Artificial Analysis adds provider-level cache hit rates and Cost per Task
Artificial Analysis now publishes cache hit rates for tracked model endpoints and provider-level Cost per Task for open weights models. Cache hit rates are measured using multi-turn agentic coding tasks; provider cost comparisons use the same token counts from each model's Intelligence Index run. GLM-5.3 (max) costs vary ~9x, from $0.92 on Makora to $8.68 on Nebius, largely because of input pricing despite both having high cache hit rates. Across 21 providers (25 endpoints), cache hit rates range from 41% to 100%.
