{"id":"707f29fceed5","page":"/c/707f29fceed5/","topic":"AI Model Benchmark Performance Comparison","publisher":"Qwen","official":true,"platform":"X","publishedAt":"2026-05-21T13:15:32.000Z","model":"Qwen app and Qwen Chat","form":"small-multiples","metrics":{"views":1159954,"likes":4873,"reposts":604,"quotes":287,"replies":277,"saves":1039},"readAt":"2026-10-13T18:11:42.681Z","chartsInPost":1,"score":78,"scoreWeights":{"views":0.4,"likes":0.3,"eng":0.15,"save":0.15},"quadrant":"wide","ranks":{"score":{"industry":{"n":75,"of":1162},"company":{"n":24,"of":55}},"views":{"industry":{"n":97,"of":1162},"company":{"n":12,"of":55}},"likes":{"industry":{"n":67,"of":1162},"company":{"n":14,"of":55}},"eng":{"industry":{"n":810,"of":1162},"company":{"n":37,"of":55}},"save":{"industry":{"n":499,"of":1162},"company":{"n":40,"of":55}}},"percentiles":{"industry":{"views":0.9169535283993115,"likes":0.9427710843373494,"eng":0.30335628227194494,"save":0.5709982788296041},"company":{"views":0.7909090909090909,"likes":0.7545454545454545,"eng":0.33636363636363636,"save":0.2818181818181818}},"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":43,"views":27011,"eng":0.00627905541613527}},"ratios":{"vsCompanyViews":4.213877284121045,"vsCompanyLikes":2.638332430969139,"viewsPerFollower":3.9102297013949285,"viewsPerDay":7988.351465070112},"followers":296646,"reads":[{"at":"2026-10-10T21:54:29.848Z","views":1159863,"likes":4879,"reposts":604,"quotes":287,"replies":277,"saves":1040,"source":"chart-os"},{"at":"2026-10-12T20:25:56.152Z","views":1159928,"likes":4876,"reposts":604,"quotes":287,"replies":277,"saves":1040,"source":"x-search-cache"},{"at":"2026-10-12T21:04:45.739Z","views":1159928,"likes":4876,"reposts":604,"quotes":287,"replies":277,"saves":1040,"source":"x-search-cache"},{"at":"2026-10-13T18:11:42.681Z","views":1159954,"likes":4873,"reposts":604,"quotes":287,"replies":277,"saves":1039,"source":"bird-read"}],"chartData":"/api/charts/707f29fceed5.json","copy":{"en":{"why":[{"factor":"rank","text":"Its score of 78 lands at #75 of 1,162 AI chart posts and #24 of 55 Qwen posts."},{"factor":"views-per-follower","text":"At 3.91 views per follower, it sits in the top decile, against a median of 0.20 across posts with known followers."},{"factor":"reach-vs-company","text":"Its 1.2M views are 4.2x the company median of 275K, ranking #12 of 55 Qwen posts by views."}],"verdict":"The post sits in the Wide but thin quadrant, at #75 of 1,162 AI chart posts by score.","news":{"headline":"Qwen posts small multiples of AI model benchmark scores","dek":"A 1.2M-view chart of benchmark scores lands in the Wide but thin quadrant, with a 0.52% engagement rate.","what":"Qwen, an official account, posted a small multiples chart on May 21, 2026, showing AI model performance across multiple benchmarks. That day the account posted 3 posts, including ones on Average Ranking vs. Environment Scaling and Cross-Harness Generalization Performance.","numbers":"The post reached 1.2M views, ranking #97 of 1,162 AI chart posts by views and #12 of 55 Qwen posts. Its score of 78 ranks #75 of 1,162 AI chart posts.","lesson":"At 0.090%, the save rate trails the 0.52% engagement rate, so the small multiples chart drew views without matching saves. A 6-model comparison at 3.91 views per follower shows reach can outrun what readers keep.","implication":"At #24 of 55 Qwen posts by score, this chart sits below the account's own top ranks despite 4.2x the company median views. The 1.2M views against a 0.52% engagement rate mark a wide but thin result for this publisher."}},"zh":{"why":[{"factor":"rank","text":"综合得分78，在1162条AI图表帖中排第75，高于中位水平。"},{"factor":"views-per-follower","text":"浏览量116万，是Qwen中位数的4.2倍，在55条帖子中排第12。"},{"factor":"reach-vs-company","text":"每粉丝浏览量3.91，居第92百分位，进入前10%。"}],"verdict":"传得远，互动偏少：浏览量高但互动率低于中位数，综合排名第75。","news":{"headline":"Qwen模型基准对比帖浏览量116万","dek":"小倍数图展示6款模型在Terminal-Bench 2.0的得分。","what":"Qwen于2026年5月21日发布1张图表，对比6款模型的基准表现。同日另有2条帖子，分别获6.8万和2.4万浏览量。","numbers":"帖子浏览量116万，在1162条AI图表帖中排第97，高于中位数4万。互动率0.52%，收藏率0.090%。","lesson":"高浏览量但互动率低，属于传得远、互动偏少象限。综合得分78，在Qwen的55条帖子中排第24。","implication":"浏览量是公司中位数的4.2倍，但互动率低于AI图表帖中位数，说明传播广而参与弱。"}},"lane":"en:amd/DeepSeek-V4.1-Flash zh:amd/DeepSeek-V4-Flash","checkedAt":"2026-10-13T20:36:53.502Z"}}