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๐.๐๐ ๐จ๐ฝ๐ด๐ฟ๐ฎ๐ฑ๐ฒ: ๐๐ฎ๐ฐ๐ต๐ฒ-๐๐๐ฎ๐ฟ๐ฒ ๐๐ถ๐น๐น๐ถ๐ป๐ด ๐ถ๐ ๐ก๐ผ๐ ๐๐ถ๐๐ฒ
Efficiency in AI isnโt just about model performance
itโs also about how intelligently costs are managed.
With the latest billing engine upgrade, aligns pricing directly with how modern models actually operate.
๐ช๐ต๐ฎ๐ ๐ฐ๐ต๐ฎ๐ป๐ด๐ฒ๐ฑ
โข Cache-aware pricing is now fully integrated
โ repeated context usage is automatically detected
โข Official-level discounts are applied in real time
โ cache hits can reduce API costs by up to 90%
โข Billing logic has been refined
โ every token is calculated based on actual usage conditions
๐ช๐ต๐ฎ๐ ๐๐ต๐ถ๐ ๐ฒ๐ป๐ฎ๐ฏ๐น๐ฒ๐
This upgrade introduces a more accurate cost model:
โข Developers pay less for repeated context
โข AI agents operate more efficiently at scale
โข Usage becomes both predictable and transparent
Instead of flat pricing, costs now reflect real computational reuse.
๐ช๐ต๐ฎ๐ ๐๐๐ฎ๐ป๐ฑ๐ ๐ผ๐๐
โZero markupโ becomes measurable when:
โข Pricing mirrors official model discounts
โข Cache benefits are passed directly to users
โข Billing reflects actual system behavior, not estimates
This is especially relevant for high-frequency or agent-based workflows,
where context reuse is constant.
๐ข๐ฏ๐๐ฒ๐ฟ๐๐ฎ๐๐ถ๐ผ๐ป
As AI infrastructure evolves, efficiency shifts from raw capability
to cost-performance optimization.
is moving in that direction
by making both pricing and performance more aligned with reality.
Explore โ
@BAI_AGI @justinsuntron
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