Google confirmed in late July 2026 that pre-training has begun on Gemini 4, its most ambitious large language model run to date, with CEO Sundar Pichai highlighting the need for significantly larger base models to maintain frontier status in reasoning, coding, and agentic capabilities. This followed rapid 3.x Flash iterations and came amid ongoing competition from OpenAI, Anthropic, and others pushing multimodal and autonomous AI systems. Historical release patterns point to a potential November or December launch, though Google has signaled a faster monthly cadence for incremental models while Gemini 4 remains in early training. Traders are monitoring API leaks, benchmark leaks, or I/O-style events for timeline signals, as any confirmed release would resolve markets quickly given the model's scale and compute demands.
Resumo experimental gerado por IA com dados do Polymarket. Isto não é aconselhamento de trading e não tem qualquer papel na resolução deste mercado. · AtualizadoGemini 4.0 lançado por...?
$333,151 Vol.
31 de agosto
<1%
15 de setembro
11%
30 de setembro
17%
October 31
68%
30 de novembro
88%
$333,151 Vol.
31 de agosto
<1%
15 de setembro
11%
30 de setembro
17%
October 31
68%
30 de novembro
88%
For this market to resolve to "Yes," Gemini 4.0 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.
If a qualifying model is made publicly accessible and explicitly labeled with the relevant version name within the company’s official website, this will qualify as “publicly announced”. Labeling errors, placeholder text, or version names displayed on the website that do not correspond to a model that is actually accessible to the general public under the rules will not qualify.
Gemini 4.0 refers to a product explicitly named Gemini 4.0 or one that is recognized as a successor to Gemini 3 similar to the progression from Gemini 2.0 to Gemini 3. Products labeled as Gemini 3.0 Flash, Gemini 2.5, or similar will not count for this market's resolution.
The primary resolution source for this market will be official information from Google, with additional verification from a consensus of credible reporting.
Mercado Aberto: Aug 17, 2026, 10:58 AM ET
Resolver
0x65070BE91...For this market to resolve to "Yes," Gemini 4.0 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.
If a qualifying model is made publicly accessible and explicitly labeled with the relevant version name within the company’s official website, this will qualify as “publicly announced”. Labeling errors, placeholder text, or version names displayed on the website that do not correspond to a model that is actually accessible to the general public under the rules will not qualify.
Gemini 4.0 refers to a product explicitly named Gemini 4.0 or one that is recognized as a successor to Gemini 3 similar to the progression from Gemini 2.0 to Gemini 3. Products labeled as Gemini 3.0 Flash, Gemini 2.5, or similar will not count for this market's resolution.
The primary resolution source for this market will be official information from Google, with additional verification from a consensus of credible reporting.
Resolver
0x65070BE91...Google confirmed in late July 2026 that pre-training has begun on Gemini 4, its most ambitious large language model run to date, with CEO Sundar Pichai highlighting the need for significantly larger base models to maintain frontier status in reasoning, coding, and agentic capabilities. This followed rapid 3.x Flash iterations and came amid ongoing competition from OpenAI, Anthropic, and others pushing multimodal and autonomous AI systems. Historical release patterns point to a potential November or December launch, though Google has signaled a faster monthly cadence for incremental models while Gemini 4 remains in early training. Traders are monitoring API leaks, benchmark leaks, or I/O-style events for timeline signals, as any confirmed release would resolve markets quickly given the model's scale and compute demands.
Resumo experimental gerado por IA com dados do Polymarket. Isto não é aconselhamento de trading e não tem qualquer papel na resolução deste mercado. · Atualizado
Cuidado com os links externos.
Cuidado com os links externos.
Frequently Asked Questions