模型多源确认
DeepSWE测试显示DeepSeek V4.1-Flash输入token占比远高于输出
精选理由
DeepSWE测试发现DeepSeek V4.1-Flash的输入token消耗远高于输出，缓存命中率高，能大幅降低成本。
DeepSWE测试对比Astra和DeepSeek V4.1-Flash，输入token数量是输出的174倍。99.6%的请求是缓存命中，占60%的费用。最终任务质量相同，但成本从$6.52降至$0.43。
原文 · Fireworks AI
Many assume that agent spend goes toward output tokens. When we ran DeepSWE on Astra vs. DeepSeek V4.1-Flash, input tokens outnumbered output 174 to 1. 99.6% were cache hits. Those hits are 60% of the bill. Net result? Same quality. $0.43/task vs $6.52. x.com/i/article/2099… 💬 1 🔄 0 ❤️ 13 👀 756 📊 3 ⚡
