Google's next Gemini Pro model faces heightened scrutiny on Humanity’s Last Exam (HLE), a 2,500-question expert-level benchmark from the Center for AI Safety and Scale AI designed to resist saturation with deep reasoning across math, physics, biology, and other domains. Recent Gemini variants, including the 3.1 Pro and 3 Deep Think releases earlier in 2026, posted competitive HLE scores around 45-48% without tools, briefly leading or close to the frontier before Anthropic’s Claude Fable 5.1 and Opus 5 models pulled ahead to the mid-60s percent range by September. Traders are watching for whether the delayed Gemini 3.5 Pro or subsequent Pro update will incorporate advances in chain-of-thought reasoning or agentic capabilities sufficient to reclaim the top spot, especially amid Google’s September rollout of specialized 3.8 Live audio models and ongoing training on Gemini 4. Resolution hinges on official benchmark submissions and verified model capabilities rather than marketing claims.
Polymarket डेटा का संदर्भ देने वाला प्रयोगात्मक AI-जनरेटेड सारांश। यह ट्रेडिंग सलाह नहीं है और इस बाज़ार के समाधान में कोई भूमिका नहीं निभाता। · अपडेट किया गया$60,105 वॉल्यूम
40%+
81%
45%+
74%
50%+
68%
55%+
35%
$60,105 वॉल्यूम
40%+
81%
45%+
74%
50%+
68%
55%+
35%
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".
बाज़ार खुला: Jul 29, 2026, 7:00 PM ET
समाधान स्रोत
https://agi.safe.ai/रिज़ॉल्वर
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".
समाधान स्रोत
https://agi.safe.ai/रिज़ॉल्वर
0x65070BE91...Google's next Gemini Pro model faces heightened scrutiny on Humanity’s Last Exam (HLE), a 2,500-question expert-level benchmark from the Center for AI Safety and Scale AI designed to resist saturation with deep reasoning across math, physics, biology, and other domains. Recent Gemini variants, including the 3.1 Pro and 3 Deep Think releases earlier in 2026, posted competitive HLE scores around 45-48% without tools, briefly leading or close to the frontier before Anthropic’s Claude Fable 5.1 and Opus 5 models pulled ahead to the mid-60s percent range by September. Traders are watching for whether the delayed Gemini 3.5 Pro or subsequent Pro update will incorporate advances in chain-of-thought reasoning or agentic capabilities sufficient to reclaim the top spot, especially amid Google’s September rollout of specialized 3.8 Live audio models and ongoing training on Gemini 4. Resolution hinges on official benchmark submissions and verified model capabilities rather than marketing claims.
Polymarket डेटा का संदर्भ देने वाला प्रयोगात्मक AI-जनरेटेड सारांश। यह ट्रेडिंग सलाह नहीं है और इस बाज़ार के समाधान में कोई भूमिका नहीं निभाता। · अपडेट किया गया


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