ConceptDiscovery layer

Coral Bricks Cache Economics

Coral Bricks prices GLM 5.3 at $1.12 per 1M input tokens and $1.68 per 1M cache write tokens, but cached reads are free.

By InnovaAI ResearchPublished Updated

What is Coral Bricks Cache Economics?

Cache write once → free cached reads on every agent turn

Cache write cost paid once, then free reads across every agent turn

Coral Bricks prices GLM 5.3 at $1.12 per 1M input tokens and $1.68 per 1M cache write tokens, but cached reads are free. That asymmetry is the whole margin model for an agency running a client agent loop. A coding or research agent that re-sends a 200k-token repository context on every tool call pays full input price each turn without caching; with cache writes, the first pass costs $1.68 per 1M and every subsequent read costs nothing. Take the Coral Bricks Starter Agent at $2,500 with 20h setup: if the client's agent fires 40 turns per session over a stable context, the retainer only holds if you configure caching before launch. Model choice compounds it, since GLM Flash and DeepSeek Flash slugs carry different per-token rates. Audit token flow in week one, or the second month of delivery eats the first.

ai-infrastructure