Every change to our scoring formula is versioned and documented here. When we update weights, add new signals, or change normalization, we increment the version so you can track exactly how rankings are computed.
Current version: v2.1.0
Released February 25, 2026 — Added expert panel signal at 0% initial weight
Introduced the Expert signal dimension to the scoring formula. It launches at 0% weight so existing scores are unaffected, but the infrastructure is ready to gradually increase the weight as expert reviews accumulate.
Major methodology overhaul: each top-level category (Coding, Image Generation, Video Generation) now has its own weight profile. Previously, all categories shared the same weights. This change means the same model can receive different scores depending on which category it is ranked in.
Added a hard cap on the Social signal to prevent viral hype or coordinated campaigns from dominating the composite score. Social sentiment remains a valid signal but is now bounded regardless of the raw value.
Integrated an additional independent traffic signal for the Demand category. This provides independent internet traffic data that complements existing search interest signals and improves demand signal accuracy.
The first public release of the LM Market Cap scoring methodology. Establishes the composite score formula, the 6 original signals, and the normalization pipeline that converts raw data into 0-100 ModelCap Scores.