PaperBench
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.
Kimi K2.5 from Moonshot AI currently leads the PaperBench leaderboard with a score of 0.635 across 2 evaluated AI models.
What PaperBench measures
PaperBench is a text benchmark that evaluates large language models on reasoning, agents, and code tasks. LLM Stats tracks 2 models on this benchmark, with a maximum possible score of 1. Current average across reported models is 0.6, with the leader reaching 0.6.
Compare leaders on the best AI for reasoning, best AI for agents and best AI for code leaderboards.
Kimi K2.5 leads with 63.5%, followed by 
MiniMax M3 at 52.6%.
Progress Over Time
Interactive timeline showing model performance evolution on PaperBench
PaperBench Leaderboard
| Context | Cost | License | ||||
|---|---|---|---|---|---|---|
| 1 | Moonshot AI | 1.0T | — | — | ||
| 2 |  MiniMax | — | 1.0M | $0.60 / $2.40 |
FAQ
Common questions about PaperBench.
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