ChainThink 消息,9 月 11 日,据 Artificial Analysis 测试,DeepSeek V4.1 Flash 综合智能指数 40 分,超过自家 V4 Pro 0813 的 36 分,但仍低于 Kimi K3 的 44 分和 GLM-5.3 的 45 分。
按该第三方榜单,DeepSeek 尚未夺回国产模型第一。成本与速度差距明显。
V4.1 Flash 完成一个 Intelligence Index 任务平均成本 0.27 美元,Kimi K3 与 GLM-5.3 均在 2 美元左右,相差约 7 倍;
输出速度为 197 Token/s,远高于两者的约 36 Token/s 和约 58 Token/s。Agent 表现仍是强项。
AutomationBench-AA 上 V4.1 Flash 拿到 69%,追平 GPT-6 Astra,并超过 GLM-5.3 的 62%;长上下文测试 AA-LCR 得分为 84%。
不过其输出长度偏高,AA 测试单任务平均输出约 8.9 万 Token,比 V4 Pro 多 62%,部分抵消了价格优势。

Disclaimer: Contains third-party opinions, does not constitute financial advice
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