Benchmark Radar catalogs 1,283 AI benchmark records in one searchable database
The point
Researchers present Benchmark Radar, a living database and search engine for AI benchmarks. It covers LLM evaluation, agentic and tool use, coding, reasoning, safety, and domain specific evaluations.
Why it matters
Builders can find evaluations and check score evidence in one catalog instead of hunting sources one by one.
Key details
- Catalog: 1,283 source records from 4 catalogs, plus 12,916 numeric observations on 790 records
- Daily discovery uses 37 sources: 13 direct connectors and 24 first party feeds
- Ships a dashboard with leaderboard and trend views, plus a CLI for offline queries
Original ~5 min → 25 sec here Source: arXiv cs.AI, Oct 29, 2026