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SWE-bench

BENCHMARK

Evaluates LLMs on real-world GitHub issues from 15+ Python repositories

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Overview

SWE-bench: a free, copy-ready benchmark on OpenRuna. Evaluates LLMs on real-world GitHub issues from 15+ Python repositories

What this benchmark does

Looking for a dependable benchmark? "SWE-bench" gives you a tested starting point instead of a blank prompt box. Evaluates LLMs on real-world GitHub issues from 15+ Python repositories It is catalogued next to similar resources on OpenRuna, so the rest of the toolkit you need is close by. Open a new conversation and paste it in, wire it into an agent, or keep it in your team's prompt library.

Use cases

  • Use "SWE-bench" when you need a repeatable benchmark for professional work without rewriting instructions every time.
  • Hand "SWE-bench" to a new teammate so their benchmark output matches your team's quality bar from day one.
  • Combine it with related tools and prompts in the same OpenRuna category to build an end-to-end workflow.
  • Reach for it during planning or review sessions when you want consistent, AI-assisted structure.

Example output

Ask the model to apply "SWE-bench" to your scenario and it returns a structured answer — clear sections, actionable steps, and assumptions stated upfront — ready to paste into docs, tickets, or code comments. A short follow-up turn usually tightens the result to exactly what you need.

Tips by platform

Claude

With Claude, drop this benchmark into Project knowledge so every chat in the project inherits it. Ask Claude to restate the goal first, then run — it catches edge cases early.

ChatGPT

For ChatGPT, save this benchmark as a Custom Instruction or a saved prompt so it is one click away. Add your specifics in a follow-up rather than editing the original.

Cursor

Cursor users can store this benchmark as a project rule so Agent mode applies it automatically. Mention it with @ when you want it scoped to a single task.

Frequently asked questions

What is "SWE-bench"?
It is a benchmark listed on OpenRuna — Evaluates LLMs on real-world GitHub issues from 15+ Python repositories You can copy and adapt it for ChatGPT, Claude, Cursor, or any other AI assistant.
Is "SWE-bench" free to use?
Most OpenRuna resources are open or CC0-licensed. Check the license shown on this page before commercial use; premium collections are clearly marked as such.
How do I get the best results from this benchmark?
Replace any placeholders, add your project context, and ask the model to confirm its assumptions first. Iterate over 2–3 follow-up turns rather than expecting a perfect first response.
Does "SWE-bench" work with both Claude and ChatGPT?
Yes — it is model-agnostic text, so it runs on Claude, ChatGPT, Gemini, and Cursor. The tips on this page cover each of those assistants specifically.
Where can I find resources related to "SWE-bench"?
Scroll to the Related resources section on this page, or open the matching category hub on OpenRuna to find connected prompts, tools, agents, and datasets in the same topic area.

Related resources