Vegetation restoration can regulate soil microbial habitat and carbon supply by altering soil physicochemical properties. However, it remains unclear how different vegetation restoration patterns influence soil microbial carbon cycling functions through these changes. This study investigated four vegetation restoration models including two coniferous forests —Platycladus orientalis (L.) Franco. (Cupressaceae, PO) and Pinus densiflora Siebold and Zucc. (Pinaceae, PS); one broadleaf forest—Quercus acutissima Carruth. (Fagaceae, QA); and a shrub (SH), using wasteland (WL) as a control. This study employed metagenomic sequencing technology in conjunction with analysis based on the Kyoto Encyclopedia of Genes and Genomes (KEGG) database. The research examined alterations in soil physicochemical characteristics, microbial community structure, and functional pathway associated with carbohydrate metabolism, carbon fixation, and methane metabolism. Vegetation restoration patterns had a strong impact on soil characteristics and microbial composition. Compared to WL, the PO treatment exhibited significant increases in soil organic carbon (SOC, 110.71%), phosphorus (TP, 400%), and bulk density (BD, 22.4%). Significant differences were observed in soil carbon cycle functional pathways, with overall abundance following the trend PO > WL > SH > PS > QA. The relative abundance of carbon fixation, methane metabolism, and carbohydrate metabolism pathways was highest in PO, significantly higher than in QA. Mantel test showed soil phosphorus, pH, and C; N strongly linked to microbial carbon cycling pathways, marking them as key regulators. We found that PO showed the highest abundance of carbon-cycling-related functional pathways, whereas PS showed a comparatively weaker response, suggesting species-specific variation rather than a uniform coniferous–broadleaf pattern. Vegetation restoration controls microbial carbon cycling through soil properties, especially phosphorus, pH, and nutrient balances. This knowledge supports better restoration planning for ecosystem carbon management.