OpenAI's GPT-5.4 Pro set a new FrontierMath benchmark record on March 5, 2026, achieving 50% accuracy on Tiers 1-3 and 38% on the ultra-challenging Tier 4—problems vetted by expert mathematicians that previously topped out at 31% for GPT-5.2 Pro. This leap reflects rapid scaling in large language model mathematical reasoning, including solving a long-open research problem confirmed by Epoch AI, yet leaves a substantial gap to 70% overall, fueling trader caution amid aggressive model iteration. Competitors like Anthropic's Claude Opus 4.6 trail at 40% on early tiers, while upcoming releases—potentially GPT-5.5 or beyond—before June 30 could close the divide, though benchmark contamination risks and evaluation variances add uncertainty to market-implied odds.
基于Polymarket数据的AI实验性摘要 · 更新于$17,599 交易量
60%+
53%
70%+
15%
$17,599 交易量
60%+
53%
70%+
15%
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.
市场开放时间: Jan 29, 2026, 12:47 PM ET
Resolver
0x65070BE91...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.
Resolver
0x65070BE91...OpenAI's GPT-5.4 Pro set a new FrontierMath benchmark record on March 5, 2026, achieving 50% accuracy on Tiers 1-3 and 38% on the ultra-challenging Tier 4—problems vetted by expert mathematicians that previously topped out at 31% for GPT-5.2 Pro. This leap reflects rapid scaling in large language model mathematical reasoning, including solving a long-open research problem confirmed by Epoch AI, yet leaves a substantial gap to 70% overall, fueling trader caution amid aggressive model iteration. Competitors like Anthropic's Claude Opus 4.6 trail at 40% on early tiers, while upcoming releases—potentially GPT-5.5 or beyond—before June 30 could close the divide, though benchmark contamination risks and evaluation variances add uncertainty to market-implied odds.
基于Polymarket数据的AI实验性摘要 · 更新于
警惕外部链接哦。
警惕外部链接哦。
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