Google’s Gemini models hold the current lead on Epoch AI’s FrontierMath benchmark, with Gemini 3 Pro and 3.1 Pro variants posting roughly 38% on Tiers 1–3 and isolated Deep Think or preview runs exceeding 40%, ahead of GPT-5.2 and Claude Opus 4.6 equivalents. With the June 30 resolution date only weeks away, traders price a high probability that at least one Gemini version clears the 40% threshold, driven by the narrow gap and Google DeepMind’s ongoing inference optimizations and internal scaling experiments. Limited runway remains for a new flagship release or training run, while the benchmark’s focus on unpublished, expert-vetted problems makes rapid gains difficult; any official confirmation of a higher score before deadline would serve as the decisive catalyst.
基于Polymarket数据的AI实验性摘要。这不是交易建议，也不影响该市场的结算方式。 · 更新于$146,439 交易量
2026-02-28
40%+
是
45%+
是
50%+
是
60%+
是
$146,439 交易量
40%+
$35,018 交易量
是
45%+
$50,558 交易量
是
50%+
$20,930 交易量
是
60%+
$39,933 交易量
是
This market will resolve to "Yes" if any Google Gemini model achieves the listed score or greater on the FrontierMath Exam by June 30, 2026, 11:59 PM ET. Otherwise, the market will resolve to "No".
This market will resolve according to the Epoch AI’s Frontier Math benchmarking leaderboard (https://epoch.ai/frontiermath) for Tier 1-3. Studies which are not included in the leaderboard (e.g. https://x.com/EpochAIResearch/status/1945905796904005720) will not be considered.
The primary resolution source will be information from EpochAI; however, a consensus of credible reporting may also be used. Google’s Gemini models hold the current lead on Epoch AI’s FrontierMath benchmark, with Gemini 3 Pro and 3.1 Pro variants posting roughly 38% on Tiers 1–3 and isolated Deep Think or preview runs exceeding 40%, ahead of GPT-5.2 and Claude Opus 4.6 equivalents. With the June 30 resolution date only weeks away, traders price a high probability that at least one Gemini version clears the 40% threshold, driven by the narrow gap and Google DeepMind’s ongoing inference optimizations and internal scaling experiments. Limited runway remains for a new flagship release or training run, while the benchmark’s focus on unpublished, expert-vetted problems makes rapid gains difficult; any official confirmation of a higher score before deadline would serve as the decisive catalyst.
This market will resolve to "Yes" if any Google Gemini model achieves the listed score or greater on the FrontierMath Exam by June 30, 2026, 11:59 PM ET. Otherwise, the market will resolve to "No".
This market will resolve according to the Epoch AI’s Frontier Math benchmarking leaderboard (https://epoch.ai/frontiermath) for Tier 1-3. Studies which are not included in the leaderboard (e.g. https://x.com/EpochAIResearch/status/1945905796904005720) will not be considered.
The primary resolution source will be information from EpochAI; however, a consensus of credible reporting may also be used.
This market will resolve according to the Epoch AI’s Frontier Math benchmarking leaderboard (https://epoch.ai/frontiermath) for Tier 1-3. Studies which are not included in the leaderboard (e.g. https://x.com/EpochAIResearch/status/1945905796904005720) will not be considered.
The primary resolution source will be information from EpochAI; however, a consensus of credible reporting may also be used.
市场开放时间： Feb 6, 2026, 6:03 PM ET
交易量
$146,439结束日期
2026-06-30市场开放时间
Feb 6, 2026, 6:03 PM ETResolver
0x65070BE91...已提议结果: 是
无争议
最终结果: 是
This market will resolve to "Yes" if any Google Gemini model achieves the listed score or greater on the FrontierMath Exam by June 30, 2026, 11:59 PM ET. Otherwise, the market will resolve to "No".
This market will resolve according to the Epoch AI’s Frontier Math benchmarking leaderboard (https://epoch.ai/frontiermath) for Tier 1-3. Studies which are not included in the leaderboard (e.g. https://x.com/EpochAIResearch/status/1945905796904005720) will not be considered.
The primary resolution source will be information from EpochAI; however, a consensus of credible reporting may also be used. Google’s Gemini models hold the current lead on Epoch AI’s FrontierMath benchmark, with Gemini 3 Pro and 3.1 Pro variants posting roughly 38% on Tiers 1–3 and isolated Deep Think or preview runs exceeding 40%, ahead of GPT-5.2 and Claude Opus 4.6 equivalents. With the June 30 resolution date only weeks away, traders price a high probability that at least one Gemini version clears the 40% threshold, driven by the narrow gap and Google DeepMind’s ongoing inference optimizations and internal scaling experiments. Limited runway remains for a new flagship release or training run, while the benchmark’s focus on unpublished, expert-vetted problems makes rapid gains difficult; any official confirmation of a higher score before deadline would serve as the decisive catalyst.
This market will resolve to "Yes" if any Google Gemini model achieves the listed score or greater on the FrontierMath Exam by June 30, 2026, 11:59 PM ET. Otherwise, the market will resolve to "No".
This market will resolve according to the Epoch AI’s Frontier Math benchmarking leaderboard (https://epoch.ai/frontiermath) for Tier 1-3. Studies which are not included in the leaderboard (e.g. https://x.com/EpochAIResearch/status/1945905796904005720) will not be considered.
The primary resolution source will be information from EpochAI; however, a consensus of credible reporting may also be used.
This market will resolve according to the Epoch AI’s Frontier Math benchmarking leaderboard (https://epoch.ai/frontiermath) for Tier 1-3. Studies which are not included in the leaderboard (e.g. https://x.com/EpochAIResearch/status/1945905796904005720) will not be considered.
The primary resolution source will be information from EpochAI; however, a consensus of credible reporting may also be used.
交易量
$146,439结束日期
2026-06-30市场开放时间
Feb 6, 2026, 6:03 PM ETResolver
0x65070BE91...已提议结果: 是
无争议
最终结果: 是
Google’s Gemini models hold the current lead on Epoch AI’s FrontierMath benchmark, with Gemini 3 Pro and 3.1 Pro variants posting roughly 38% on Tiers 1–3 and isolated Deep Think or preview runs exceeding 40%, ahead of GPT-5.2 and Claude Opus 4.6 equivalents. With the June 30 resolution date only weeks away, traders price a high probability that at least one Gemini version clears the 40% threshold, driven by the narrow gap and Google DeepMind’s ongoing inference optimizations and internal scaling experiments. Limited runway remains for a new flagship release or training run, while the benchmark’s focus on unpublished, expert-vetted problems makes rapid gains difficult; any official confirmation of a higher score before deadline would serve as the decisive catalyst.
基于Polymarket数据的AI实验性摘要。这不是交易建议，也不影响该市场的结算方式。 · 更新于
警惕外部链接哦。
警惕外部链接哦。
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