SWE-rebench
Evaluates LLM coding agents on real-world GitHub issues sourced after each model's training cutoff, preventing benchmark contamination. Uses standardized ReAct scaffolding with 128K token context; each model is run five times per problem and the best Pass@1 resolved rate is reported. High benchmark score alone doesn't make a model the right pick — weigh it against pricing, API availability, and release date.
Models ranked
14
tracked on this benchmark
Score band
79.8 – 41.6
best → lowest tracked
Snapshot trend
+21.96
May 28 → Jun 7 · 1 models
Leaderboard
Tracked models ranked by Resolved Rate (higher is better).
How to read this benchmark
This benchmark scores models where higher is better. Scores are useful for directional filtering and shortlisting — not for universal quality ranking. Prefer benchmarks closest to your workload, then validate the linked model pages for pricing, context window, and provider availability.
Trust this score when
- There is a fresh timestamped snapshot (or multiple snapshots) for this benchmark.
- The model list covers the same version family you can actually deploy today.
- Top candidates overlap with your required routing and feature requirements.
Be cautious when
- There is only one benchmark snapshot or the dataset appears stale.
- The benchmark metric direction is opposite of your decision objective.
- The score difference between options is narrow and likely within implementation variance.
FAQ
What does the SWE-rebench benchmark measure?
Evaluates LLM coding agents on real-world GitHub issues sourced after each model's training cutoff, preventing benchmark contamination. Uses standardized ReAct scaffolding with 128K token context; each model is run five times per problem and the best Pass@1 resolved rate is reported. On this page it ranks 14 tracked models where higher is better.
Is a higher SWE-rebench score always better?
For this benchmark, higher is better. A high score helps you shortlist, but confirm pricing, context window, and provider availability on each model page before committing — the top scorer is not always the right pick for your workload or budget.
How current is this SWE-rebench data?
This benchmark was last reviewed on May 28, 2026. The tracked score average moved +21.96 points across the last 2 snapshots.
Related benchmarks
Last reviewed: May 28, 2026