Jev vs GPT-5.6 Sol: cost per decision
Sol is usually chosen for accuracy rather than price, which makes it the clearest case for splitting a pipeline: Jev for the volume, Sol for the fraction that genuinely needs it.
| Scenario | Jev 1.13 | GPT-5.6 Sol | Ratio |
|---|---|---|---|
Light 10k items/day, 300-token state, 2 questions | $5.29 | $684.00 | 129x |
Production 100k items/day, 500-token state, 4 questions | $93.24 | $11,880 | 127x |
High volume 2M items/day, 300-token state, 1 question | $856.80 | $93,600 | 109x |
Monthly, 30 days. Both sides answer all questions for an item in a single call. GPT-5.6 Sol additionally pays for its output tokens at $20/M; Jev 1.13 has no output charge. List prices at standard tier, excluding caching and batch discounts.
Where GPT-5.6 Sol still wins
Sol handles the long tail — the inputs that do not resemble anything in your label set. Routing everything to Jev and escalating the low-confidence remainder to Sol usually beats either model alone.
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-5.6 Sol or a human — which makes this a routing decision rather than a replacement decision.