[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"branding":3,"analytics":7,"article-metas-muse-ember-undercuts-haiku-and-luna-on-input-price":10,"sections":43},{"siteName":4,"siteTagline":5,"publisherName":4,"contactEmail":6},"The Revision","Tech news, decoded.","editor@therevision.news",{"gaMeasurementId":8,"adsenseClientId":9},"G-ZW2MV82GYR","ca-pub-8533917693782264",{"article":11},{"id":12,"slug":13,"title":14,"dek":15,"body_md":16,"tags_json":17,"published_at":18,"created_at":19,"updated_at":20,"status":21,"review_note":22,"review_notes":23,"image_url":22,"persona_id":22,"persona_name":22,"section":30,"tags":31,"sources":35,"feedback":42,"feedback_at":22,"cost_usd":42,"total_tokens":42},12647,"metas-muse-ember-undercuts-haiku-and-luna-on-input-price","Meta's Muse Ember Undercuts Haiku and Luna on Input Price","Meta's lightweight Muse Ember model for running agents costs 10 cents per million input tokens, well below Haiku and Luna.","Meta has released Muse Ember, a lightweight model built for agent execution, and the headline number is its price: 10 cents per million input tokens.\n\nA token is a small chunk of text, roughly a word fragment, and input tokens are the ones you send to the model. At that rate, Ember is significantly cheaper than frontier competitors like Haiku and Luna, according to coverage of the launch. That is the one comparison on offer, and it covers input pricing only.\n\nThe focus on agents explains why that line matters. An agent is software that works through a task in many steps, calling a model repeatedly along the way. Each call typically resends instructions, tool descriptions and earlier results, so input tokens tend to pile up faster than the text the model writes back. A low input price is therefore the right number to lead with for this kind of work.\n\nIt is not the whole bill, though. Total cost depends on output pricing, how many steps a task takes, and how often the model finishes the job without a retry. A cheap model that needs three attempts can cost more than a pricier one that needs one.\n\nThe pairing of \"lightweight\" with \"agent execution\" also suggests a division of labor: a smaller model carrying out steps, with larger ones reserved for harder reasoning. Whether Ember holds up on that job is a question for real workloads, not a price list.","[\"meta\",\"ai-agents\",\"llm-pricing\"]","2026-11-09T18:00:00.000Z","2026-11-09T18:37:01.310Z","2026-11-09T18:37:03.415Z","published",null,[24],{"id":25,"reviewer":26,"round":27,"reason":28,"status":29},"editor-r1","editor",1,"Remove the unsupported date 'November 9', which appears nowhere in the source; also cut the unverifiable claim that 'nobody has published' cost-per-task for Ember and the meta phrasing 'the material gives no...', and keep only what the single TechCrunch line supports (10 cents per million input tokens, significantly cheaper than Haiku and Luna).","resolved","ai",[32,33,34],"meta","ai-agents","llm-pricing",[36,39],{"name":37,"url":38},"TechCrunch","https:\u002F\u002Ftechcrunch.com\u002F2026\u002F11\u002F09\u002Fmeta-releases-muse-ember-a-new-lightweight-model-for-agent-execution\u002F",{"name":40,"url":41},"The Next Web","https:\u002F\u002Fthenextweb.com\u002Fnews\u002Fmeta-muse-ember-small-ai-model-haiku-luna",0,{"sections":44},[45,49,54,59,64,69,74,79,84,89,94,99,104,109],{"name":46,"slug":30,"count":47,"latest_published_at":48},"AI",7144,"2026-11-12T13:27:45.000Z",{"name":50,"slug":51,"count":52,"latest_published_at":53},"Security","security",1128,"2026-11-11T18:05:00.000Z",{"name":55,"slug":56,"count":57,"latest_published_at":58},"Deals","deals",642,"2026-11-12T14:00:00.000Z",{"name":60,"slug":61,"count":62,"latest_published_at":63},"Policy","policy",619,"2026-11-12T12:53:36.000Z",{"name":65,"slug":66,"count":67,"latest_published_at":68},"Consumer Tech","consumer-tech",364,"2026-11-12T11:12:32.000Z",{"name":70,"slug":71,"count":72,"latest_published_at":73},"Hardware","hardware",336,"2026-11-12T11:24:43.000Z",{"name":75,"slug":76,"count":77,"latest_published_at":78},"Science","science",230,"2026-11-12T10:00:00.000Z",{"name":80,"slug":81,"count":82,"latest_published_at":83},"Software","software",168,"2026-11-11T17:36:49.000Z",{"name":85,"slug":86,"count":87,"latest_published_at":88},"Startups","startups",159,"2026-11-11T12:30:00.000Z",{"name":90,"slug":91,"count":92,"latest_published_at":93},"Dev Tools","dev-tools",127,"2026-11-11T19:00:44.000Z",{"name":95,"slug":96,"count":97,"latest_published_at":98},"General","general",118,"2026-11-11T16:49:42.000Z",{"name":100,"slug":101,"count":102,"latest_published_at":103},"Gaming","gaming",107,"2026-11-12T10:09:03.000Z",{"name":105,"slug":106,"count":107,"latest_published_at":108},"Reviews","reviews",38,"2026-10-20T12:00:00.000Z",{"name":110,"slug":111,"count":112,"latest_published_at":113},"How-To","how-to",8,"2026-10-05T09:00:00.000Z"]