Turn messy public AI pricing into a shortlist a budget owner can actually defend.
This planner ranks providers and model routes for your workload, adds hidden-fee pressure where the source exposes it, and turns the result into a shareable decision memo instead of a raw price table.
Guided buyer inputs
- 1. Pick the buying intent and workload family.
- 2. Enter the usage pattern that really drives cost.
- 3. Apply route, lock-in, and budget constraints.
- 4. Review a ranked report with reasons, exclusions, and assumptions.
Usage drivers
Ask for the cost shape you actually expect in production, not the smallest model demo.
Decision constraints
These preferences steer ranking when raw list prices are close.
Useful for budget owners
The output is built to be discussed in a product, engineering, or finance review. It ranks routes, shows cost layers, and calls out why cheaper headline rows can still lose.
Useful for AI leads
The report still exposes the underlying monthly cost shape so technical buyers can validate whether the shortlist is being driven by tokens, add-ons, or route complexity.
Useful for content and research
Need the broader market context? Read the full 2026 AI pricing comparison.
How to use this tool well
Model the real workload
If your workflow uses search, retrieval, OCR, or managed state, enter those volumes. Raw token rows alone usually understate the real bill.
Read the exclusions
Rows are excluded when the current public pricing is not comparable enough for a decision-grade estimate. That is a feature, not a bug.
Share the permalink
Every report can be shared as a stable URL so stakeholders can review the same assumptions and shortlist.
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