Two new open-weight models dropped in December, claiming strong agentic coding capabilities: GLM 4.7 from z.AI and MiniMax M2.1. We ran both through a multi-phase coding test in Kilo Code to see how they handle real implementation work.
Great breakdown of the planning vs implentation divide. MiniMax's self-debugging on Commander.js reveals real agentic potential that a benchmark score can't capture. The tradeoff between comprehensive docs and cost-efficiency feels like it'll define which teams pick which model going forward. Worth watching how this 6-point gap affects actualproduction usage over time.
Great breakdown of the planning vs implentation divide. MiniMax's self-debugging on Commander.js reveals real agentic potential that a benchmark score can't capture. The tradeoff between comprehensive docs and cost-efficiency feels like it'll define which teams pick which model going forward. Worth watching how this 6-point gap affects actualproduction usage over time.
Thanks!