We present FinNLI-Para, a paraphrased version of financial natural language inference (FinNLI). We investigate how much predictions on FinNLI depend on the particular wording used to express a financial hypothesis. We generate three paraphrases for each FinNLI hypothesis and use them to test prediction consistency across eleven model–prompt configurations. Models change their predictions on 7.9–12.3% of paraphrased examples, despite 98.35% of paraphrases preserving the original NLI label, indicating that financial NLI systems remain sensitive to hypothesis wording.