We consider the asymptotic behavior of chi-square tests when a number k_n of cells increases as the sample size n grows. For such a setting we show that a sequence of chi-square tests is asymptotically minimax if k_n = o(n²) as n → ∞. The proof makes use of a theorem about asymptotic normality of chi-square test statistics obtained under new assumptions.