DeepSWE-mini a 16 instance subset of DeepSWE that replicates the rankings of the leaderboard

Reddit r/LocalLLaMA Tools

Summary

Released a new dataset called DeepSWE-mini, a 16-instance subset of DeepSWE designed for efficient benchmarking of local AI models by replicating leaderboard rankings.

I just released a new dataset https://huggingface.co/datasets/LocalLLaMA/deepswe-mini it is meant to be more efficent when testing and benchmarking local models on DeepSwe https://deepswe.datacurve.ai/ The full benchmark takes a while to run so we analyzed it and selected a subset that can faithfully replicate the relative ranking (not absolute scores) of models. You can use it to quicikly benchmark a new model locally.
Original Article

Similar Articles

Someone did an audit on the new DeepSWE, the results aren't pretty

Reddit r/singularity

DeepSWE is a new benchmark for evaluating AI coding agents on real-world software engineering tasks from active open-source repositories, comprising 113 tasks across TypeScript, Go, Python, JavaScript, and Rust with isolated environments and program-based verifiers.

DeepSWE for GPT-5.6

Reddit r/singularity

DeepSWE is a specialized variant of GPT-5.6 tailored for software engineering tasks.

Real-SWE Benchmark (new)

Reddit r/LocalLLaMA

Real-SWE is a new benchmark that evaluates frontier AI models on private, real-world enterprise codebases, focusing on complex software engineering tasks with business context.