Google's rapid iteration in its Gemini large language model family drives current trader sentiment around the next Pro release. Following the February 2026 preview of Gemini 3.1 Pro, which improved reasoning benchmarks, the company announced the 3.5 series at Google I/O in mid-May 2026, launching 3.5 Flash immediately with 3.5 Pro slated for rollout in the ensuing weeks. This cadence underscores competitive positioning against rivals like OpenAI's GPT line and Anthropic's Claude models, where frequent capability upgrades influence developer adoption and enterprise contracts. Key near-term catalysts include general availability confirmations, integration into Vertex AI or the Gemini app, and any I/O follow-up statements on model timelines or feature thresholds, all of which could shift implied probabilities based on verified announcements rather than speculation.
สรุปจาก AI ทดลองที่อ้างอิงข้อมูลจาก Polymarket ไม่ใช่คำแนะนำในการเทรดและไม่มีผลต่อการตัดสินตลาดนี้ · อัปเดตแล้วJune 5
29%
June 12
17%
June 19
71%
June 26
75%
June 30
84%
July 31
61%
$332 ปริมาณ
June 5
29%
June 12
17%
June 19
71%
June 26
75%
June 30
84%
July 31
61%
Any Gemini model released after market creation and labeled as "Pro" may qualify (e.g., gemini-3.2-pro, gemini-3.5-pro, or gemini-4.0-pro-preview). Gemini models labeled only as Flash, Flash-Lite, or another non-Pro variant will not qualify.
Products labeled as a GA promotion of an already-existing Preview model (e.g., gemini-3.1-pro-ga) may qualify
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.
ตลาดเปิดเมื่อ: Jun 1, 2026, 6:54 PM ET
Resolver
0x65070BE91...Any Gemini model released after market creation and labeled as "Pro" may qualify (e.g., gemini-3.2-pro, gemini-3.5-pro, or gemini-4.0-pro-preview). Gemini models labeled only as Flash, Flash-Lite, or another non-Pro variant will not qualify.
Products labeled as a GA promotion of an already-existing Preview model (e.g., gemini-3.1-pro-ga) may qualify
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.
Resolver
0x65070BE91...Google's rapid iteration in its Gemini large language model family drives current trader sentiment around the next Pro release. Following the February 2026 preview of Gemini 3.1 Pro, which improved reasoning benchmarks, the company announced the 3.5 series at Google I/O in mid-May 2026, launching 3.5 Flash immediately with 3.5 Pro slated for rollout in the ensuing weeks. This cadence underscores competitive positioning against rivals like OpenAI's GPT line and Anthropic's Claude models, where frequent capability upgrades influence developer adoption and enterprise contracts. Key near-term catalysts include general availability confirmations, integration into Vertex AI or the Gemini app, and any I/O follow-up statements on model timelines or feature thresholds, all of which could shift implied probabilities based on verified announcements rather than speculation.
สรุปจาก AI ทดลองที่อ้างอิงข้อมูลจาก Polymarket ไม่ใช่คำแนะนำในการเทรดและไม่มีผลต่อการตัดสินตลาดนี้ · อัปเดตแล้ว
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