DeepSeek 发布 V4.1 Flash 模型，称其为新架构家族中最小模型
DeepSeek V4.1 Flash is here, and DeepSeek calls it "the smallest model in our new architecture famil...
DeepSeek 新发布的 V4.1 Flash 模型，比 V4-Pro 小三分之一，但在很多测试里还比它强，价格也便宜很多，值得看看。
DeepSeek V4.1 Flash 模型发布，是该公司新架构家族中最小的模型。该模型在多个代理、编程和网络安全基准测试中击败了 GPT-5.6 Sol 和 Claude Opus 5。Flash 模型是 DeepSeek V4-Pro 模型大小的三分之一，但在几乎所有基准测试中都优于后者。其成本为每百万输入令牌 0.15 美元，每百万输出令牌 0.60 美元。
DeepSeek V4.1 Flash is here, and DeepSeek calls it "the smallest model in our new architecture famil...
DeepSeek V4.1 Flash is here, and DeepSeek calls it "the smallest model in our new architecture family," with a V4.1-Pro still to come. It beats GPT-5.6 Sol and Claude Opus 5 on several agentic, coding, and cyber benchmarks. Flash is a third the size of DeepSeek's V4-Pro, but beats it on almost every benchmark in the table. Cost: $0.15 per million input tokens, $0.60 per million output. Pretty wild scores at that size and bottom-barrel prices, and the bigger models in the family are still on the way. 💬 5 🔄 1 ❤️ 8 👀 1874 📊 5 ⚡
