SWE-Bench Pro Verified: A Reliable Benchmark for Software Engineering Agents
On the map: LLM agents and tool use → Software engineering coding agents
Abstract (arXiv)
SWE-Bench Pro has emerged as a standard benchmark for evaluating software engineering agents on challenging repository-level tasks. However, our analysis work show that its evaluation is undermined by two sources of unreliability: reward hacking, enabled by leakage of gold solutions or hidden evaluation information, and task quality issues, including misleading problem statements and improperly scoped tests. These issues can inflate benchmark performance and obscure agents' true coding ability. We present SWE-Bench Pro Verified, a verified version of SWE-Bench Pro that addresses both problems. Our approach combines anti-hacking safeguards that eliminate major leakage channels without disrupting normal agent functionality, with task refinement that minimally corrects inconsistencies within flawed instances. Evaluations on SWE-Bench Pro Verified reveal that some models perform substantially worse than previously evaluated, suggesting that existing results on SWE-Bench Pro may overestimate real software engineering capability. SWE-Bench Pro Verified offers a more trustworthy benchmark for assessing software engineering agents.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Placed in Software engineering coding agents, one of 16 directions in LLM agents and tool use. Builds on 17 of its 38 references that are in the map. First posted on arXiv 8 Sep 2026.
Builds on
17 of 38 references.
Closest ancestors · 3
Same direction, newest first
- 2026SWE-Bench ProMax: Benchmarking Agents on Large-Scale Multilingual Code Refactoring10 Aug
- 2025SWE-rebench: An Automated Pipeline for Task Collection and Decontaminated Evaluation of Software Engineering Agents26 May
- 2024SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering6 May
Other references · 14
- 2023SWE-bench: Can Language Models Resolve Real-World GitHub Issues?cited by 3,193
- 2025BrowseComp: A Simple Yet Challenging Benchmark for Browsing Agentscited by 616
- 2026Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfacescited by 515
- 2025SWE-Bench Pro: Can AI Agents Solve Long-Horizon Software Engineering Tasks?cited by 254
- 2025Multi-SWE-bench: A Multilingual Benchmark for Issue Resolvingcited by 165
- 2025GDPval: Evaluating AI Model Performance on Real-World Economically Valuable Taskscited by 142
- 2025BrowseComp-ZH: Benchmarking Web Browsing Ability of Large Language Models in Chinesecited by 139
- 2025SWE-Lancer: Can Frontier LLMs Earn 1 Million from Real-World Freelance Software Engineering?cited by 99
- 2025CVE-Bench: A Benchmark for AI Agents' Ability to Exploit Real-World Web Application Vulnerabilitiescited by 90
- 2025SimpleQA Verified: A Reliable Factuality Benchmark to Measure Parametric Knowledgecited by 44
- 2026SWE-Marathon: Can Agents Autonomously Complete Ultra-Long-Horizon Software Work?cited by 19
- 2026ExploitBench: A Capability Ladder Benchmark for LLM Cybersecurity Agentscited by 16
Built on by
Citing papers per year: 2026: 1.
1 paper.
- 2026From Agent Output to Authorized Transitioncited by 0
- 2026From Agent Output to Authorized Transition23 Sep 2026
Similar, not cited
Close in wording, no citation either way
- 2025Saving SWE-Bench: A Benchmark Mutation Approach for Realistic Agent Evaluation
- 2026SWE-Skills-Bench: Do Agent Skills Actually Help in Real-World Software Engineering?
- 2026SWE Atlas: Benchmarking Coding Agents Beyond Issue Resolution
- 2026Shortcutting the Fix: Identifying and Categorizing Agentic Exploits in Software Engineering Benchmarks
- 2026SWE Refactor Bench: Can Coding Agents Complete a Long-Horizon, Whole-Repository Stack Migration?
- 2026SpecBench: Measuring Reward Hacking in Long-Horizon Coding Agents
- 2026SWE-Master: Unleashing the Potential of Software Engineering Agents via Post-Training
- 2026PERFOPT-Bench: Evaluating Coding Agents on Software Performance Optimization