Google DeepMind's Gemini 3.1 Pro currently scores around 19% on FrontierMath's challenging Tier 4—research-level math problems unsolved by experts for decades—trailing OpenAI's GPT-5.4 leaderboard lead of 47.6% overall, per recent evaluations. This reflects base large language model performance without agentic scaffolding, where a new May 2026 DeepMind AI Co-Mathematician workbench doubled the score to 48% via multi-agent coordination, literature search, and iterative review, though standard benchmarks evaluate raw capabilities. Trader consensus hinges on competitive math reasoning dynamics, with Gemini excelling in agent-augmented setups but lagging pure model frontiers. Google I/O on May 19-20 could reveal Gemini 4 previews or math-focused updates, potentially shifting implied probabilities before the June 30 cutoff.
Eksperymentalne podsumowanie AI odwołujące się do danych Polymarket. To nie jest porada handlowa i nie ma wpływu na rozstrzyganie tego rynku. · ZaktualizowanoGoogle Gemini score on FrontierMath Benchmark by June 30?
Google Gemini score on FrontierMath Benchmark by June 30?
$136,324 Wol.
Feb 28, 2026
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86%
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64%
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54%
$136,324 Wol.
40%+
$30,573 Wol.
86%
45%+
$49,669 Wol.
64%
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$18,855 Wol.
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$37,227 Wol.
54%
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 DeepMind's Gemini 3.1 Pro currently scores around 19% on FrontierMath's challenging Tier 4—research-level math problems unsolved by experts for decades—trailing OpenAI's GPT-5.4 leaderboard lead of 47.6% overall, per recent evaluations. This reflects base large language model performance without agentic scaffolding, where a new May 2026 DeepMind AI Co-Mathematician workbench doubled the score to 48% via multi-agent coordination, literature search, and iterative review, though standard benchmarks evaluate raw capabilities. Trader consensus hinges on competitive math reasoning dynamics, with Gemini excelling in agent-augmented setups but lagging pure model frontiers. Google I/O on May 19-20 could reveal Gemini 4 previews or math-focused updates, potentially shifting implied probabilities before the June 30 cutoff.
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.
Rynek otwarty: Feb 6, 2026, 6:03 PM ET
Wolumen
$136,324Data zakończenia
Jun 30, 2026Rynek otwarty
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 DeepMind's Gemini 3.1 Pro currently scores around 19% on FrontierMath's challenging Tier 4—research-level math problems unsolved by experts for decades—trailing OpenAI's GPT-5.4 leaderboard lead of 47.6% overall, per recent evaluations. This reflects base large language model performance without agentic scaffolding, where a new May 2026 DeepMind AI Co-Mathematician workbench doubled the score to 48% via multi-agent coordination, literature search, and iterative review, though standard benchmarks evaluate raw capabilities. Trader consensus hinges on competitive math reasoning dynamics, with Gemini excelling in agent-augmented setups but lagging pure model frontiers. Google I/O on May 19-20 could reveal Gemini 4 previews or math-focused updates, potentially shifting implied probabilities before the June 30 cutoff.
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.
Wolumen
$136,324Data zakończenia
Jun 30, 2026Rynek otwarty
Feb 6, 2026, 6:03 PM ETResolver
0x65070BE91...Google DeepMind's Gemini 3.1 Pro currently scores around 19% on FrontierMath's challenging Tier 4—research-level math problems unsolved by experts for decades—trailing OpenAI's GPT-5.4 leaderboard lead of 47.6% overall, per recent evaluations. This reflects base large language model performance without agentic scaffolding, where a new May 2026 DeepMind AI Co-Mathematician workbench doubled the score to 48% via multi-agent coordination, literature search, and iterative review, though standard benchmarks evaluate raw capabilities. Trader consensus hinges on competitive math reasoning dynamics, with Gemini excelling in agent-augmented setups but lagging pure model frontiers. Google I/O on May 19-20 could reveal Gemini 4 previews or math-focused updates, potentially shifting implied probabilities before the June 30 cutoff.
Eksperymentalne podsumowanie AI odwołujące się do danych Polymarket. To nie jest porada handlowa i nie ma wpływu na rozstrzyganie tego rynku. · Zaktualizowano
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