Total Cost of Ownership: Griffin AI vs Mythos
List price is the easiest number to compare and the least interesting one. TCO over three years is where Griffin AI vs Mythos-class platforms actually diverge.
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List price is the easiest number to compare and the least interesting one. TCO over three years is where Griffin AI vs Mythos-class platforms actually diverge.
Per-token pricing on the OpenAI API looks cheap on a single call and expensive on a year-long security workload. Griffin AI's pricing reflects the architecture.
A 40% cost surprise in year two is not a pricing issue — it is an architecture issue. Griffin AI and Mythos-class tools diverge on predictability in structural ways.
Gemini's pricing table favours long-context workloads. Security scans have long-context structure. The question is how much context fits into the architecture.
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