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Google Puts Gemini 3.5 Pro Into Final Preview Stretch With 2M-Token Context and Deep Think Reasoning

Read this because The pricing and the free-trial window are what builders should check first. At $15/$60 per million tokens, Pro is priced to be used seriously — not sampled.

Gemini 3.5 Pro is in final Vertex enterprise preview with a 2M-token context window and Deep Think reasoning; GA launch expected imminently in June 2026.

Google's AI Threat Defense auto-patches vulnerabilities at machine speed — the defensive answer to AI attackers

Read this because Same week one model hunts vulnerabilities, Google ships one that auto-patches them. When attack and defense both run at machine speed, the patch window collapses from weeks to minutes — and the human moves from operator to auditor of agent-written fixes.

Google launched AI Threat Defense (May 27): a Gemini platform fusing Wiz, CodeMender, and Mandiant to find and auto-patch vulnerabilities at machine speed.

Google Gemini 3.5 Flash beats last quarter's Pro flagship on agentic tasks

Read this because The signal is the price-performance inversion: a budget tier now out-runs last quarter's flagship on agentic throughput-per-dollar. If you sized infra around Pro-tier pricing, your unit economics just improved without a code change.

At I/O 2026, Gemini 3.5 Flash beats Gemini 3.1 Pro on coding+agent benchmarks at $1.50/$9 per 1M tokens. Terminal-Bench 76.2% vs 70.3%. 4x faster, half cost.

OpenAI commits $234M for first overseas lab in Singapore; Google ups partnership

Read this because Small-state-as-neutral-ground is the emerging playbook. Singapore is collecting commitments from both OpenAI and Google by being the jurisdiction where US labs can scale in Asia without the China-exposure overhang. Expect more mid-size states to compete for this role.

At ATxSummit, OpenAI signed its first Singapore MoU — ~$234M for its first applied AI lab outside the US. Google upgraded to a National AI Partnership.

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