今日，開源模型Step3.7Flash正式發佈，以Apache2.0協議開放權重，直擊Agent時代效率、可靠性與多模態執行等核心痛點。在多項基準測試中表現突出：ClawEval-1.1獲67.1分排名第一，SimpleVQA Search得79.2分居首，SWE-PRO以56.3分位列第二，V* Python得分高達95.3，展現了在Agent任務、代碼生成及視覺執行等領域的實戰能力。
階躍星辰推出Step Plan月度訂閱方案，針對AI編程工具用戶，旨在平衡高頻任務與算力成本。該方案接入Step3.5Flash模型，爲重度依賴AI編程和Agent任務的開發者提供更具性價比的算力支持。
階躍星辰開源Step3.5Flash模型全鏈路，包括預訓練、中訓練權重及訓練框架。該模型專爲智能體設計，採用稀疏MoE架構，總參數量1960億，推理時僅激活約110億參數，能效比高，單請求代碼任務推理速度最高達350TP。
階躍星辰發佈開源基座模型Step3.5Flash，專爲智能體場景設計，具備強大推理能力和極速響應，旨在成爲更聰明、穩定且成本可控的“Agent大腦”。該輕量化模型在推理速度上表現突出，最高可達350TPS，尤其在代碼任務中優勢顯著。
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