Diverse genetic, epigenetic and developmental programs drive glioblastoma, an incurable and poorly understood tumor, but their precise characterization remains challenging. Here we use an integrative approach spanning single-cell RNA-sequencing of 28 tumors, bulk genetic and expression analysis of 401 specimens from the TCGA, functional approaches and single-cell lineage tracing to derive a unified model of cellular states and genetic diversity in glioblastoma. We find that malignant cells in glioblastoma exist in four main cellular states that recapitulate distinct neural cell types, are influenced by the tumor microenvironment, and exhibit plasticity. The relative frequency of cells in each state varies between glioblastoma samples and is influenced by copy number amplifications of the CDK4 , EGFR and PDGFRA loci, and by mutations in the NF1 locus, that each favor a defined state. Our work provides a blueprint for glioblastoma, integrating the malignant cell programs, their plasticity and their modulation by genetic drivers.