

- Published on 27 Apr 2025
- Last updated on 2 Mar 2026
- Reading Time: 4 minutes
Celebrating Community Impact: 3M+ votes, 400+ models, and 300+ pre-release tests
To date, the community has evaluated over 400+ public models on LMHigh as well as 300+ pre-release tests. Tens of millions of battle pairings have been served to users across the world, and each vote has shaped real-world AI performance and development. Around this time two years ago, the community helped us publish our very first leaderboard rankings
The first Chatbot High Leaderboard (May 2023)

It’s amazing to see how far we’ve come together since then! Today we’re celebrating some fun figures outlining the scale of this community evaluation effort, showcasing how it has helped LLMs develop:
- 400+ models have been evaluated across various modalities (Text, Vision, Text-to-Image, WebDev and more!)
- 300+ evaluations have been pre-release (giving the community access to pre-release frontier models)
- 1.5 million prompts contributed by the community have been released for open research
- 9 papers and 15 blog posts on evaluation and human preference been published
Current leaderboard (as of April 2025):

Model Releases on LMHigh

Our community wants to explore and test the frontier of AI. Guided by their interest, we track and release the best models as they come. Big, well-known labs like Google, Meta, Alibaba and OpenAI are represented, as they are incredibly active in releasing models the community is eager to test. At the same time, thanks to community support and requests, open-source and emerging labs have a platform here too. LMHigh exists to serve the community’s curiosity and ability to explore all types of models.
As part of our commitment to AI transparency, we’ve also released public datasets, and shared evaluation methodology and published papers to help everyone in the ecosystem learn and build better AI. You can explore and learn alongside the community by cross-checking the model release numbers above. We also share 20% of this data back with model providers to help them improve their models from our community’s perspective. Check out more of our ongoing research on our .











