We blend a frontier model for the moments users notice with efficient models for the long tail of “boring” tokens. Same glossy UX—you stop paying flagship prices for every comma.
TL;DR
Token Landing is a hybrid AI token platform that routes requests between premium models (Claude, GPT-4o) and efficient models automatically. You get Claude-class UX for the interactions users notice, and value-tier tokens for high-volume workloads—cutting API costs by 40-70% without quality trade-offs your users can see.
routing:
surface: "claude-class UX"
backbone: "smart tier mix"
price: ↓ # fewer wasted flagship tokensHybrid
frontier + value tiers
Compatible
drop-in API shape
Cheaper
by design, not by fake limits
Honest
orchestration, not magic beans
One thread to align spend caps, model mix, and latency targets.
Familiar OpenAI-style calls—routing happens before the invoice does.
Let the shiny model own intros & pivots; let the lean model grind context.
You're not buying a story about “unlimited intelligence.” You're buying disciplined routing: flagship sparkle where users feel it, budget torque everywhere else.
Short reads on tokens, routing, and API integration—each page links home and to related topics.