[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"tag-ai-benchmarks":3},{"tag":4,"articles":11,"peer_article_count":8},{"id":5,"name":6,"slug":7,"article_count":8,"description_zh":9,"description_en":10},"bc621db1-f621-43ab-9821-f832ef6ceff5","AI benchmarks","ai-benchmarks",3,"AI 基準測試用來比較模型在推理、知識問答、程式能力與長上下文等面向的表現，像 ARC-AGI-2、GPQA、MMLU 這類分數常被拿來判斷新模型是否真的進步，也能看出各家在成本與能力之間的取捨。","AI benchmarks measure how models perform on reasoning, knowledge QA, coding, and long-context tasks. Scores from tests like ARC-AGI-2, GPQA, and MMLU help compare new releases, track real progress, and expose trade-offs between capability, cost, and reliability.",[12,21,28,36,44,51,59],{"id":13,"slug":14,"title":15,"summary":16,"category":17,"image_url":18,"cover_image":18,"language":19,"created_at":20},"29c4b64b-1ff6-4e8f-a478-a43cc9507809","ai-model-benchmarks-gpt-55-claude-gemini-grok-en","18 AI benchmarks now rank GPT-5.5, Claude, Gemini","LM Council’s June 2026 benchmark hub compares 30+ models across 18 tests, with fresh scores from Epoch AI, Scale AI, and others.","research","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781636573742-hzva.png","en","2026-06-16T19:02:23.681596+00:00",{"id":22,"slug":23,"title":24,"summary":25,"category":17,"image_url":26,"cover_image":26,"language":19,"created_at":27},"e891adc0-af64-41c7-bb41-d75e6506d388","ai-benchmarks-2026-evaluations-limits-en","AI Benchmarks 2026: Top Evaluations and Limits","MMLU, HLE, SWE-Bench and agent tests are hitting limits in 2026, while production gaps and contamination keep human review necessary.","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781381870944-h208.png","2026-06-13T20:17:26.361723+00:00",{"id":29,"slug":30,"title":31,"summary":32,"category":33,"image_url":34,"cover_image":34,"language":19,"created_at":35},"aa623191-8abe-4e33-84ed-a52a431716c1","llm-stats-ai-benchmarks-compare-en","LLM Stats makes 300+ AI benchmarks easy to compare","300+ AI and LLM benchmarks sit in one directory, with live leaderboards and verified scores for reasoning, coding, vision, and more.","industry","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780973273971-9hfy.png","2026-06-09T02:47:23.038487+00:00",{"id":37,"slug":38,"title":39,"summary":40,"category":41,"image_url":42,"cover_image":42,"language":19,"created_at":43},"a08034a7-cc0d-470a-8af6-a9cb95738cca","gpt-55-tops-artificial-analysis-score-60-en","GPT-5.5 tops Artificial Analysis with score of 60","Artificial Analysis ranks GPT-5.5 (xhigh) first on intelligence with a 60 score, comparing 523 models on speed, price, latency, and context.","tools","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1779537963385-2pfk.png","2026-05-23T12:05:39.68569+00:00",{"id":45,"slug":46,"title":47,"summary":48,"category":17,"image_url":49,"cover_image":49,"language":19,"created_at":50},"ca152f29-641a-4c5b-8ca6-47a9a95b5d77","stanford-2026-ai-index-charts-explained-en","Stanford’s 2026 AI Index, explained with charts","Stanford’s 2026 AI Index shows faster adoption, rising costs, and thin US-China gaps. The charts tell a messier story than the hype.","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1776427445810-u5bp.png","2026-04-17T12:03:47.703137+00:00",{"id":52,"slug":53,"title":54,"summary":55,"category":56,"image_url":57,"cover_image":57,"language":19,"created_at":58},"04e78fe1-7f49-40db-bfb2-7bb4b3579276","gemini-3-1-pro-googles-top-model-in-numbers-en","Gemini 3.1 Pro: Google’s new top model in numbers","Gemini 3.1 Pro posts 77.1% on ARC-AGI-2, 94.3% on GPQA Diamond, and a 1M-token context window, while keeping Gemini 3 pricing.","model-release","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1775153582956-qese.png","2026-04-02T18:12:42.161483+00:00",{"id":60,"slug":61,"title":62,"summary":63,"category":56,"image_url":64,"cover_image":64,"language":19,"created_at":65},"61ed1d6b-505f-4cf5-b132-2d57964ca4c2","gpt-5-4-vs-claude-opus-4-6-ai-benchmark-en","GPT-5.4 vs Claude Opus 4.6: 75% Win Rate","We tested GPT-5.4, Claude Opus 4.6, DeepSeek V4, and Gemini 3.1 across 12 benchmarks. One model won 9 of them.","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1775127830823-xco3.png","2026-04-02T09:12:38.725884+00:00"]