{"id":"877395712500","page":"/c/877395712500/","topic":"AI Model Benchmark Comparison","publisher":"Meta","official":true,"platform":"X","publishedAt":"2026-07-09T14:10:38.000Z","model":"Muse Spark","form":"table","metrics":{"views":94838,"likes":370,"reposts":37,"quotes":58,"replies":21,"saves":26},"readAt":"2026-10-12T21:30:08.589Z","chartsInPost":1,"score":50,"scoreWeights":{"views":0.4,"likes":0.3,"eng":0.15,"save":0.15},"quadrant":"wide","ranks":{"score":{"industry":{"n":616,"of":1162},"company":{"n":12,"of":31}},"views":{"industry":{"n":391,"of":1162},"company":{"n":8,"of":31}},"likes":{"industry":{"n":517,"of":1162},"company":{"n":11,"of":31}},"eng":{"industry":{"n":821,"of":1162},"company":{"n":23,"of":31}},"save":{"industry":{"n":1003,"of":1162},"company":{"n":29,"of":31}}},"percentiles":{"industry":{"views":0.6639414802065404,"likes":0.5555077452667814,"eng":0.29388984509466437,"save":0.13726333907056798},"company":{"views":0.7580645161290323,"likes":0.6612903225806451,"eng":0.27419354838709675,"save":0.08064516129032258}},"peers":{"industry":1162,"company":31,"companyName":"Meta"},"medians":{"industry":{"views":39945,"likes":289,"eng":0.007331788144862199,"save":0.0007642791742968587},"company":{"views":36361,"likes":191,"eng":0.008121046332706446,"save":0.0008518547200495625},"form":{"n":95,"views":133203,"eng":0.0060924409940925}},"ratios":{"vsCompanyViews":2.6082340969720303,"vsCompanyLikes":1.9371727748691099,"viewsPerFollower":0.109593188531069,"viewsPerDay":995.0976958634914},"followers":865364,"reads":[{"at":"2026-10-12T15:08:15.438Z","views":94838,"likes":370,"reposts":37,"quotes":58,"replies":21,"saves":26,"source":"x-search-cache"}],"chartData":"/api/charts/877395712500.json","copy":{"en":{"why":[{"factor":"saves","text":"Its save rate of 0.027% sits at the 14th percentile among AI chart posts calmer than the 0.076% median."},{"factor":"launch-day","text":"The post ranked #1 of 4 by views among posts from this account that day."},{"factor":"reach-vs-company","text":"At 94.8K views it ran 2.6x the company median of 36.4K, ranking #8 of 31 Meta posts."}],"verdict":"It lands in Wide but thin, with a score rank of #616 of 1,162 AI chart posts.","news":{"headline":"Meta posts AI model benchmark comparison table chart","dek":"The July 9, 2026 table chart drew 94.8K views and 370 likes, with a save rate of 0.027%.","what":"Meta published a table chart on July 9, 2026 comparing AI model benchmark scores across agent, coding, and multimodal tasks. It was one of 4 posts from the account that day, alongside Meta Internal Coding Bench, Multi-agent vs Single Agent Performance, and Vibe Code Bench v1.1 - SWE Atlas Codebase.","numbers":"It reached 94.8K views, ranking #391 of 1,162 AI chart posts and #8 of 31 Meta posts. Its score rank is #616 of 1,162 AI chart posts.","lesson":"A save rate of 0.027% against the 0.076% median among AI chart posts shows this table chart was read more than kept. The 5-model comparison drew 94.8K views but ranked #1,003 of 1,162 AI chart posts on saves.","implication":"At #12 of 31 Meta posts by score, this chart sits mid-pack for the account despite 2.6x the company median views. The 0.027% save rate against the 0.076% median marks the gap between views and bookmarks."}},"zh":{"why":[{"factor":"saves","text":"收藏率0.027%，低于中位数0.076%，在1162条中排第1003。"},{"factor":"launch-day","text":"发布当天4条帖子中，本条浏览量排第1，领先其他3条。"},{"factor":"reach-vs-company","text":"浏览量9.5万，是Meta中位数3.6万的2.6倍，排第8。"}],"verdict":"传得远，互动偏少，在1162条AI图表帖中排第616。","news":{"headline":"Meta表格帖浏览量超中位数2.6倍","dek":"收藏率仅第14百分位，互动偏少。","what":"Meta于2026年7月9日发布1张表格图，对比5个模型的基准分。当天另有3条帖子。","numbers":"浏览量9.5万，在1162条中排第391，高于中位数4万。互动率0.51%，收藏率0.027%。","lesson":"高浏览量不等于高收藏：收藏率0.027%，低于中位数0.076%，排第1003。","implication":"在Meta的31条帖子中排第12，浏览量排第8，但收藏率垫底，互动与传播脱节。"}},"lane":"en:amd/DeepSeek-V4.1-Flash zh:amd/DeepSeek-V4-Flash","checkedAt":"2026-10-13T19:53:08.519Z"}}