John Cox

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Tagged pricing · everything

Claude

What a task costs on Opus 5.5 | Claude by Anthropic

Claude Code tasks cost money based on four factors: the number of turns (which resend the conversation), cache hit rates (dramatically cheaper than fresh reads), output tokens including thinking (the most expensive element), and model choice. Opus 5.5 is 20% cheaper on input and output tokens and 60% cheaper on cached reads than Opus 5, shifting the economics significantly toward long, cache-heavy sessions. The post provides interactive calculators and concrete guidance: use Opus 5.5 as your daily driver for supervised work, raise effort level before switching models, put lookup tasks on smaller models like Sonnet, keep sessions moving to maintain cache warmth, and crucially, measure your own real tasks to understand how these tradeoffs apply to your specific codebase and workflow.

Permalink developmentclaudepricing

Real Estate News & Insights | realtor.com®

'The Game Is Over': Sellers Are Facing Reality on Pricing and Backing Off Unrealistic Demands

After a year of stubbornly holding prices high in a changed market, home sellers are finally pricing realistically and meeting buyer expectations, resulting in lower initial asking prices, faster contract signings, and fewer frustrated delistings. Sellers who price competitively from the start—sometimes even slightly below market—are winning by attracting more offers and avoiding the stigma of extended time on market, while those using strategies like rate buydowns or strategic price drops are seeing better results than simply listing high and hoping for offers.

Permalink real estatepricing2020smarketing

Joel on Software

Camels and Rubber Duckies - Joel on Software

# Summary Joel Spolsky traces the theoretical foundation for software pricing through demand curves and profit optimization, demonstrating that a simple economic model suggests an ideal price point where marginal revenue meets marginal cost—but then systematically dismantles this theory's practical applicability. He explains how companies attempt to capture "consumer surplus" through price segmentation (discounts, coupons, tiered versions), showing both why it works in theory and why it backfires in practice when customers discover they're paying different prices or feel exploited. Ultimately, Spolsky argues that the only reliable way to determine demand is through actual sales experimentation, that price itself sends quality signals to consumers, and that cheaper prices can function as long-term advertising investments—but he concludes the endeavor is fundamentally unknowable, leaving readers unable to definitively answer the original question.

Permalink softwarebusinesseconomicspricing