Why content generation are expensive to run
Content generation is output-heavy — a single blog post can consume 2,000-4,000 output tokens. At scale (100+ pieces/day), flagship-only pricing becomes unsustainable.
The core challenge
Opening paragraphs, headlines, and key arguments need creative flair. But body paragraphs, transitions, formatting, and meta descriptions are structural work any capable model handles.
How hybrid routing solves this
Route creative sections (intros, conclusions, hooks) through A-tier models. Route structural content (body expansion, formatting, SEO meta) through value-tier. Typical savings: 55-70% with minimal quality difference in final output. High-volume content workflows pair well with Claude-class alternative routing to maintain quality on editorial passes.
Cost comparison at scale
| Approach | Monthly cost (est.) | Quality |
|---|---|---|
| All-flagship (GPT-4o / Claude Sonnet) | $8,000-12,000 | Highest on every turn |
| All-economy (GPT-4o-mini / Haiku) | Low | Inconsistent on critical turns |
| Token Landing hybrid | $2,500-4,500 | High where users notice |
See full pricing comparison table for per-token costs across providers.
Getting started
Token Landing's API is OpenAI-compatible — migration is a base-URL swap. Define your routing policy (which endpoints get A-tier vs value-tier), set a quality floor, and start saving.