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LMArena

lab · United States

Scores

1 product on the map — 1 open-ish.

Chatbot Arena

Openness

2 medium confidence
2.0
platform
closed(hosted arena.ai, proprietary live leaderboard + private vote data)
source
partial(FastChat is a real arena implementation but stale relative to the operating platform
reference-code
FastChat Apache-2.0 (powers Chatbot Arena but stale, last release Feb 2024, 39.5k stars)
aux-OSS
Arena-Hard-Auto Apache-2.0 (automatic LLM eval, highest correlation to LMArena)

Chatbot Arena runs as the hosted arena.ai platform, where the live ranking pipeline and vote data are closed. FastChat, its original Apache-2.0 implementation, has had no release since February 2024, and Arena-Hard-Auto is a separate Apache-2.0 automatic-eval companion, so the open code is real but is not the pipeline that runs the platform today.

Adoption

4 medium confidence
4.0

Chatbot Arena's reach is taken from the chat-request volume its FastChat README reports for the hosted platform. That figure predates the current arena.ai platform and has not been updated, so it is a dated, conservative measure rather than current usage.

  • https://arena.ai/ recorded 2026-06-04

    hosted live leaderboard / battle platform in active operation June 2026

  • https://arena.ai/ recorded 2026-09-29

    Hosted leaderboard platform titled "Arena AI: The Official AI Ranking" in active operation. Searched the body for a user count, traffic or request figure: none published on the page.

  • https://github.com/lm-sys/FastChat recorded 2026-06-04

    'serving over 10 million chat requests for 70+ LLMs'

  • https://raw.githubusercontent.com/lm-sys/FastChat/main/README.md recorded 2026-09-29

    README states "serving over 10 million chat requests for 70+ LLMs" and "Chatbot Arena has collected over 1.5M human votes from side-by-side LLM battles".

Capability

4 medium confidence
4.0

The hosted arena runs blind pairwise human-preference battles across many models, and Arena-Hard-Auto adds an automatic-judge companion built from hard real-world queries and creative-writing prompts. The evaluation code is largely closed and hosted, and it covers agentic and task-execution work less than harnesses built around running tasks.