OpenAI’s GPT-5.5 Pro currently leads FrontierMath, a benchmark of unpublished research-level mathematics problems from Epoch AI, with scores near 52 percent after recent model iterations that leverage greater test-time compute and refined chain-of-thought reasoning. This positions the company ahead of close rivals including Anthropic’s Claude Opus series and Google’s Gemini models, which trail by only a few points amid rapid frontier-lab progress. Traders are watching for any new GPT variant or internal scaling update before June 30 that could push scores higher, while noting that benchmark saturation and potential scaffold changes introduce uncertainty even at current levels.
基於Polymarket數據的AI實驗性摘要。這不是交易建議，也不影響該市場的結算方式。 · 更新於$35,531 交易量
2026-02-28
60%+
47%
70%+
24%
$35,531 交易量
60%+
$25,783 交易量
47%
70%+
$9,748 交易量
24%
This market will resolve to "Yes" if any OpenAI GPT 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a consensus of credible reporting may also be used.OpenAI’s GPT-5.5 Pro currently leads FrontierMath, a benchmark of unpublished research-level mathematics problems from Epoch AI, with scores near 52 percent after recent model iterations that leverage greater test-time compute and refined chain-of-thought reasoning. This positions the company ahead of close rivals including Anthropic’s Claude Opus series and Google’s Gemini models, which trail by only a few points amid rapid frontier-lab progress. Traders are watching for any new GPT variant or internal scaling update before June 30 that could push scores higher, while noting that benchmark saturation and potential scaffold changes introduce uncertainty even at current levels.
This market will resolve to "Yes" if any OpenAI GPT 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.
市場開放時間： Jan 29, 2026, 12:47 PM ET
交易量
$35,531結束日期
2026-06-30市場開放時間
Jan 29, 2026, 12:47 PM ETResolver
0x65070BE91...This market will resolve to "Yes" if any OpenAI GPT 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.OpenAI’s GPT-5.5 Pro currently leads FrontierMath, a benchmark of unpublished research-level mathematics problems from Epoch AI, with scores near 52 percent after recent model iterations that leverage greater test-time compute and refined chain-of-thought reasoning. This positions the company ahead of close rivals including Anthropic’s Claude Opus series and Google’s Gemini models, which trail by only a few points amid rapid frontier-lab progress. Traders are watching for any new GPT variant or internal scaling update before June 30 that could push scores higher, while noting that benchmark saturation and potential scaffold changes introduce uncertainty even at current levels.
This market will resolve to "Yes" if any OpenAI GPT 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
$35,531結束日期
2026-06-30市場開放時間
Jan 29, 2026, 12:47 PM ETResolver
0x65070BE91...OpenAI’s GPT-5.5 Pro currently leads FrontierMath, a benchmark of unpublished research-level mathematics problems from Epoch AI, with scores near 52 percent after recent model iterations that leverage greater test-time compute and refined chain-of-thought reasoning. This positions the company ahead of close rivals including Anthropic’s Claude Opus series and Google’s Gemini models, which trail by only a few points amid rapid frontier-lab progress. Traders are watching for any new GPT variant or internal scaling update before June 30 that could push scores higher, while noting that benchmark saturation and potential scaffold changes introduce uncertainty even at current levels.
基於Polymarket數據的AI實驗性摘要。這不是交易建議，也不影響該市場的結算方式。 · 更新於
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