https://www.swebench.com
https://swe-rebench.com
https://livebench.ai/#/
https://eqbench.com/#
https://contextarena.ai/?needles=8
https://metr.org/blog/2025-03-19-measuring-ai-ability-to-com...
https://artificialanalysis.ai/leaderboards/models
https://gorilla.cs.berkeley.edu/leaderboard.html
https://github.com/lechmazur/confabulations
https://dubesor.de/benchtable
https://help.kagi.com/kagi/ai/llm-benchmark.html
https://huggingface.co/spaces/DontPlanToEnd/UGI-Leaderboard
I’d stick to artificial analysis
That has many of its own problems as well.
I’d stick to artificial analysis
That has many of its own problems as well.