Jev vs GPT-6 Astra: cost per decision
Production example · monthly
- Jev 1.13
- $126.00
- GPT-6 Astra
- $29,700
GPT-6 Astra: 236x the Jev bill
The frontier end of the comparison. This is where TypeSafe's headline savings ratios come from, so treat them as an upper bound rather than a forecast.
Standard base token prices checked 2026-10-17. OpenAI pricing source. Check vendor terms before budgeting; other tiers and long-context rates can differ.
Light
10k items/day, 300-token state, 2 questions
- Jev 1.13
- $8.57/mo
- GPT-6 Astra
- $1,710/mo
200x the Jev bill
Production
100k items/day, 500-token state, 4 questions
- Jev 1.13
- $126.00/mo
- GPT-6 Astra
- $29,700/mo
236x the Jev bill
High volume
2M items/day, 300-token state, 1 question
- Jev 1.13
- $1,512/mo
- GPT-6 Astra
- $234,000/mo
155x the Jev bill
Monthly, 30 days. Both sides answer all questions for an item in a single call. GPT-6 Astra additionally pays for its output tokens at $50/M; Jev 1.13 has no output charge. Jev 1.13’s figures include the ~260 tokens every request is measured to bill; the GPT-6 Astra figures count your content only, with no system prompt or schema, so they are a floor. List prices at standard tier, excluding caching and batch discounts. Comparison rates checked 2026-10-17; verify current vendor prices before budgeting.
Where GPT-6 Astra still wins
Astra is a general model. If accuracy on your task is the binding constraint rather than cost, measure both on your own labelled data first.
The honest caveat
This compares price, not accuracy. A model that is 100x cheaper and wrong 5% more often can easily be the more expensive choice once you price the mistakes. Jev returns a calibrated probability with every answer, so the practical move is to route the confident cases automatically and send the rest to GPT-6 Astra or a human — which makes this a routing decision rather than a replacement decision.
Run these numbers on your own workload →
What Jev AI is, what it costs and its limits →
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