Traders are pricing in low near-term odds for a Gemini 3.5 release, driven primarily by Google's fresh rollout of Gemini 2.0 models last month, including the efficient Flash variant and experimental reasoning-focused versions that outperform predecessors on benchmarks like MMMU and GPQA. CEO Demis Hassabis has teased "next-generation" capabilities but offered no 3.5 timeline, amid competitive pressure from OpenAI's o1 reasoning series and xAI's impending Grok-3. Historical delays in model scaling—Gemini 1.5 took months post-1.0—fuel skepticism. Key catalysts include Google's February Q1 earnings and potential DeepMind announcements, where multimodal advancements or compute scaling hints could shift implied probabilities.
Experimental AI-generated summary referencing Polymarket data · Updated$730,469 Vol.

March 31
1%

April 30
11%

May 31
27%

June 30
39%
$730,469 Vol.

March 31
1%

April 30
11%

May 31
27%

June 30
39%
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.
Market Opened: Feb 4, 2026, 4:00 PM ET
Resolver
0x65070BE91...Resolver
0x65070BE91...Traders are pricing in low near-term odds for a Gemini 3.5 release, driven primarily by Google's fresh rollout of Gemini 2.0 models last month, including the efficient Flash variant and experimental reasoning-focused versions that outperform predecessors on benchmarks like MMMU and GPQA. CEO Demis Hassabis has teased "next-generation" capabilities but offered no 3.5 timeline, amid competitive pressure from OpenAI's o1 reasoning series and xAI's impending Grok-3. Historical delays in model scaling—Gemini 1.5 took months post-1.0—fuel skepticism. Key catalysts include Google's February Q1 earnings and potential DeepMind announcements, where multimodal advancements or compute scaling hints could shift implied probabilities.
Experimental AI-generated summary referencing Polymarket data · Updated

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