Why the second half of 2025 changed pricing forever.
The prompting trick that became a training technique.
Prompting the model to show its reasoning steps before the final answer · dramatically improves math, logic, and multi-step tasks.
“CoT was a hack in 2022 and a core capability by 2025. The next bench will measure CoT efficiency, not CoT presence.”
Read full chapterHow o1, o3, R1, and Claude Extended Thinking work.
A model that generates internal reasoning tokens before producing the answer, trading inference cost for accuracy on math and logic.
“Reasoning models changed the pricing ladder: the frontier is no longer one price. It is now $2/M for chat, $20/M for reasoning, and $200/M for agent execution.”
Read full chapterThe benchmark that broke most of them.
ARC-AGI is a reasoning benchmark tracked by BenchGecko across every frontier and open-weight model.
“ARC-AGI rewards models that spend test-time compute · reasoning tier premium priced in.”
Read full chapterBy the end you understand why o1, Claude Extended Thinking, and DeepSeek R1 reshaped the frontier · and why the reasoning tier costs 30× more than chat.
Seven terms that decode whether AI is overpriced, fairly priced, or criminally underpriced. Read in order.