13 Models and 4 Agents on SWE Tasks: Go, Java, Python, Rust, TS

13 Models and 4 Agents on SWE Tasks: Go, Java, Python, Rust, TS(swe-rebench.com)

20 points by ibragim_bad 2 hours ago | 6 comments

sathish316 54 minutes ago |

What does it mean when Fable 5 is 1st place and Opus 5 is 3rd place, while Claude code is 7th place? Which model and effort is used for Claude in 7th place, compared to 1st and 3rd?

goldenarm 20 minutes ago |

Why are models better than agents, isn't it supposed to be the opposite? I don't understand the difference and what you are measuring.

dia80 1 hour ago |

Why test Fable high effort vs Sol medium? Especially when Sol comes out 4-5x cheaper in their tests at those effort levels.

cbg0 1 hour ago | |

I think you just answered your own question.

Edit: In DeepSWE Sol High scores the same as Fable High for ~1/3 of the cost.

spullara 1 hour ago |

They are all different problems for the different languages. I was hoping this was a benchmark that attempted to see which languages were more efficient to use with which models.

rsyring 1 hour ago |

https://swe-rebench.com/about

> Potential data contamination: The SWE-bench dataset, comprising a collection of GitHub issues, has been publicly available since the end of 2023. As a result, models released after this date may have seen these exact issues or highly similar data during training. This raises the risk of inflated performance metrics and makes it harder to distinguish genuine generalization from memorization.