u1ec3, n\u1ebfu b\u1ea1n c\u1ea7n ki\u1ec3m so\u00e1t d\u1eef li\u1ec7u, t\u1ed1i \u01b0u chi ph\u00ed d\u00e0i h\u1ea1n ho\u1eb7c tri\u1ec3n khai tr\u00ean server ri\u00eang. Tuy nhi\u00ean, c\u1ea7n t\u00ednh th\u00eam chi ph\u00ed ph\u1ea7n c\u1ee9ng, v\u1eadn h\u00e0nh, t\u1ed1i \u01b0u inference v\u00e0 \u0111\u1ed9i ng\u0169 k\u1ef9 thu\u1eadt.<\/p>\n\n\t\t\t<\/div>\n\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section\t\thelp class=\"sc_fs_faq sc_card    \"\n\t\t\t\t>\n\t\t\t\t<h2 id=\"T\u1ea1i_sao_\u0111i\u1ec3m_SWE-Bench_c\u1ee7a_c\u00f9ng_m\u1ed9t_m\u00f4_h\u00ecnh_l\u1ea1i_kh\u00e1c_nhau_\u1edf_c\u00e1c_ngu\u1ed3n?\">T\u1ea1i sao \u0111i\u1ec3m SWE-Bench c\u1ee7a c\u00f9ng m\u1ed9t m\u00f4 h\u00ecnh l\u1ea1i kh\u00e1c nhau \u1edf c\u00e1c ngu\u1ed3n?<\/h2>\t\t\t\t<div>\n\t\t\t\t\t\t<div class=\"sc_fs_faq__content\">\n\t\t\t\t\n\n<p class=\"wp-block-paragraph\">V\u00ec \u0111i\u1ec1u ki\u1ec7n \u0111\u00e1nh gi\u00e1 kh\u00e1c nhau. Anthropic d\u00f9ng b\u1ed9 c\u00f4ng c\u1ee5 t\u00f9y ch\u1ec9nh c\u1ee7a ri\u00eang m\u00ecnh, Scale SEAL d\u00f9ng \u0111i\u1ec1u ki\u1ec7n chu\u1ea9n h\u00f3a gi\u1ed1ng nhau cho t\u1ea5t c\u1ea3. C\u00f9ng Claude Opus 4.6 c\u00f3 th\u1ec3 cho k\u1ebft qu\u1ea3 51,9% (Scale) v\u00e0 69,2% (Anthropic). S\u1ef1 ch\u00eanh l\u1ec7ch \u0111\u1ebfn t\u1eeb &#8220;gi\u00e0n gi\u00e1o&#8221; h\u1ed7 tr\u1ee3, kh\u00f4ng ph\u1ea3i t\u1eeb b\u1ea3n th\u00e2n m\u00f4 h\u00ecnh.<\/p>\n\n\t\t\t<\/div>\n\t\t<\/div>\n\t\t<\/section>\n\t\t\n<script type=\"application\/ld+json\">\n\t{\n\t\t\"@context\": \"https:\/\/schema.org\",\n\t\t\"@type\": \"FAQPage\",\n\t\t\"mainEntity\": [\n\t\t\t\t\t{\n\t\t\t\t\"@type\": \"Question\",\n\t\t\t\t\"name\": \"Model \u0111\u1ee9ng \u0111\u1ea7u benchmark c\u00f3 lu\u00f4n l\u00e0 l\u1ef1a ch\u1ecdn t\u1ed1t nh\u1ea5t kh\u00f4ng?\",\n\t\t\t\t\"acceptedAnswer\": {\n\t\t\t\t\t\"@type\": \"Answer\",\n\t\t\t\t\t\"text\": \"<p>Kh\u00f4ng. Model \u0111\u1ee9ng \u0111\u1ea7u c\u00f3 th\u1ec3 r\u1ea5t m\u1ea1nh trong m\u1ed9t b\u1ed9 test c\u1ee5 th\u1ec3 nh\u01b0ng ch\u01b0a ch\u1eafc ph\u00f9 h\u1ee3p v\u1edbi ng\u00e2n s\u00e1ch, t\u1ed1c \u0111\u1ed9, ti\u1ebfng Vi\u1ec7t ho\u1eb7c workflow th\u1ef1c t\u1ebf c\u1ee7a b\u1ea1n.<\/p>\"\n\t\t\t\t\t\t\t\t\t}\n\t\t\t}\n\t\t\t,\t\t\t\t{\n\t\t\t\t\"@type\": \"Question\",\n\t\t\t\t\"name\": \"N\u00ean ch\u1ecdn benchmark n\u00e0o khi x\u00e2y AI Agent?\",\n\t\t\t\t\"acceptedAnswer\": {\n\t\t\t\t\t\"@type\": \"Answer\",\n\t\t\t\t\t\"text\": \"<p>V\u1edbi AI Agent, n\u00ean xem SWE-bench, Artificial Analysis v\u00e0 LMArena. Ngo\u00e0i \u0111i\u1ec3m s\u1ed1, c\u1ea7n ki\u1ec3m tra kh\u1ea3 n\u0103ng d\u00f9ng c\u00f4ng c\u1ee5, t\u1ef1 s\u1eeda l\u1ed7i, gi\u1eef ng\u1eef c\u1ea3nh v\u00e0 x\u1eed l\u00fd nhi\u1ec1u b\u01b0\u1edbc.<\/p>\"\n\t\t\t\t\t\t\t\t\t}\n\t\t\t}\n\t\t\t,\t\t\t\t{\n\t\t\t\t\"@type\": \"Question\",\n\t\t\t\t\"name\": \"C\u00f3 n\u00ean d\u00f9ng model open-source thay cho API th\u01b0\u01a1ng m\u1ea1i kh\u00f4ng?\",\n\t\t\t\t\"acceptedAnswer\": {\n\t\t\t\t\t\"@type\": \"Answer\",\n\t\t\t\t\t\"text\": \"<p>C\u00f3 th\u1ec3, n\u1ebfu b\u1ea1n c\u1ea7n ki\u1ec3m so\u00e1t d\u1eef li\u1ec7u, t\u1ed1i \u01b0u chi ph\u00ed d\u00e0i h\u1ea1n ho\u1eb7c tri\u1ec3n khai tr\u00ean server ri\u00eang. Tuy nhi\u00ean, c\u1ea7n t\u00ednh th\u00eam chi ph\u00ed ph\u1ea7n c\u1ee9ng, v\u1eadn h\u00e0nh, t\u1ed1i \u01b0u inference v\u00e0 \u0111\u1ed9i ng\u0169 k\u1ef9 thu\u1eadt.<\/p>\"\n\t\t\t\t\t\t\t\t\t}\n\t\t\t}\n\t\t\t,\t\t\t\t{\n\t\t\t\t\"@type\": \"Question\",\n\t\t\t\t\"name\": \"T\u1ea1i sao \u0111i\u1ec3m SWE-Bench c\u1ee7a c\u00f9ng m\u1ed9t m\u00f4 h\u00ecnh l\u1ea1i kh\u00e1c nhau \u1edf c\u00e1c ngu\u1ed3n?\",\n\t\t\t\t\"acceptedAnswer\": {\n\t\t\t\t\t\"@type\": \"Answer\",\n\t\t\t\t\t\"text\": \"<p>V\u00ec \u0111i\u1ec1u ki\u1ec7n \u0111\u00e1nh gi\u00e1 kh\u00e1c nhau. Anthropic d\u00f9ng b\u1ed9 c\u00f4ng c\u1ee5 t\u00f9y ch\u1ec9nh c\u1ee7a ri\u00eang m\u00ecnh, Scale SEAL d\u00f9ng \u0111i\u1ec1u ki\u1ec7n chu\u1ea9n h\u00f3a gi\u1ed1ng nhau cho t\u1ea5t c\u1ea3. C\u00f9ng Claude Opus 4.6 c\u00f3 th\u1ec3 cho k\u1ebft qu\u1ea3 51,9% (Scale) v\u00e0 69,2% (Anthropic). S\u1ef1 ch\u00eanh l\u1ec7ch \u0111\u1ebfn t\u1eeb \\\"gi\u00e0n gi\u00e1o\\\" h\u1ed7 tr\u1ee3, kh\u00f4ng ph\u1ea3i t\u1eeb b\u1ea3n th\u00e2n m\u00f4 h\u00ecnh.<\/p>\"\n\t\t\t\t\t\t\t\t\t}\n\t\t\t}\n\t\t\t\t\t\t]\n\t}\n<\/script>\n","protected":false},"excerpt":{"rendered":"<p>Th\u1ecb tr\u01b0\u1eddng AI \u0111ang thay \u0111\u1ed5i r\u1ea5t nhanh. M\u1ed7i v\u00e0i tu\u1ea7n, ng\u01b0\u1eddi d\u00f9ng l\u1ea1i th\u1ea5y m\u1ed9t model m\u1edbi xu\u1ea5t hi\u1ec7n v\u1edbi l\u1eddi gi\u1edbi thi\u1ec7u m\u1ea1nh h\u01a1n, nhanh h\u01a1n ho\u1eb7c r\u1ebb h\u01a1n. Tuy nhi\u00ean, khi c\u1ea7n ch\u1ecdn AI model v\u1edbi nhu c\u1ea7u c\u00f4ng vi\u1ec7c, c\u1ea3m t\u00ednh th\u00f4i ch\u01b0a \u0111\u1ee7. \u0110\u00f3 l\u00e0 l\u00fd do b\u1ea3ng benchmark AI [&hellip;]<\/p>\n","protected":false},"author":23,"featured_media":126148,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[7396],"tags":[7655],"class_list":["post-126132","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-cong-cu-ai","tag-benchmark-model-ai"],"_links":{"self":[{"href":"https:\/\/tino.vn\/blog\/wp-json\/wp\/v2\/posts\/126132","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/tino.vn\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/tino.vn\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/tino.vn\/blog\/wp-json\/wp\/v2\/users\/23"}],"replies":[{"embeddable":true,"href":"https:\/\/tino.vn\/blog\/wp-json\/wp\/v2\/comments?post=126132"}],"version-history":[{"count":10,"href":"https:\/\/tino.vn\/blog\/wp-json\/wp\/v2\/posts\/126132\/revisions"}],"predecessor-version":[{"id":126149,"href":"https:\/\/tino.vn\/blog\/wp-json\/wp\/v2\/posts\/126132\/revisions\/126149"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/tino.vn\/blog\/wp-json\/wp\/v2\/media\/126148"}],"wp:attachment":[{"href":"https:\/\/tino.vn\/blog\/wp-json\/wp\/v2\/media?parent=126132"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/tino.vn\/blog\/wp-json\/wp\/v2\/categories?post=126132"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/tino.vn\/blog\/wp-json\/wp\/v2\/tags?post=126132"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}