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Google's Gemini 3.5 Pro Nears June Launch -- 2M-Token Context and Deep Think Reasoning

Google's Gemini 3.5 Pro, unveiled at I/O in May, is in limited preview for select Vertex AI customers and slated for general availability in June, targeting a 2-million-token context window and Deep Think reasoning. It is Google's bid to retake the frontier as OpenAI and Anthropic battle for enterprise share.

2M tokens
Context Window
Google I/O, May 19
Unveiled
June 2026
GA Target
Limited Vertex preview
Status
TC
Trace Cohen
Early-stage VC & angel ยท Founder, New York Venture Partners
June 18, 2026
1 min read
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THE RUNDOWN
1

A 2M-token context window pushes long-document and codebase use cases that smaller models can't touch

2

Gemini 3.5 Pro is Google's shot at the absolute frontier as Anthropic captures the bulk of new enterprise AI spend

3

Timing slips matter -- a delayed Pro launch cedes ground in a quarter when every lab is racing to lock in customers

TC
The VC Read ยท Trace's TakeTrace Cohen

Google's problem isn't capability, it's cadence. Gemini 3.5 Pro looks frontier-class on paper -- 2M-token context and Deep Think reasoning are real differentiators for codebases and long documents -- but every month it sits in limited preview, Anthropic and OpenAI lock in another cohort of enterprise defaults. In this market, shipping is a competitive weapon, and 'wait another month' is an expensive sentence. Watch whether GA actually lands in June or slips into Q3.

๐Ÿค– AI Landscape โ†’๐Ÿ“ˆ AI Valuations โ†’

Google's Gemini 3.5 Pro, unveiled at Google I/O on May 19, is in limited preview for select Vertex AI enterprise customers and targeted for general availability in June 2026. The model aims for a 2-million-token context window, Deep Think reasoning, and frontier multimodal capability -- the high-end use cases the old Gemini Ultra tier used to cover.

As of mid-June, Pro had not yet shipped to the public Gemini app, AI Studio, or the consumer subscription, and Sundar Pichai's 'wait another month' framing at I/O reportedly drew groans from a crowd hoping for immediate access. Launch windows can slip, so 'June' should be read as a target rather than a guarantee.

โ€œLaunch windows can slip, so 'June' should be read as a target rather than a guarantee.โ€

The stakes are competitive. With Anthropic reportedly capturing the majority of new enterprise AI spend and OpenAI pushing hard on deployment, Google needs a frontier-class Pro model to defend its position. A large context window and strong reasoning are exactly the capabilities enterprise buyers weigh when standardizing on a default model.

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Originally reported by TechTimes. Analysis and editorial commentary by Value Add Pulse.

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