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🚀 $AI UNVEILS SWE-2: 5‑6% CODING EDGE AT 64% LOWER COST 💥
📊 SWE-2 builds directly on Moonshot AI’s 2.8T‑parameter Kimi K3, leveraging reinforced learning to lift multiple benchmark scores by 5‑6 percentage points. On Cognition’s FrontierCode 1.1 Main it hits 50.0 %, nudging past GPT‑5.6 Sol (47.5 %) and Grok 4.6 (48.0 %). ⚡ The model trims interaction turns by 58 % and slashes average costs by 81 %, delivering a quarter‑price punch versus GPT‑6 Astra’s 53.3 % score.
🔍 Yet on the tougher Terminal‑Bench 4, SWE‑2 lags at 27.3 % against Astra’s 57.9 % and Fable 5.1’s 55.8 %, signaling room for frontier gains. 📈
💬 Which deployment will you target first to capitalize on SWE‑2’s cost‑efficiency advantage? 👇
⚠️ Not financial advice. Always manage your risk. 🛡️
🏷️ #AI #CodingModel #Efficiency #Benchmark #Tech
🔥 💎
🚀 $AI UNVEILS SWE-2: 5‑6% CODING EDGE AT 64% LOWER COST 💥
📊 SWE-2 builds directly on Moonshot AI’s 2.8T‑parameter Kimi K3, leveraging reinforced learning to lift multiple benchmark scores by 5‑6 percentage points. On Cognition’s FrontierCode 1.1 Main it hits 50.0 %, nudging past GPT‑5.6 Sol (47.5 %) and Grok 4.6 (48.0 %). ⚡ The model trims interaction turns by 58 % and slashes average costs by 81 %, delivering a quarter‑price punch versus GPT‑6 Astra’s 53.3 % score.
🔍 Yet on the tougher Terminal‑Bench 4, SWE‑2 lags at 27.3 % against Astra’s 57.9 % and Fable 5.1’s 55.8 %, signaling room for frontier gains. 📈
💬 Which deployment will you target first to capitalize on SWE‑2’s cost‑efficiency advantage? 👇
⚠️ Not financial advice. Always manage your risk. 🛡️
🏷️ #AI #CodingModel #Efficiency #Benchmark #Tech
🔥 💎
📊 SWE-2 builds directly on Moonshot AI’s 2.8T‑parameter Kimi K3, leveraging reinforced learning to lift multiple benchmark scores by 5‑6 percentage points. On Cognition’s FrontierCode 1.1 Main it hits 50.0 %, nudging past GPT‑5.6 Sol (47.5 %) and Grok 4.6 (48.0 %). ⚡ The model trims interaction turns by 58 % and slashes average costs by 81 %, delivering a quarter‑price punch versus GPT‑6 Astra’s 53.3 % score.
🔍 Yet on the tougher Terminal‑Bench 4, SWE‑2 lags at 27.3 % against Astra’s 57.9 % and Fable 5.1’s 55.8 %, signaling room for frontier gains. 📈
💬 Which deployment will you target first to capitalize on SWE‑2’s cost‑efficiency advantage? 👇
⚠️ Not financial advice. Always manage your risk. 🛡️
🏷️ #AI #CodingModel #Efficiency #Benchmark #Tech
🔥 💎
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