AiModelTracker

Efficiency ranking — a new Benchmark Trends category for models that score well and cost less per token, so you can pick a leader that is also cheap to run. Clearer Price and Context — tap either pill on a model’s detail card. Price explains the two dollar amounts (input vs. output, per million tokens). Context explains the window size — working memory for one request, not parameter count. Params, when listed, explains what a parameter is. Where scores come from — each model’s Benchmarks heading now says whether the numbers are a median across independent sources, reported from the model’s own materials, or estimated. The release-trend chart expands. Tap it for a full-screen view where each month’s volume sits on its own axis beneath the running total, so you can see both how far the curve has come and how busy any single month was. Rotating to landscape now renders that view correctly. The cadence figure uses a tighter window, so it tracks the current pace rather than averaging it away.