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 Limited runway remains for a new flagship release or training run, while the benchmark’s focus on unpublished, expert-vetted problems makes rapid gains difficult; any official confirmation of a higher score before deadline would serve as the decisive catalyst.
Polymarketデータを参照したAI生成の実験的な要約。これは取引アドバイスではなく、このマーケットの解決方法には一切関係ありません。 · 更新日$146,439 Vol.
2026/02/28
40％以上
はい
45％以上
はい
50％以上
はい
60％以上
はい
$146,439 Vol.
40％以上
$35,018 Vol.
はい
45％以上
$50,558 Vol.
はい
50％以上
$20,930 Vol.
はい
60％以上
$39,933 Vol.
はい
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 Limited runway remains for a new flagship release or training run, while the benchmark’s focus on unpublished, expert-vetted problems makes rapid gains difficult; any official confirmation of a higher score before deadline would serve as the decisive catalyst.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.
マーケット開始日： Feb 6, 2026, 6:03 PM ET
音量
$146,439終了日
2026/06/30マーケット開始日
Feb 6, 2026, 6:03 PM ETResolver
0x65070BE91...提案された結果: はい
異議申し立てなし
最終結果: はい
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.
音量
$146,439終了日
2026/06/30マーケット開始日
Feb 6, 2026, 6:03 PM ETResolver
0x65070BE91...提案された結果: はい
異議申し立てなし
最終結果: はい
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.
Polymarketデータを参照したAI生成の実験的な要約。これは取引アドバイスではなく、このマーケットの解決方法には一切関係ありません。 · 更新日
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