Google’s May 2026 I/O announcements positioned the Gemini 3.5 series as the next step in agentic and reasoning-focused models, with 3.5 Flash shipping immediately as a fast, cost-efficient option strong on coding and long-horizon tasks but showing some regression on hard reasoning benchmarks versus prior Pro versions. Traders are closely watching for the delayed 3.5 Pro release, described by executives as the premium flagship with deeper reasoning, larger context, and “Deep Think” capabilities expected in mid-to-late June. This timeline, internal testing status, and competitive pressure from rival frontier models create the primary near-term catalyst, while any slippage in rollout or benchmark gains could shift market-implied odds on a prompt release.
Ringkasan eksperimental yang dihasilkan AI dengan referensi data Polymarket. Ini bukan saran trading dan tidak berperan dalam bagaimana pasar ini diselesaikan. · Diperbarui$308,781 Vol.
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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 May 2026 I/O announcements positioned the Gemini 3.5 series as the next step in agentic and reasoning-focused models, with 3.5 Flash shipping immediately as a fast, cost-efficient option strong on coding and long-horizon tasks but showing some regression on hard reasoning benchmarks versus prior Pro versions. Traders are closely watching for the delayed 3.5 Pro release, described by executives as the premium flagship with deeper reasoning, larger context, and “Deep Think” capabilities expected in mid-to-late June. This timeline, internal testing status, and competitive pressure from rival frontier models create the primary near-term catalyst, while any slippage in rollout or benchmark gains could shift market-implied odds on a prompt release.
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.
Pasar Dibuka: Jun 2, 2026, 9:25 AM ET
Volume
$308,781Tanggal Berakhir
Jun 30, 2026Pasar Dibuka
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 May 2026 I/O announcements positioned the Gemini 3.5 series as the next step in agentic and reasoning-focused models, with 3.5 Flash shipping immediately as a fast, cost-efficient option strong on coding and long-horizon tasks but showing some regression on hard reasoning benchmarks versus prior Pro versions. Traders are closely watching for the delayed 3.5 Pro release, described by executives as the premium flagship with deeper reasoning, larger context, and “Deep Think” capabilities expected in mid-to-late June. This timeline, internal testing status, and competitive pressure from rival frontier models create the primary near-term catalyst, while any slippage in rollout or benchmark gains could shift market-implied odds on a prompt release.
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.
Volume
$308,781Tanggal Berakhir
Jun 30, 2026Pasar Dibuka
Jun 2, 2026, 9:25 AM ETResolver
0x65070BE91...Google’s May 2026 I/O announcements positioned the Gemini 3.5 series as the next step in agentic and reasoning-focused models, with 3.5 Flash shipping immediately as a fast, cost-efficient option strong on coding and long-horizon tasks but showing some regression on hard reasoning benchmarks versus prior Pro versions. Traders are closely watching for the delayed 3.5 Pro release, described by executives as the premium flagship with deeper reasoning, larger context, and “Deep Think” capabilities expected in mid-to-late June. This timeline, internal testing status, and competitive pressure from rival frontier models create the primary near-term catalyst, while any slippage in rollout or benchmark gains could shift market-implied odds on a prompt release.
Ringkasan eksperimental yang dihasilkan AI dengan referensi data Polymarket. Ini bukan saran trading dan tidak berperan dalam bagaimana pasar ini diselesaikan. · Diperbarui
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