Google's Gemini models established early leadership on Humanity’s Last Exam (HLE), a demanding expert-level benchmark of 2,500+ questions designed to resist saturation, with Gemini 3 Pro reaching 37.5% in November 2025 and Gemini 3 Deep Think/3.1 Pro variants hitting 46–48% by early 2026. Recent releases have focused on Flash and Live variants through September 2026, leaving the next flagship Pro model—likely a Gemini 4 or 3.5 iteration—without a confirmed HLE debut timeline amid rapid iteration cycles. Anthropic’s Claude Fable 5.1 and Opus 5 now lead public leaderboards at 64–65%, intensifying competitive pressure on reasoning benchmarks. Traders watch for official Google announcements, developer conferences, or API previews that could tie a new Pro release to strong HLE results, while noting typical model timelines and the benchmark’s emphasis on genuine multi-step expertise over pattern matching.
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$69,756 交易量
40%+
94%
45%+
92%
50%+
82%
55%+
40%
$69,756 交易量
40%+
94%
45%+
92%
50%+
82%
55%+
40%
If a model first appears on the site but is removed before 12:00 PM ET on the following calendar date, its appearance will not qualify as added to the Humanity’s Last Exam results.
Any Gemini model labeled as "Pro" may qualify (e.g., gemini-3.2-pro, gemini-3.5-pro, or gemini-4.0-pro-preview). Gemini models labeled only as Flash, Flash-Lite, or another non-Pro variant will not qualify. Products labeled as a GA promotion of an already-existing Preview model (e.g., gemini-3.1-pro-ga) may qualify.
The percentage displayed as “HLE Accuracy” for the model in its result card on the “AI Progress on Humanity’s Last Exam” chart at https://agi.safe.ai/ will be used to resolve this market. This market will resolve solely based on the displayed HLE Accuracy, regardless of the model’s Calibration Error, chart position, other configuration scores, or any underlying granular or unrounded data presented elsewhere.
If multiple qualifying models are added to the Humanity’s Last Exam results on the same calendar date (ET), the model with the highest HLE Accuracy will be used for resolution. Models added to the results on the calendar date following the initial qualifying model’s first appearance will not be considered.
A qualifying model must be newly added to the Humanity’s Last Exam results at https://agi.safe.ai/. Whether the model was previously released, publicly accessible, in beta, or otherwise available before appearing on the site is irrelevant for this market.
The resolution source for this market is the official Humanity’s Last Exam website found at https://agi.safe.ai/. If this resolution source is unavailable at 12:00 PM ET on the calendar date following the date on which the qualifying model first appears on the site, this market will resolve based on the first subsequent instance at which the model’s HLE Accuracy becomes available on the site. If it remains unavailable through the end of the seventh day after the qualifying model first appears on the site or if no qualifying model is added by December 31, 2026, 11:59 PM ET, this market will resolve to "No".
市場開放時間: Jul 29, 2026, 7:00 PM ET
If a model first appears on the site but is removed before 12:00 PM ET on the following calendar date, its appearance will not qualify as added to the Humanity’s Last Exam results.
Any Gemini model labeled as "Pro" may qualify (e.g., gemini-3.2-pro, gemini-3.5-pro, or gemini-4.0-pro-preview). Gemini models labeled only as Flash, Flash-Lite, or another non-Pro variant will not qualify. Products labeled as a GA promotion of an already-existing Preview model (e.g., gemini-3.1-pro-ga) may qualify.
The percentage displayed as “HLE Accuracy” for the model in its result card on the “AI Progress on Humanity’s Last Exam” chart at https://agi.safe.ai/ will be used to resolve this market. This market will resolve solely based on the displayed HLE Accuracy, regardless of the model’s Calibration Error, chart position, other configuration scores, or any underlying granular or unrounded data presented elsewhere.
If multiple qualifying models are added to the Humanity’s Last Exam results on the same calendar date (ET), the model with the highest HLE Accuracy will be used for resolution. Models added to the results on the calendar date following the initial qualifying model’s first appearance will not be considered.
A qualifying model must be newly added to the Humanity’s Last Exam results at https://agi.safe.ai/. Whether the model was previously released, publicly accessible, in beta, or otherwise available before appearing on the site is irrelevant for this market.
The resolution source for this market is the official Humanity’s Last Exam website found at https://agi.safe.ai/. If this resolution source is unavailable at 12:00 PM ET on the calendar date following the date on which the qualifying model first appears on the site, this market will resolve based on the first subsequent instance at which the model’s HLE Accuracy becomes available on the site. If it remains unavailable through the end of the seventh day after the qualifying model first appears on the site or if no qualifying model is added by December 31, 2026, 11:59 PM ET, this market will resolve to "No".
Google's Gemini models established early leadership on Humanity’s Last Exam (HLE), a demanding expert-level benchmark of 2,500+ questions designed to resist saturation, with Gemini 3 Pro reaching 37.5% in November 2025 and Gemini 3 Deep Think/3.1 Pro variants hitting 46–48% by early 2026. Recent releases have focused on Flash and Live variants through September 2026, leaving the next flagship Pro model—likely a Gemini 4 or 3.5 iteration—without a confirmed HLE debut timeline amid rapid iteration cycles. Anthropic’s Claude Fable 5.1 and Opus 5 now lead public leaderboards at 64–65%, intensifying competitive pressure on reasoning benchmarks. Traders watch for official Google announcements, developer conferences, or API previews that could tie a new Pro release to strong HLE results, while noting typical model timelines and the benchmark’s emphasis on genuine multi-step expertise over pattern matching.
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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警惕外部連結哦。
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