Today, getting frontier-class coding accuracy means paying frontier prices on every single call. Tīrtha breaks that link: you get frontier-class accuracy, but only pay the premium on the minority of calls that genuinely need it — and that cost keeps falling as your cache warms.
| Per 1,000 coding tasks | All-frontier | Tīrtha |
|---|---|---|
| Accuracy (HumanEval+) | 96% | 95% |
| Calls hitting a premium model | 100% | 27–57% |
| Local-tier serving cost | — | ~$1 |
| Frontier list price | ~$13–28 | paid on the hard slice only |
| Repeat / routine work | full price, every time | 26–62× cheaper as cache warms |
Every verified answer is remembered. As the cache fills, more of your everyday work returns instantly and at near-zero cost — so the line keeps dropping while the all-frontier baseline stays flat.
Common, repeated patterns warm fastest — the cost of your highest-volume work falls the most.
Even the difficult tail gets cheaper as verified hard solutions accumulate and stop re-escalating.
Paying a premium model for every call costs the same on day 1,000 as on day one. There's no compounding to capture.
Send us your coding volume and accuracy needs and we'll map them to a real cost projection — measured against your current spend, not hand-waved. Pre-beta partners get early pricing.