DeepSWE AI Coding Model Benchmark Finally Solves AI Training Data Contamination

DataCurve launched DeepSWE, a new AI coding benchmark built from handcrafted, contamination-free tasks.

The benchmark draws from 91 open source repositories across five languages: TypeScript, Go, Python, JavaScript, and Rust.

It uses verification checks to reduce errors and better measure real-world coding performance.

GPT 5.5 came out as the strongest overall model in the benchmark.

DeepSWE aims to make coding model comparisons more trustworthy by reducing data leakage from training sets.