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$AI UNVEILS SWE-2: 5โ6% CODING EDGE AT 64% LOWER COST ๐ฅ
๐ SWE-2 builds directly on Moonshot AIโs 2.8Tโparameter KimiโฏK3, leveraging reinforced learning to lift multiple benchmark scores by 5โ6โฏpercentage points. On Cognitionโs FrontierCodeโฏ1.1 Main it hits 50.0โฏ%, nudging past GPTโ5.6โฏSol (47.5โฏ%) and Grokโฏ4.6 (48.0โฏ%). โก The model trims interaction turns by 58โฏ% and slashes average costs by 81โฏ%, delivering a quarterโprice punch versus GPTโ6โฏAstraโs 53.3โฏ% score.
๐ Yet on the tougher TerminalโBenchโฏ4, SWEโ2 lags at 27.3โฏ% against Astraโs 57.9โฏ% and Fableโฏ5.1โs 55.8โฏ%, signaling room for frontier gains. ๐
๐ฌ Which deployment will you target first to capitalize on SWEโ2โs costโefficiency advantage? ๐
โ ๏ธ Not financial advice. Always manage your risk. ๐ก๏ธ
๐ท๏ธ
#AI #CodingModel #Efficiency #Benchmark #Tech ๐ฅ ๐