PaperBench

coding

PaperBench is a benchmark for evaluating AI agents on their ability to replicate research papers. It tests models on complex, multi-step workflows involving code implementation, experimentation, and reproducing scientific results from academic publications.

Methodology

Imported from llm-stats public benchmark metadata. Modality: text. Max score: 1. Categories: agents, code, reasoning. Language: en. Verified by llm-stats: no.

Leaderboard

  1. Kimi K2.5 self-reported llm-stats
    63.5%
  2. MiniMax M3 self-reported llm-stats
    52.6%