Charts
A maintained set of data visualizations on AI pricing, competition, compute leases, model turnover, attention, and developer sentiment. Every chart is shareable, embeddable, and downloadable as CSV.
- PricingIllustrative
Price of a fixed capability over time
A GPT-4-class answer costs roughly 100× less than it did at launch — and frontier-class is following the same slope.
- PricingIllustrative
List price vs. effective price per model
Cached and batch discounts routinely cut the sticker price in half; the gap is widest on the newest frontier models.
- CompetitionIllustrative
Days to open-weight parity
Open-weight models now match each frontier capability jump in months, not years — and the gap keeps shrinking.
- PricingIllustrative
Days from launch to first price cut
Labs cut prices faster than they used to. Mid-tier models get discounted within a quarter; flagships hold longer.
- InfrastructureIllustrative
Who holds the paper on which data center
Frontier labs sit at both ends of the lease: they buy capacity from clouds and lessors who, in turn, buy chips that flow back into those same labs' clusters.
- ModelsIllustrative
Release-to-deprecation span per model
Frontier models stay current about 6–12 months before a successor or a quiet deprecation. Open-weight lines turn over faster.
- AttentionIllustrative
Attention half-life after a launch
Social mention volume after a major launch decays by half within ~18 hours. The second day is already a different story.
- SentimentIllustrative
Weekly developer sentiment by lab
Developer chatter swings hard around launches and outages. The index is noisy week to week — the trend across quarters is the signal.