
Prediction market · Polymarket
This market will resolve to "Yes" if Google's Gemini 3.5 model is made available to the general public by June 30, 2026, 11:59 PM ET. Otherwise, this market will resolve to "No." For this market to resolve to "Yes," Gemini 3.5 must be launched and publicly accessible, including via open beta or open rolling waitlist signups. A closed beta or any form of private access will not suffice. The release must be clearly defined and publicly announced by Google as being accessible to the general public. Gemini 3.5 refers to a product explicitly named Gemini 3.5 (e.g., Gemini 3.5 Pro would count), or one that is recognized as a successor to Gemini 3, similar to the progression from Gemini 2.0 to Gemini 2.5. Products labeled as Gemini 4 or similar will not count for this market's resolution. Additional Gemini 3 models (e.g. a release of Gemini 3 Flash-lite) will not count. The primary resolution source for this market will be official information from Google, with additional verification from a consensus of credible reporting.
Ticker
gemini-3pt5-released-by-june-30
Volume
844.6K
24h volume
1.1K
1w volume
30.5K
Open interest
46.8K
Liquidity
40.5K
Liquidity CLOB
40.5K
Start
Feb 4, 2026
End
Jun 30, 2026
Status
Active
Access
Restricted
Created
Feb 4, 2026
Event ID
198615
Slug
gemini-3pt5-released-by-june-30
Markets
4
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"context_description": "Traders price a mere 7% chance of Gemini 3.5 public release by April 30, 2026, with June 30 leading at 24%, reflecting Google's recent focus on Gemini 3.1 variants rather than a 3.5 debut. Late March brought Gemini 3.1 Flash-Lite for cost-efficient inference and Gemini 3.1 Flash Live for natural voice interactions, signaling incremental efficiency gains over capability leaps amid competitive pressure from OpenAI's GPT series and Anthropic's Claude models. The Gemini 3 Pro preview's deprecation on March 9 further shifted sentiment toward post-I/O timelines, as Google I/O in May historically spotlights major large language model announcements—watch for teasers that could swing odds on multimodal AI benchmarks and agentic coding prowess.",
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