{"id":"2dd2498790f9","page":"/c/2dd2498790f9/","topic":"AI Model Performance vs Size","publisher":"Qwen","official":true,"platform":"X","publishedAt":"2026-02-03T16:09:19.000Z","model":"Qwen Coder","form":"scatter","metrics":{"views":1527803,"likes":5537,"reposts":781,"quotes":299,"replies":209,"saves":2445},"readAt":"2026-10-13T18:02:14.803Z","chartsInPost":1,"score":82,"scoreWeights":{"views":0.4,"likes":0.3,"eng":0.15,"save":0.15},"quadrant":"wide","ranks":{"score":{"industry":{"n":29,"of":1162},"company":{"n":13,"of":55}},"views":{"industry":{"n":74,"of":1162},"company":{"n":10,"of":55}},"likes":{"industry":{"n":55,"of":1162},"company":{"n":11,"of":55}},"eng":{"industry":{"n":898,"of":1162},"company":{"n":45,"of":55}},"save":{"industry":{"n":192,"of":1162},"company":{"n":16,"of":55}}},"percentiles":{"industry":{"views":0.9367469879518072,"likes":0.9530981067125646,"eng":0.22762478485370052,"save":0.8351979345955249},"company":{"views":0.8272727272727273,"likes":0.8090909090909091,"eng":0.19090909090909092,"save":0.7181818181818181}},"peers":{"industry":1162,"company":55,"companyName":"Qwen"},"medians":{"industry":{"views":39945,"likes":289,"eng":0.007331788144862199,"save":0.0007642791742968587},"company":{"views":275270,"likes":1847,"eng":0.006292654588099879,"save":0.0012566418854164894},"form":{"n":187,"views":22414,"eng":0.007772795216741405}},"ratios":{"vsCompanyViews":5.550197987430523,"vsCompanyLikes":2.997834325933947,"viewsPerFollower":5.150256534724891,"viewsPerDay":6060.824159018631},"followers":296646,"reads":[{"at":"2026-10-10T21:54:49.639Z","views":1527741,"likes":5537,"reposts":781,"quotes":299,"replies":209,"saves":2447,"source":"chart-os"},{"at":"2026-10-12T15:01:34.533Z","views":1527754,"likes":5535,"reposts":781,"quotes":299,"replies":209,"saves":2446,"source":"x-search-cache"},{"at":"2026-10-12T20:25:56.152Z","views":1527755,"likes":5536,"reposts":781,"quotes":299,"replies":209,"saves":2445,"source":"x-search-cache"},{"at":"2026-10-13T18:02:14.803Z","views":1527803,"likes":5537,"reposts":781,"quotes":299,"replies":209,"saves":2445,"source":"bird-read"}],"chartData":"/api/charts/3baae4407d91.json","copy":{"en":{"why":[{"factor":"reach-vs-company","text":"Its 1.5M views sit 5.6x above Qwen's 275K median post, at #10 of 55 Qwen posts."},{"factor":"rank","text":"A score of 82 places it #29 of 1,162 AI chart posts and #13 of 55 Qwen posts."},{"factor":"views-per-follower","text":"At 5.15 views per follower it reaches the 93rd percentile, 26x the 0.20 median across posts with known followers."}],"verdict":"The post sits in the Wide but thin quadrant, with a score rank of #29 of 1,162 AI chart posts.","news":{"headline":"Qwen scatter plot of AI model performance vs size draws 1.5M views","dek":"A single scatter plot from Qwen on February 3, 2026 drew 1.5M views and a 0.45% engagement rate, landing in the Wide but thin quadrant.","what":"Qwen posted a scatter plot on AI model performance vs size on February 3, 2026. That day the account posted 2 posts, the other on performance on coding agent benchmarks at 45.6K views.","numbers":"The post drew 1.5M views, #74 of 1,162 AI chart posts, against a median of 39.9K views among AI chart posts. Its score of 82 ranks #29 of 1,162 AI chart posts and #13 of 55 Qwen posts.","lesson":"One scatter plot with 7 models shown drew 1.5M views, but a 0.16% save rate against a 0.45% engagement rate shows wide reach with thin saving. The chart shows SWE-Bench Pro Performance (%) values of 44.5%, 42.2% and 41%.","implication":"At #13 of 55 Qwen posts by score and #10 of 55 by views, this chart post sits above the account's own median of 275K views. The 0.16% save rate against the 0.45% engagement rate marks the gap between reach and saving for this publisher's chart posts."}},"zh":{"why":[{"factor":"reach-vs-company","text":"浏览量153万，是Qwen中位数27.5万的5.6倍，在55条帖子中排第10。"},{"factor":"rank","text":"综合得分82，在1162条AI图表帖中排第29，在Qwen的55条帖子中排第13。"},{"factor":"views-per-follower","text":"每粉丝浏览量5.15，是已知粉丝帖子中位数0.20的26倍，位于第93百分位。"}],"verdict":"传得远，互动偏少，综合得分在1162条AI图表帖中排第29。","news":{"headline":"Qwen发布AI模型性能对比散点图","dek":"浏览量153万，互动率仅0.45%。","what":"Qwen于2026年1月13日发布1张散点图，展示7个AI模型的性能与规模对比，当日另有1条关于编码基准的帖子。","numbers":"浏览量153万，在1162条AI图表帖中排第74，高于中位数4万。互动率0.45%，收藏率0.16%。","lesson":"散点图展示7个模型，浏览量达153万，是Qwen中位数27.5万的5.6倍。高浏览量但互动率仅0.45%，低于中位数。","implication":"在Qwen的55条帖子中浏览量排第10，但互动率偏低，说明此类对比图吸引浏览但未引发点赞。后续可考虑增加互动元素。"}},"lane":"en:amd/DeepSeek-V4.1-Flash zh:amd/DeepSeek-V4-Flash","checkedAt":"2026-10-13T20:59:21.763Z"}}