Equal rates do not fix the token count
The standard short-input rates in the official table match for this pair. Actual spending also depends on how each model tokenizes the input and how much billable output it produces. A long explanation can cost more than a concise answer at the same rate.
Begin with identical task text, then inspect each side's reported usage. Do not copy Haiku's token count into the Luna column after a real run. The calculator accepts separate counts so this difference remains visible.
Check the input-tier boundary separately
The manufacturers use different long-input thresholds. A document can fall into the higher Haiku tier while remaining in Luna's standard tier. The official table lists each threshold and the calculator applies the selected tier to the whole call.
This matters for long source material and for Chat histories that grow over time. A short initial prompt does not guarantee that a later follow-up stays in the same price tier.
Use extraction cases that punish plausible guesses
Try a small set of records where a field is absent, an identifier contains leading zeros, and two currencies appear in the same document. Require exact strings for identifiers and specify which currency field to return. Those checks reveal differences that a fluent summary can conceal.
Treat both models as candidates. If they agree on an answer that is not in the source, both can be wrong. Keep a checked reference for fields that have an objectively correct value; use written acceptance criteria for the remaining judgment calls.
- Keep leading zeros and punctuation in identifiers.
- Do not infer a total from an unrelated currency amount.
- Return a valid structure when source fields are absent.
Decide after reviewing the outputs
Review complete successful pairs before comparing their cost. A shorter response only helps if it still contains the required answer. A longer response is not automatically more useful. Capture the reason for each rejection so you can see whether failures repeat.
No winner is preselected on this page. Save your results and export the batch when the run and any cost reconciliation are finished. The report keeps the selected models, usage and judgments together for your own decision.
Manufacturer sources
- Claude Haiku 5.5 model reference · Checked 2026-10-09
- Anthropic API pricing · Checked 2026-10-09
- OpenAI model reference and pricing · Checked 2026-10-09
These sources describe the manufacturers' products. This page does not publish a site benchmark or reproduce a third-party ranking. Your saved outputs are private observations of your own inputs and settings.