Kimi K2.7 in Hex: Opus-level Analytics at a Fraction of the Cost

What this post added

This post introduces Kimi K2.7 as a new, cost-effective open-weight model for analytics within Hex. It details the evaluation methodology comparing Kimi K2.7 against Opus 4.7, presenting quantitative results on runtime, cost per task, and success rates across different evaluation sets (semantically modeled, semantically unmodeled, core visualization, analytically hard, contextually hard). It discusses the tradeoffs of open-weight models, specifically Kimi K2.7's tendency for more turns and validation in analytically hard tasks, and its limitations in context window size and visualization efficiency. The post also touches on the future potential of hosting and configuring open-weight models.