Jan團隊發佈300億參數多模態大模型Jan-v2-VL-Max，專爲長週期、高穩定性自動化任務設計，性能超越谷歌Gemini2.5Pro與DeepSeek R1。該模型重點解決多步任務中的“誤差累積”和“失焦”問題，爲開源智能體生態提供強大支持。
Jan團隊推出30B參數多模態模型Jan-v2-VL-Max，專注解決AI在複雜自動化任務中易中斷的痛點。該模型基於Qwen3-VL-30B-A3B-Thinking，引入LoRA-based RLVR技術，旨在提升多步操作的穩定性，實現更可靠的長週期任務執行。
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