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SWE-rebench

A continuously updated, contamination-free agentic software-engineering benchmark from Nebius that mines fresh post-cutoff GitHub issue/PR tasks and evaluates LLM agents under a fixed ReAct scaffold, reporting the monthly decontaminated resolved rate.

CodingResolved rate (pass@1)Higher is better

What is SWE-rebench?

A continuously updated, contamination-free agentic software-engineering benchmark from Nebius that mines fresh post-cutoff GitHub issue/PR tasks and evaluates LLM agents under a fixed ReAct scaffold, reporting the monthly decontaminated resolved rate. evals.report tracks reported SWE-rebench scores with the model, source, status, date, and run caveats attached — official leaderboard scores, vendor-reported launches, and clearly labeled community runs.

Top reported SWE-rebench score: Claude Opus 4.6 65.3% (Resolved rate (pass@1)).

ModelLabScoreSource modelStatusDate
Claude Opus 4.6Anthropic65.3%OfficialFeb 5, 2026Details
GLM-5OpenZ.ai62.8%OfficialFeb 11, 2026Details
GLM-5.1OpenZ.ai62.7%OfficialApr 7, 2026Details
DeepSeek V3.2OpenDeepSeek60.9%UnverifiedDec 1, 2025Details
Claude Sonnet 4.6Anthropic60.7%UnverifiedFeb 17, 2026Details
GLM-4.7OpenZ.ai58.7%UnverifiedDec 22, 2025Details
Kimi K2.5OpenMoonshot AI58.5%UnverifiedJan 27, 2026Details
GPT-5.3-CodexOpenAI58.2%UnverifiedFeb 5, 2026Details
Gemini 3 FlashGoogle DeepMind57.6%OfficialDec 17, 2025Details
Gemini 3 ProGoogle DeepMind56.5%OfficialNov 18, 2025Details
MiniMax M2.7OpenMiniMax51.9%UnverifiedMar 18, 2026Details

Each row reports the model’s Resolved rate (pass@1) on SWE-rebench. Click a row for the full run context.