Google's Gemini Pro lineup has established a pattern of spotlighting Humanity's Last Exam (HLE) scores in major releases, with Gemini 3 Pro achieving 37.5–38.3% in November 2025 and Gemini 3.1 Pro reaching 44.4% in preview by mid-2026, often outpacing prior versions on this expert-level reasoning benchmark. Traders focus on whether the next Pro iteration (potentially 3.5) will follow suit amid competition from Anthropic's Claude and OpenAI's GPT series, where HLE serves as a leading indicator of frontier capabilities in math, science, and multimodal tasks. Recent Deep Think enhancements and preview rollouts underscore Google's emphasis on verifiable benchmark gains, though model timelines and exact resolution criteria around "debut" introduce uncertainty for positions.
Experimentelle KI-generierte Zusammenfassung mit Polymarket-Daten. Dies ist keine Handelsberatung und spielt keine Rolle bei der Auflösung dieses Marktes. · Aktualisiert$39,282 Vol.
40%+
91%
45%+
86%
50%+
71%
55%+
43%
$39,282 Vol.
40%+
91%
45%+
86%
50%+
71%
55%+
43%
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".
Markt eröffnet: Jul 29, 2026, 7:00 PM ET
Abwicklungsquelle
https://agi.safe.ai/Resolver
0x65070BE91...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".
Abwicklungsquelle
https://agi.safe.ai/Resolver
0x65070BE91...Google's Gemini Pro lineup has established a pattern of spotlighting Humanity's Last Exam (HLE) scores in major releases, with Gemini 3 Pro achieving 37.5–38.3% in November 2025 and Gemini 3.1 Pro reaching 44.4% in preview by mid-2026, often outpacing prior versions on this expert-level reasoning benchmark. Traders focus on whether the next Pro iteration (potentially 3.5) will follow suit amid competition from Anthropic's Claude and OpenAI's GPT series, where HLE serves as a leading indicator of frontier capabilities in math, science, and multimodal tasks. Recent Deep Think enhancements and preview rollouts underscore Google's emphasis on verifiable benchmark gains, though model timelines and exact resolution criteria around "debut" introduce uncertainty for positions.
Experimentelle KI-generierte Zusammenfassung mit Polymarket-Daten. Dies ist keine Handelsberatung und spielt keine Rolle bei der Auflösung dieses Marktes. · Aktualisiert



Vorsicht bei externen Links.
Vorsicht bei externen Links.
Häufig gestellte Fragen