Anthropic’s recent Claude Opus releases have consistently led or topped Humanity’s Last Exam (HLE), a demanding multidisciplinary benchmark of expert-level questions designed to resist saturation. Opus 4.6 (February 2026) set early highs with tools, while Opus 5 (July 2026) currently leads multiple leaderboards at 54.9–64.7% accuracy depending on the evaluation, outpacing rivals like OpenAI’s GPT-5 variants and other frontier models. This pattern reflects Anthropic’s focus on advanced reasoning, agentic coding, and long-context capabilities that translate directly to HLE gains. Traders are watching for the next Opus iteration’s announcement timing, any benchmark updates, or competitive model drops that could shift leadership before resolution criteria are met.
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 गयाक्लाउड ओपस मॉडल: मानवता की अंतिम परीक्षा की शुरुआत?
45%+
43%
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41%
55%+
74%
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70%
$65 वॉल्यूम
45%+
43%
50%+
41%
55%+
74%
60%+
70%
Any Anthropic Claude model newly added to the Humanity’s Last Exam results and labeled as "Opus" may qualify (e.g., claude-opus-5.1, claude-opus-5.5-thinking, claude-opus-6-preview, or similar). Claude models labeled only as Sonnet, Haiku, Fable, Mythos, or another non-Opus variant will not 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. If a model is first added to the Humanity’s Last Exam results but is subsequently removed and not re-added, such that it is not displayed on the site at 12:00 PM ET on the calendar date following its first appearance, its appearance will not qualify as added to the Humanity’s Last Exam results.
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: Aug 17, 2026, 7:25 PM ET
समाधान स्रोत
https://agi.safe.ai/Resolver
0x65070BE91...Any Anthropic Claude model newly added to the Humanity’s Last Exam results and labeled as "Opus" may qualify (e.g., claude-opus-5.1, claude-opus-5.5-thinking, claude-opus-6-preview, or similar). Claude models labeled only as Sonnet, Haiku, Fable, Mythos, or another non-Opus variant will not 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. If a model is first added to the Humanity’s Last Exam results but is subsequently removed and not re-added, such that it is not displayed on the site at 12:00 PM ET on the calendar date following its first appearance, its appearance will not qualify as added to the Humanity’s Last Exam results.
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/Resolver
0x65070BE91...Anthropic’s recent Claude Opus releases have consistently led or topped Humanity’s Last Exam (HLE), a demanding multidisciplinary benchmark of expert-level questions designed to resist saturation. Opus 4.6 (February 2026) set early highs with tools, while Opus 5 (July 2026) currently leads multiple leaderboards at 54.9–64.7% accuracy depending on the evaluation, outpacing rivals like OpenAI’s GPT-5 variants and other frontier models. This pattern reflects Anthropic’s focus on advanced reasoning, agentic coding, and long-context capabilities that translate directly to HLE gains. Traders are watching for the next Opus iteration’s announcement timing, any benchmark updates, or competitive model drops that could shift leadership before resolution criteria are met.
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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