The stochastic fluctuations in gene expression emanating from HIV-1 long terminal repeat (LTR), amplified by the Tat positive feedback circuit, determine the choice between viral infection fates: active transcription (ON) or transcriptional silence (OFF). The emergence of several transcription factor binding site (TFBS) variant strains in HIV-1 subtype C (HIV-1C), especially those containing the duplication of NF-κB motif, mandates the evaluation of the effect of enhanced transcriptional strength on gene expression noise and its influence on viral fate-selection switch. Using a panel of subgenomic LTR-variant strains containing varying copy numbers of the NF-κB motif (ranging from 0 to 4), we employed flow cytometry, mRNA quantification, and pharmacological perturbations to demonstrate an inverse correlation between promoter strength and gene expression noise in Jurkat T-cells and primary CD4+ T-cells. The inverse correlation is consistent in clonal cell populations, at constant intracellular concentrations of Tat, and when NF-κB levels were regulated pharmacologically. Further, we show that strong LTRs containing at least two copies of the NF-κB motif in the enhancer establish a stabler latent state and demonstrate rapid latency reversal than weak LTRs containing fewer motifs. An engineered LTR containing three copies of the C-κB motif (CCC), an element unique for HIV-1C, demonstrated significantly higher levels of gene expression noise compared to the canonical HHC-LTR or two other engineered LTRs containing three copies of the H-κB (HHH) or F-κB (FFF) motif. This result suggests the indispensable nature of the C-κB motif for HIV-1C despite higher-level gene expression noise. We also demonstrate a cooperative binding of NF-κB to the motif cluster in HIV-1C LTRs containing two, three, or four NF-κB motifs (H = 2.61, 3.56, and 3.75, respectively). The present work alludes to a possible evolution of HIV-1C LTR towards gaining transcriptional strength associated with attenuated gene expression noise with implications for viral latency.