Google Cloud vs AWS pricing analysis shows 15% compute cost gap

The narrow list-price gap between these infrastructure giants suggests that streaming engineers should prioritize utilization over provider migration. While Google Cloud's automatic discounts benefit unpredictable workloads, the high cost of egress and support—often billed as a percentage of total spend—can easily erase a 10% saving on virtual machines. In the broader ecosystem, the rise of ARM-based processors like AWS Graviton and Google Axion is becoming the primary lever for cost-performance optimization rather than raw x86 list prices. Strategists should watch for shifts in cross-availability zone traffic fees, as these hidden networking costs increasingly dictate the total cost of ownership for high-bandwidth video delivery stacks.

Google Cloud and AWS continue to compete aggressively for streaming and media workloads, with pricing structures that directly affect video delivery economics. In early 2026, Google Cloud announced sustained-use discounts that automatically reduce compute costs for workloads running more than 25% of a billing cycle, a mechanism that benefits streaming platforms with unpredictable burst traffic patterns typical of live events and premiere launches. The automatic nature of these discounts contrasts with AWS Reserved Instances and Savings Plans, which require upfront commitment and capacity planning. For streaming operators managing peak-to-trough traffic ratios of 5:1 or higher, this distinction can translate into meaningful differences in monthly infrastructure spend.

AWS has responded to competitive pressure through its Graviton ARM-based processor family, which targets cost-performance optimization for compute-intensive workloads including video transcoding and packaging. AWS reported that Graviton4 instances deliver up to 30% better price-performance compared to equivalent x86 instances for media processing workloads, a claim that directly challenges Google Cloud's list-price advantage on general-purpose VMs. Meanwhile, Google Cloud introduced its Axion ARM processor in 2024 and has been expanding availability across regions, positioning it as a counter to Graviton for customers seeking ARM-based savings without re-architecting applications. The competitive dynamic between these two ARM offerings is becoming a primary factor in total cost of ownership calculations for streaming infrastructure teams evaluating migration or multi-cloud strategies.

The broader cloud cost optimization market has attracted significant attention from third-party tooling vendors, reflecting the complexity of managing spend across providers. CAST AI published research showing that organizations running Kubernetes workloads on major cloud providers can reduce compute costs by 50-70% through automated bin-packing and spot instance orchestration, a finding relevant to streaming platforms that containerize their encoding and delivery pipelines on Amazon EKS or GKE. For video streaming companies specifically, egress fees remain a persistent concern: AWS charges $0.09 per GB for data transfer out to the internet after the first 100 GB per month, while Google Cloud charges $0.12 per GB for equivalent egress, a differential that can outweigh compute savings for high-volume CDN origin servers distributing petabytes of video content monthly.