Google's Gemini models currently trail on the FrontierMath benchmark, with Gemini 3.1 Pro achieving around 37-38% accuracy on Tiers 1-3—expert-level math problems vetted by mathematicians—and lower on the ultra-hard Tier 4 open research challenges, per Epoch AI evaluations as of mid-April 2026. This lags OpenAI's GPT-5.4 at over 50%, reflecting competitive pressures where reasoning chain improvements like Google's Deep Think have boosted scores modestly but not decisively. Trader consensus hinges on Google's rapid iteration pace, seen in recent Gemma 4 open-weight releases signaling frontier research advances, amid rumors of Gemini 4 previews at upcoming developer events. Resolution by June 30 demands official scores meeting market thresholds, vulnerable to delays in model training or evaluation.
Resumo experimental gerado por IA com dados do Polymarket. Isto não é aconselhamento de trading e não tem qualquer papel na resolução deste mercado. · AtualizadoPontuação do Google Gemini no FrontierMath Benchmark até 30 de junho?
Pontuação do Google Gemini no FrontierMath Benchmark até 30 de junho?
$127,722 Vol.
28 fev 2026
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92%
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17%
$127,722 Vol.
40%+
$30,474 Vol.
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$48,284 Vol.
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$18,709 Vol.
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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 currently trail on the FrontierMath benchmark, with Gemini 3.1 Pro achieving around 37-38% accuracy on Tiers 1-3—expert-level math problems vetted by mathematicians—and lower on the ultra-hard Tier 4 open research challenges, per Epoch AI evaluations as of mid-April 2026. This lags OpenAI's GPT-5.4 at over 50%, reflecting competitive pressures where reasoning chain improvements like Google's Deep Think have boosted scores modestly but not decisively. Trader consensus hinges on Google's rapid iteration pace, seen in recent Gemma 4 open-weight releases signaling frontier research advances, amid rumors of Gemini 4 previews at upcoming developer events. Resolution by June 30 demands official scores meeting market thresholds, vulnerable to delays in model training or evaluation.
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 Aberto: Feb 6, 2026, 6:03 PM ET
Volume
$127,722Data de Término
30 jun 2026Mercado Aberto
Feb 6, 2026, 6:03 PM ETResolver
0x65070BE91...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 currently trail on the FrontierMath benchmark, with Gemini 3.1 Pro achieving around 37-38% accuracy on Tiers 1-3—expert-level math problems vetted by mathematicians—and lower on the ultra-hard Tier 4 open research challenges, per Epoch AI evaluations as of mid-April 2026. This lags OpenAI's GPT-5.4 at over 50%, reflecting competitive pressures where reasoning chain improvements like Google's Deep Think have boosted scores modestly but not decisively. Trader consensus hinges on Google's rapid iteration pace, seen in recent Gemma 4 open-weight releases signaling frontier research advances, amid rumors of Gemini 4 previews at upcoming developer events. Resolution by June 30 demands official scores meeting market thresholds, vulnerable to delays in model training or evaluation.
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.
Volume
$127,722Data de Término
30 jun 2026Mercado Aberto
Feb 6, 2026, 6:03 PM ETResolver
0x65070BE91...Google's Gemini models currently trail on the FrontierMath benchmark, with Gemini 3.1 Pro achieving around 37-38% accuracy on Tiers 1-3—expert-level math problems vetted by mathematicians—and lower on the ultra-hard Tier 4 open research challenges, per Epoch AI evaluations as of mid-April 2026. This lags OpenAI's GPT-5.4 at over 50%, reflecting competitive pressures where reasoning chain improvements like Google's Deep Think have boosted scores modestly but not decisively. Trader consensus hinges on Google's rapid iteration pace, seen in recent Gemma 4 open-weight releases signaling frontier research advances, amid rumors of Gemini 4 previews at upcoming developer events. Resolution by June 30 demands official scores meeting market thresholds, vulnerable to delays in model training or evaluation.
Resumo experimental gerado por IA com dados do Polymarket. Isto não é aconselhamento de trading e não tem qualquer papel na resolução deste mercado. · Atualizado
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