在Alpha Arena 1.5賽季中，xAI的Grok4.20模型以12.11%的回報率奪冠，將1萬美元在14天內增值至12,193美元，成爲唯一盈利的大型語言模型。同期GPT-51和Gemini3.0分別虧損3.4%和5.7%。比賽採用無人干預規則，模型需在“苦行僧模式”（高槓杆限制）和“情境感知模式”（可查看對手持倉）下自動交易。
馬斯克旗下xAI開放Grok-1Fast模型及新API，卻因AI在社交平臺過度吹捧其“運動能力超越泰森”遭羣嘲，技術發佈被輿論爭議淹沒。
埃隆・馬斯克的xAI公司推出Grok4.1升級版，包含Grok4.1和Grok4.1Thinking兩款免費模型，付費用戶限制更少。新模型顯著降低內容生成中的“幻覺”概率達三倍，被譽爲其最佳版本之一。
xAI發佈Grok4.1，響應延遲降低42%，意圖識別準確率提升18%，對話連貫性優化。基於Grok-4MoE架構，新增實時反饋層與個性化緩存，實現“秒回”體驗。面向X Premium+用戶無限使用，API定價維持每百萬token 5美元。MT-Bench得分8.97，HumanEval代碼生成通過率87.1%，多輪對話一致性達91.4%，刷新多項基準紀錄。
Xai
$1.4
輸入tokens/百萬
$3.5
輸出tokens/百萬
2k
上下文長度
$10.5
256
$21
$105
-
$2.1
128
$14
$70
%20--%3e%3cdefs%3e%3cstyle%3e%20.st0%20{%20fill:%20%23061b40;%20}%20.st1%20{%20fill:%20%23306af1;%20}%20.st2%20{%20fill:%20%235ce5cf;%20}%20%3c/style%3e%3c/defs%3e%3cg%3e%3cpath%20class='st0'%20d='M55,10.5h9v3h-9v9h12V7.5h-12v3ZM64,19.5h-6v-3h6v3Z'/%3e%3cpolygon%20class='st0'%20points='69%2016.5%2078%2016.5%2078%2019.5%2069%2019.5%2069%2022.5%2081%2022.5%2081%2013.5%2072%2013.5%2072%2010.5%2081%2010.5%2081%207.5%2069%207.5%2069%2016.5'/%3e%3cpolygon%20class='st0'%20points='95%2010.5%2095%207.5%2083%207.5%2083%2022.5%2095%2022.5%2095%2019.5%2086%2019.5%2086%2016.5%2095%2016.5%2095%2013.5%2086%2013.5%2086%2010.5%2095%2010.5'/%3e%3cpath%20class='st0'%20d='M40,1.5v21h11.6l1.4-1.4v-7.6h0c0,0-1.4-1.5-1.4-1.5l1.4-1.4V2.9l-1.4-1.4h-11.6ZM50,19.5h-7v-6h7v6ZM50,10.5h-7v-6h7v6Z'/%3e%3c/g%3e%3cpath%20class='st1'%20d='M23.1,24L14.7,4.8l-4.9,11.2h3.8l-1.8,4H3.3L12.1,0H2C.9,0,0,.9,0,2v20c0,1.1.9,2,2,2h21.1Z'/%3e%3cpath%20class='st2'%20d='M34,0h-16.8l10.6,24h6.2c1.1,0,2-.9,2-2V2C36,.9,35.1,0,34,0ZM32.5,20h-4V4h4v16Z'/%3e%3c/svg%3e)
