Deep|LLM: Tiered Model Pricing Is Broadening AI Adoption; Limited Impact by Jev Pricing cuts accelerate adoption: Anthropic launched Claude Opus 5.5 at $4/$20 per million tokens, 20% below Opus 5, and estimates typical workload costs are down 40%. OpenAI’s GPT-6 Sol at $2/$10 and GPT-6 Luna at $0.10/$0.50 are 50–58% below comparable GPT-5.6 prices, making more everyday AI tasks economical to automate. Tiered models expand use cases: Frontier models such as GPT-6 Astra and Claude Opus 5.5 still command premium pricing for complex tasks, while lower-cost models like Luna support extraction, routing, and consumer-agent workflows. The same application budget can now support more users, more model calls, or longer agent workflows. Jev is useful but narrow: TypeSafe’s Jev offers structured decisions at $0.042 per million input tokens with free output, averaging $0.0004 per call and 0.4-second latency in TypeSafe’s evaluation. It can replace some classification and guardrail calls, but it does not perform long-chain reasoning, so its impact on frontier-model demand should be limited. Compute demand remains supported: Over the next 6–12 months, broader AI deployment is expected to increase both usage and compute demand, even as inference efficiency improves. Application companies are the clearest beneficiaries, while model developers that compete mainly on low API prices face greater margin pressure, especially standalone Chinese players. Detailed Report