Why Coral Bricks Changes Agency Inference Margins Before Your Next Retainer Renewal
Coral Bricks serves GLM, Kimi, gpt-oss, and DeepSeek behind an OpenAI-compatible API at $1.12 per 1M input tokens on GLM 5.3, with free cached reads and 340 tok/s decode against 93 tok/s for Fireworks.
By InnovaAI ResearchPublished Updated
Why does it matter for agencies?
Coral Bricks serves GLM, Kimi, gpt-oss, and DeepSeek behind an OpenAI-compatible API at $1.12 per 1M input tokens on GLM 5.3, with free cached reads and 340 tok/s decode against 93 tok/s for Fireworks. For agencies running coding or research agents for clients, that throughput and cache economics turn repeated context into a fixed cost instead of a per-call tax. The catch is structural: this is developer infrastructure, not a white-label product, so the margin only lands when the client is building or operating their own agent system.
More on Coral Bricks
- ConceptCoral Bricks Cache Economics
- Evaluation RuleWhen to Adopt Coral Bricks: Your Client Runs Their Own Agent Loop
- Decision FrameworkCoral Bricks: Buy vs Skip (Agent Product Builders)
- Failure PatternThe Coral Bricks Cache Blind Spot: Why Agencies Fail With Coral Bricks on Agent Retainers
- Implementation BlueprintCoral Bricks Client Agent Deployment (5-7 days)
- Operating ProcedureCoral Bricks Client Agent Endpoint Handoff (Onboarding)