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How AI describes SWE-bench

Data as of Aug 25, 2026 · Based on 3,181,687 AI responses across 10,525 prompts · See how Parse measures this

SWE-bench logoSWE-benchswebench.com

SWE bench is a benchmark for evaluating large language models on real-world software engineering tasks, offering subsets like Verified, Lite, Multilingual, and Multimodal. It provides leaderboards and metrics such as the percentage of resolved instances to compare model performance.

Parse Score

47.6

#43 of 114 in LLM Observability and Evaluation Platforms

Strength7
Reach32
Authority31

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Sources

arxiv.org shapes more of what AI says about SWE-bench than any other source, at 24% of its citations.

swebench.com · agentsdirectory.dev · aimultiple.com · anthropic.com

AI questions where SWE-bench appears

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The market map

LLM Observability and Evaluation Platforms →
10%20%50%Category leadersSpecialistsIn the mixLong tailNamed in more AI answers →Appears earlier in the answer →LangChainLangfuseArize AIBraintrustDeepEvalPromptLayerPromptfooHeliconeOpenAIMaxim AIGalileo LearnDatadogRagasEvidently AI

Where AI ranks SWE-bench

LLM Observability and Evaluation Platforms#43
  • Excerpts where SWE-bench appeared in the AI's answer

    Google AI Mode · excerpt
    SWE-bench / SWE-bench Verified: Measures end-to-end software engineering capabilities on real GitHub issues.
    Google AI Mode · excerpt
    SWE-bench: The industry standard for evaluating AI agents on real-world Github issues
  • Excerpts where SWE-bench appeared in the AI's answer

    Google AI Mode · excerpt
    SWE-bench / MLE-bench: Benchmark and environment ecosystems explicitly designed for long-horizon software engineering