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Differential testing

Run the same input across models or versions and treat divergence as a signal worth investigating.

Published June 26, 2026

How it works

When two comparable systems disagree on the same input, at least one is wrong — or the behavior is unstable. Comparing across providers, or across versions of one model, surfaces regressions and version-specific quirks cheaply, again without a labelled oracle.

When to use it

Regression testing across model upgrades; provider selection; flagging unstable behaviors.

Limitations

Agreement doesn't prove correctness (both can be wrong the same way). Best combined with an oracle on the divergent cases.

Cite this

Qlarify Labs. (2026). Differential testing. Retrieved from https://labs.qlarify.fi/catalog/differential-testing