TPU v6e-1 Trillium Beats v5e-1 Only When Extra Memory Is Needed, Study Finds

A technical analysis of Google's Cloud TPU v6e-1 (Trillium) chip found it costs 2.25 times more than the v5e-1 but delivers only 1.62–1.68 times the throughput on workloads that fit within v5e memory. The v6e-1 becomes cost-effective only on larger workloads that exceed v5e memory capacity, where it is 3–19% cheaper per output token, with a break-even point at roughly 270,000 KV tokens. The chip's primary advantage is its larger memory — 32 GB versus 16 GB — making it a memory upgrade rather than a general compute upgrade. Notably, spot pricing on v6e-1 is more expensive than flex-start in us-east5, reversing the pricing order seen on v5e-1. The analysis also highlighted several configuration pitfalls, including zone availability gaps and provisioning model restrictions that vary by location.