Google’s Gemini 3.5 series, launched at I/O in mid-May 2026, is the main catalyst shaping trader views on a new reasoning flagship. Gemini 3.5 Flash rolled out immediately as a fast, agentic model with strong long-horizon performance and a 1-million-token context window, while a larger 3.5 Pro variant was announced as the premium reasoning model and began phased rollout. Earlier 3.1 Pro updates in February had already lifted scores on graduate-level reasoning benchmarks such as GPQA. Traders are weighing Google DeepMind’s continued cadence against OpenAI and Anthropic releases, supply-chain signals for further scaling, and any enterprise or API availability thresholds that could trigger market resolution.
Resumen experimental generado por IA con datos de Polymarket. Esto no es asesoramiento de trading y no influye en cómo se resuelve este mercado. · Actualizado$304,826 Vol.
19 jun 2026
19 de junio
9%
June 30
78%
$304,826 Vol.
19 de junio
$3,125 Vol.
9%
June 30
$37,504 Vol.
78%
This market will resolve to "Yes" if Google releases or makes available a new Gemini reasoning flagship model to the general public by the specified date (ET). Otherwise, this market will resolve to "No."
Qualifying models must be positioned by Google as a next-generation, reasoning-focused flagship within the Gemini model line. For example, qualifying models include newly released or newly made generally available (GA) reasoning-focused flagship models (e.g, Gemini 3.1 GA), or any new Pro, Deep Think, or Ultra variants (e.g., Gemini 3.2 Pro, Gemini 3.4 Deep Think, Gemini 4 Ultra).
Models explicitly positioned for speed, efficiency, or low-cost inference that compromise reasoning capability will NOT qualify. This includes, but is not limited to, variants such as Gemini Flash, Flash-lite, Nano, or similar lightweight or latency-optimized models, even if released under a new Gemini version number.
Specialized models for non-text modalities such as video generation (e.g., Veo), image generation (e.g., Imagen, Nano Banana), music generation (e.g., Lyria), or robotics (e.g., Gemini Robotics) will NOT qualify, even if released under a qualifying Gemini version number.
A qualifying model 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 either clearly defined and publicly announced by Google as being accessible to the general public or otherwise made publicly accessible and explicitly labeled within the company's official website. 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 will not qualify.
The primary resolution source for this market will be official information from Google, with additional verification from a consensus of credible reporting.Google’s Gemini 3.5 series, launched at I/O in mid-May 2026, is the main catalyst shaping trader views on a new reasoning flagship. Gemini 3.5 Flash rolled out immediately as a fast, agentic model with strong long-horizon performance and a 1-million-token context window, while a larger 3.5 Pro variant was announced as the premium reasoning model and began phased rollout. Earlier 3.1 Pro updates in February had already lifted scores on graduate-level reasoning benchmarks such as GPQA. Traders are weighing Google DeepMind’s continued cadence against OpenAI and Anthropic releases, supply-chain signals for further scaling, and any enterprise or API availability thresholds that could trigger market resolution.
This market will resolve to "Yes" if Google releases or makes available a new Gemini reasoning flagship model to the general public by the specified date (ET). Otherwise, this market will resolve to "No."
Qualifying models must be positioned by Google as a next-generation, reasoning-focused flagship within the Gemini model line. For example, qualifying models include newly released or newly made generally available (GA) reasoning-focused flagship models (e.g, Gemini 3.1 GA), or any new Pro, Deep Think, or Ultra variants (e.g., Gemini 3.2 Pro, Gemini 3.4 Deep Think, Gemini 4 Ultra).
Models explicitly positioned for speed, efficiency, or low-cost inference that compromise reasoning capability will NOT qualify. This includes, but is not limited to, variants such as Gemini Flash, Flash-lite, Nano, or similar lightweight or latency-optimized models, even if released under a new Gemini version number.
Specialized models for non-text modalities such as video generation (e.g., Veo), image generation (e.g., Imagen, Nano Banana), music generation (e.g., Lyria), or robotics (e.g., Gemini Robotics) will NOT qualify, even if released under a qualifying Gemini version number.
A qualifying model 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 either clearly defined and publicly announced by Google as being accessible to the general public or otherwise made publicly accessible and explicitly labeled within the company's official website. 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 will not qualify.
The primary resolution source for this market will be official information from Google, with additional verification from a consensus of credible reporting.
Qualifying models must be positioned by Google as a next-generation, reasoning-focused flagship within the Gemini model line. For example, qualifying models include newly released or newly made generally available (GA) reasoning-focused flagship models (e.g, Gemini 3.1 GA), or any new Pro, Deep Think, or Ultra variants (e.g., Gemini 3.2 Pro, Gemini 3.4 Deep Think, Gemini 4 Ultra).
Models explicitly positioned for speed, efficiency, or low-cost inference that compromise reasoning capability will NOT qualify. This includes, but is not limited to, variants such as Gemini Flash, Flash-lite, Nano, or similar lightweight or latency-optimized models, even if released under a new Gemini version number.
Specialized models for non-text modalities such as video generation (e.g., Veo), image generation (e.g., Imagen, Nano Banana), music generation (e.g., Lyria), or robotics (e.g., Gemini Robotics) will NOT qualify, even if released under a qualifying Gemini version number.
A qualifying model 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 either clearly defined and publicly announced by Google as being accessible to the general public or otherwise made publicly accessible and explicitly labeled within the company's official website. 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 will not qualify.
The primary resolution source for this market will be official information from Google, with additional verification from a consensus of credible reporting.
Mercado abierto: Jun 2, 2026, 9:25 AM ET
Volumen
$304,826Fecha de finalización
30 jun 2026Mercado abierto
Jun 2, 2026, 9:25 AM ETResolver
0x65070BE91...This market will resolve to "Yes" if Google releases or makes available a new Gemini reasoning flagship model to the general public by the specified date (ET). Otherwise, this market will resolve to "No."
Qualifying models must be positioned by Google as a next-generation, reasoning-focused flagship within the Gemini model line. For example, qualifying models include newly released or newly made generally available (GA) reasoning-focused flagship models (e.g, Gemini 3.1 GA), or any new Pro, Deep Think, or Ultra variants (e.g., Gemini 3.2 Pro, Gemini 3.4 Deep Think, Gemini 4 Ultra).
Models explicitly positioned for speed, efficiency, or low-cost inference that compromise reasoning capability will NOT qualify. This includes, but is not limited to, variants such as Gemini Flash, Flash-lite, Nano, or similar lightweight or latency-optimized models, even if released under a new Gemini version number.
Specialized models for non-text modalities such as video generation (e.g., Veo), image generation (e.g., Imagen, Nano Banana), music generation (e.g., Lyria), or robotics (e.g., Gemini Robotics) will NOT qualify, even if released under a qualifying Gemini version number.
A qualifying model 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 either clearly defined and publicly announced by Google as being accessible to the general public or otherwise made publicly accessible and explicitly labeled within the company's official website. 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 will not qualify.
The primary resolution source for this market will be official information from Google, with additional verification from a consensus of credible reporting.Google’s Gemini 3.5 series, launched at I/O in mid-May 2026, is the main catalyst shaping trader views on a new reasoning flagship. Gemini 3.5 Flash rolled out immediately as a fast, agentic model with strong long-horizon performance and a 1-million-token context window, while a larger 3.5 Pro variant was announced as the premium reasoning model and began phased rollout. Earlier 3.1 Pro updates in February had already lifted scores on graduate-level reasoning benchmarks such as GPQA. Traders are weighing Google DeepMind’s continued cadence against OpenAI and Anthropic releases, supply-chain signals for further scaling, and any enterprise or API availability thresholds that could trigger market resolution.
This market will resolve to "Yes" if Google releases or makes available a new Gemini reasoning flagship model to the general public by the specified date (ET). Otherwise, this market will resolve to "No."
Qualifying models must be positioned by Google as a next-generation, reasoning-focused flagship within the Gemini model line. For example, qualifying models include newly released or newly made generally available (GA) reasoning-focused flagship models (e.g, Gemini 3.1 GA), or any new Pro, Deep Think, or Ultra variants (e.g., Gemini 3.2 Pro, Gemini 3.4 Deep Think, Gemini 4 Ultra).
Models explicitly positioned for speed, efficiency, or low-cost inference that compromise reasoning capability will NOT qualify. This includes, but is not limited to, variants such as Gemini Flash, Flash-lite, Nano, or similar lightweight or latency-optimized models, even if released under a new Gemini version number.
Specialized models for non-text modalities such as video generation (e.g., Veo), image generation (e.g., Imagen, Nano Banana), music generation (e.g., Lyria), or robotics (e.g., Gemini Robotics) will NOT qualify, even if released under a qualifying Gemini version number.
A qualifying model 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 either clearly defined and publicly announced by Google as being accessible to the general public or otherwise made publicly accessible and explicitly labeled within the company's official website. 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 will not qualify.
The primary resolution source for this market will be official information from Google, with additional verification from a consensus of credible reporting.
Qualifying models must be positioned by Google as a next-generation, reasoning-focused flagship within the Gemini model line. For example, qualifying models include newly released or newly made generally available (GA) reasoning-focused flagship models (e.g, Gemini 3.1 GA), or any new Pro, Deep Think, or Ultra variants (e.g., Gemini 3.2 Pro, Gemini 3.4 Deep Think, Gemini 4 Ultra).
Models explicitly positioned for speed, efficiency, or low-cost inference that compromise reasoning capability will NOT qualify. This includes, but is not limited to, variants such as Gemini Flash, Flash-lite, Nano, or similar lightweight or latency-optimized models, even if released under a new Gemini version number.
Specialized models for non-text modalities such as video generation (e.g., Veo), image generation (e.g., Imagen, Nano Banana), music generation (e.g., Lyria), or robotics (e.g., Gemini Robotics) will NOT qualify, even if released under a qualifying Gemini version number.
A qualifying model 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 either clearly defined and publicly announced by Google as being accessible to the general public or otherwise made publicly accessible and explicitly labeled within the company's official website. 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 will not qualify.
The primary resolution source for this market will be official information from Google, with additional verification from a consensus of credible reporting.
Volumen
$304,826Fecha de finalización
30 jun 2026Mercado abierto
Jun 2, 2026, 9:25 AM ETResolver
0x65070BE91...Google’s Gemini 3.5 series, launched at I/O in mid-May 2026, is the main catalyst shaping trader views on a new reasoning flagship. Gemini 3.5 Flash rolled out immediately as a fast, agentic model with strong long-horizon performance and a 1-million-token context window, while a larger 3.5 Pro variant was announced as the premium reasoning model and began phased rollout. Earlier 3.1 Pro updates in February had already lifted scores on graduate-level reasoning benchmarks such as GPQA. Traders are weighing Google DeepMind’s continued cadence against OpenAI and Anthropic releases, supply-chain signals for further scaling, and any enterprise or API availability thresholds that could trigger market resolution.
Resumen experimental generado por IA con datos de Polymarket. Esto no es asesoramiento de trading y no influye en cómo se resuelve este mercado. · Actualizado
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