Unverified85% confidenceFactTime unknown
本次测评共进行了30次测试，耗时约两小时，消耗约5元人民币的DeepSeek API费用
1
Sources
85%
Confidence
Medium-term (~90 days)
Relevance
5/31/2026
First Seen
Valid until: 8/29/2026
Sources
Codex vs Claude Code搭配DeepSeek实测：速度差5.7倍，稳定性40vs100
bilibili王亮不开发
Related Entities
Related Claims
Unverified使用Factifai完成一次典型端到端测试场景（如购物流程）需要15-30次截图分析，单次测试运行成本约为0.3-0.9美元64% similarUnverifiedGLM-4.6完成测试任务耗时4分钟，总成本$0.14，是三款模型中最贵的64% similarUnverifiedUP主使用 Kimi 模型测试堆叠切片游戏，用两个提示词耗时约2小时17分，进行325次模型调用，API成本约9-10美元63% similarUnverifiedThe total API costs for the three-task stress test were approximately ten dollars63% similarUnverifiedBased on hands-on testing, 6 Backboard analyses cost approximately $1.22.62% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/6030API
curl https://kongchang.com/api/v1/knowledge/claims/6030MCP
get_claim(id=6030)