Google's rapid iteration on the Gemini family, including the Gemini 3 series in late 2025 and 3.1 Pro updates in early 2026 that posted competitive or leading scores on Humanity’s Last Exam (HLE) at the time, continues to shape expectations for the next Pro model. HLE remains a demanding expert-level benchmark with frontier scores now in the mid-60% range, led by recent Anthropic Claude variants. Traders are watching for whether Google’s anticipated fall 2026 flagship—potentially Gemini 4 or a delayed 3.5 Pro—will launch with new HLE results, tool-use gains, or a top leaderboard position amid ongoing competition from OpenAI and Anthropic releases. Recent 3.8 Flash and Live models emphasize agentic and reasoning capabilities but have not reset the HLE frontier.
Resumen experimental generado por IA con datos de Polymarket. Esto no es asesoramiento de trading y no influye en cómo se resuelve este mercado. · Actualizado$68,418 Vol.
40%+
94%
45%+
92%
50%+
83%
55%+
31%
$68,418 Vol.
40%+
94%
45%+
92%
50%+
83%
55%+
31%
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".
Mercado abierto: Jul 29, 2026, 7:00 PM ET
Fuente de resolución
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".
Fuente de resolución
https://agi.safe.ai/Resolver
0x65070BE91...Google's rapid iteration on the Gemini family, including the Gemini 3 series in late 2025 and 3.1 Pro updates in early 2026 that posted competitive or leading scores on Humanity’s Last Exam (HLE) at the time, continues to shape expectations for the next Pro model. HLE remains a demanding expert-level benchmark with frontier scores now in the mid-60% range, led by recent Anthropic Claude variants. Traders are watching for whether Google’s anticipated fall 2026 flagship—potentially Gemini 4 or a delayed 3.5 Pro—will launch with new HLE results, tool-use gains, or a top leaderboard position amid ongoing competition from OpenAI and Anthropic releases. Recent 3.8 Flash and Live models emphasize agentic and reasoning capabilities but have not reset the HLE frontier.
Resumen experimental generado por IA con datos de Polymarket. Esto no es asesoramiento de trading y no influye en cómo se resuelve este mercado. · Actualizado


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