The odds of them getting the same result for any given patch should be very high if it is the correct result and they aren't garbage. The only times where they are not getting the same result would be the times when at least one has made a mistake. The odds of 3 different models making the same mistake should be low (unless it's something genuinely ambiguous like 0 vs O in a random alphanumeric string).

Best 2 out of 3 should be far more reliable than any model on its own. You could even weight their responses for different types of results, like say model B is consistently better for serif fonts, maybe their confidence counts for 1.5 times as much as the confidence of models A and C.