I gave Qwen 3.8 27B a reverse-engineering job and it finished in 30 minutes
In a recent XDA article, the author recounts assigning a reverse-engineering task to Qwen 3.8 27B, a model they initially believed would need a frontier model to complete. Contrary to their expectations, the model finished the job in just 30 minutes. The author's experience highlights the capability of smaller, more accessible models to perform complex technical work, potentially reducing the need for expensive, high-end AI systems. The article does not provide specific details about the task's complexity or the model's performance metrics, but the successful completion within a short timeframe serves as a notable example of the model's efficiency. This anecdote may encourage developers to consider mid-sized models for tasks traditionally reserved for larger, more resource-intensive models.
Shows smaller models can handle complex tasks, potentially lowering costs for developers.