{"id":"92e97c7bf785","page":"/c/92e97c7bf785/","topic":"Cost per token API","publisher":"@ArtificialAnlys","official":false,"platform":"X","publishedAt":"2026-09-03T01:07:36.000Z","model":"Muse Spark","form":"bar","metrics":{"views":11426,"likes":43,"reposts":0,"quotes":3,"replies":2,"saves":3},"readAt":"2026-10-12T21:30:08.589Z","chartsInPost":3,"score":24,"scoreWeights":{"views":0.4,"likes":0.3,"eng":0.15,"save":0.15},"quadrant":"quiet","ranks":{"score":{"industry":{"n":1009,"of":1162},"company":{"n":378,"of":491}},"views":{"industry":{"n":796,"of":1162},"company":{"n":245,"of":491}},"likes":{"industry":{"n":893,"of":1162},"company":{"n":304,"of":491}},"eng":{"industry":{"n":931,"of":1162},"company":{"n":417,"of":491}},"save":{"industry":{"n":1010,"of":1162},"company":{"n":415,"of":491}}},"percentiles":{"industry":{"views":0.31540447504302926,"likes":0.2302065404475043,"eng":0.19922547332185886,"save":0.13123924268502582},"company":{"views":0.5020366598778004,"likes":0.37780040733197556,"eng":0.15173116089613034,"save":0.15580448065173116}},"peers":{"industry":1162,"company":491,"companyName":"@artificialanlys"},"medians":{"industry":{"views":39945,"likes":289,"eng":0.007331788144862199,"save":0.0007642791742968587},"company":{"views":11425,"likes":78,"eng":0.008185850825444735,"save":0.0007598784194528875},"form":{"n":187,"views":22414,"eng":0.007772795216741405}},"ratios":{"vsCompanyViews":1.0000875273522976,"vsCompanyLikes":0.5512820512820513,"viewsPerFollower":null,"viewsPerDay":286.73249906317545},"followers":null,"reads":[{"at":"2026-10-12T14:56:40.659Z","views":11426,"likes":43,"reposts":0,"quotes":3,"replies":2,"saves":3,"source":"x-search-cache"},{"at":"2026-10-12T15:08:42.451Z","views":11426,"likes":43,"reposts":0,"quotes":3,"replies":2,"saves":3,"source":"x-search-cache"},{"at":"2026-10-12T20:17:56.286Z","views":11429,"likes":43,"reposts":0,"quotes":3,"replies":2,"saves":3,"source":"x-search-cache"},{"at":"2026-10-12T20:50:05.698Z","views":11429,"likes":43,"reposts":0,"quotes":3,"replies":2,"saves":3,"source":"x-search-cache"}],"chartData":"/api/charts/92e97c7bf785.json","copy":{"en":{"why":[{"factor":"saves","text":"Its 0.026% save rate sits at the 13th percentile among AI chart posts, below the 0.076% median."},{"factor":"rank","text":"At #1,009 of 1,162 AI chart posts, its score of 24 lands in the bottom of the field."},{"factor":"launch-day","text":"On a day the account posted 5 times, this post ranked #5 of 5 by views."}],"verdict":"It sits in the Quiet quadrant, at #1,009 of 1,162 AI chart posts.","news":{"headline":"@ArtificialAnlys posts cost per token API bar chart","dek":"A 15-model bar chart on API cost per token drew 11.4K views and a 0.026% save rate, below the AI chart median.","what":"On September 3, 2026, @ArtificialAnlys published a bar chart on cost per token API, one of 3 charts in the post. The account posted 5 times that day, including AI Coding Agent Index and Intelligence Index vs Output Tokens.","numbers":"It reached 11.4K views, #796 of 1,162 AI chart posts, against a median of 39.9K. Its score of 24 ranks #1,009 of 1,162 AI chart posts and #378 of 491 @ArtificialAnlys posts.","lesson":"A 0.026% save rate against the 0.076% median among AI chart posts shows this 15-model bar chart was not kept for citation. The chart shows cost per token API varies widely across models, but the save rate stayed at the 13th percentile.","implication":"At #378 of 491 @ArtificialAnlys posts, this chart sits below the account's own body of work. The gap from 11.4K views to the 39.9K median among AI chart posts is the distance to close."}},"zh":{"why":[{"factor":"saves","text":"收藏率0.026%，低于AI图表帖中位数0.076%，排第13百分位。"},{"factor":"rank","text":"综合得分24分，在1162条AI图表帖中排第1009，低于中位水平。"},{"factor":"launch-day","text":"发布当天5条帖子中浏览量排第5，落后于同账号其他帖子。"}],"verdict":"安静象限：浏览量和互动率均低于AI图表帖中位数，得分排第1009。","news":{"headline":"@ArtificialAnlys成本帖浏览量1.1万","dek":"API成本对比图，浏览与互动均低于中位。","what":"2026年9月3日发布，含3张图表，主题为每token API成本，对比15个模型。同天另有4条帖子，其中AI Coding Agent Index浏览量167万。","numbers":"浏览量1.1万，在1162条AI图表帖中排第796；互动率0.42%，收藏率0.026%。","lesson":"收藏率低于中位数，排第13百分位；综合得分24分，在@ArtificialAnlys的491条帖子中排第378。","implication":"该帖在@ArtificialAnlys的帖子中排名靠后，且当天5条帖子中浏览量最低，表现弱于同账号其他内容。"}},"lane":"en:amd/DeepSeek-V4.1-Flash zh:amd/DeepSeek-V4-Flash","checkedAt":"2026-10-13T20:22:26.132Z"}}