AI & Machine Learning

I routed two weeks of coding to a model 25x cheaper than Opus. The model wasn't the slow part.

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A recent experiment found that using a smaller, less expensive model (MiMo-V2.6-Pro) to implement code changes, while leveraging Claude for planning and review, resulted in significant cost savings – approximately 25 times cheaper than using Claude Opus. While the implementation process wasn't instantaneous, the primary bottleneck wasn't the model's speed, but rather inefficiencies in the orchestration pipeline. This highlights the importance of optimizing the entire workflow, not just the model itself, for those integrating AI into software development processes.

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