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 Limited runway remains for a new flagship release or training run, while the benchmark’s focus on unpublished, expert-vetted problems makes rapid gains difficult; any official confirmation of a higher score before deadline would serve as the decisive catalyst.
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$146,439 Vol.
28 feb 2026
40%+
Yes
45%+
Yes
50%+
Yes
60%+
Yes
$146,439 Vol.
40%+
$35,018 Vol.
Yes
45%+
$50,558 Vol.
Yes
50%+
$20,930 Vol.
Yes
60%+
$39,933 Vol.
Yes
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 Limited runway remains for a new flagship release or training run, while the benchmark’s focus on unpublished, expert-vetted problems makes rapid gains difficult; any official confirmation of a higher score before deadline would serve as the decisive catalyst.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.
Mercado abierto: Feb 6, 2026, 6:03 PM ET
Volumen
$146,439Fecha de finalización
30 jun 2026Mercado abierto
Feb 6, 2026, 6:03 PM ETResolver
0x65070BE91...Resultado propuesto: Yes
Sin disputa
Resultado final: Yes
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.
Volumen
$146,439Fecha de finalización
30 jun 2026Mercado abierto
Feb 6, 2026, 6:03 PM ETResolver
0x65070BE91...Resultado propuesto: Yes
Sin disputa
Resultado final: Yes
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.
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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Cuidado con los enlaces externos.
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