Both agents work on the same refactor task in the same repo, making the comparison easy to follow.
Same task. Same pass. Half the wall time.
Two coding agents refactor the same Momento repo task live. Opus 4.8 and GLM-5.2 both pass the tests. GLM-5.2 on Baseten finishes 2.1x faster, costs 2.9x less, and emits far fewer output tokens.
The race, with the finish held long enough to read.
The animation pauses on the final frame for 10 seconds so the takeaway is legible: both pass, but GLM-5.2 reaches the finish with dramatically less time and spend.
The GLM-5.2 run produces materially fewer output tokens, which lowers cost and reduces review noise.
The important quality bar is not speed alone. Both runs pass the task validation.
For a passing result, GLM-5.2 finishes 2.1x faster and 2.9x cheaper.
Passing code at a better operating point.
The high-level story is simple: the task passes on both models, but GLM-5.2 on Baseten uses less time, less money, and fewer generated tokens.
For agentic coding, the backend should make the same pass cheaper and faster.
Maude can route coding-agent work through the model lane that fits the job, while keeping the workflow familiar for developers and measurable for the team.
PASS both agents complete the task
2.1x faster wall-clock finish
2.9x cheaper total run
27k output tokens instead of 89k