Anthropic’s rapid iteration in the Claude Opus lineup continues to shape trader views on its next model’s Humanity’s Last Exam (HLE) debut, a 2,500-question expert benchmark spanning over 100 subjects designed to test graduate-level reasoning. The July 2026 release of Claude Opus 5 quickly claimed the top HLE spot at 64.7 percent accuracy, edging out variants like Claude Mythos 5 and outpacing GPT-5 and Gemini 3 series entries amid fierce frontier lab competition. Prior Opus updates, including 4.8 in May and 4.6 earlier in the year, demonstrated consistent gains in tool-augmented and thinking-mode evaluations on this benchmark. Key upcoming catalysts include any new Opus versioning, developer conferences, or official Anthropic announcements that could shift leaderboard positioning before resolution.
Experimental AI-generated summary referencing Polymarket data. This is not trading advice and plays no role in how this market resolves. · UpdatedNext Claude Opus: Humanity’s Last Exam Debut?
$12,552 Vol.
35%+
97%
40%+
94%
45%+
91%
50%+
52%
55%+
14%
$12,552 Vol.
35%+
97%
40%+
94%
45%+
91%
50%+
52%
55%+
14%
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 Anthropic Claude model newly added to the Humanity’s Last Exam results and labeled as "Opus" may qualify (e.g., claude-opus-4.9, claude-opus-5.0-thinking, claude-opus-5.1-preview, or similar). Claude models labeled only as Sonnet, Haiku, 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.
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".
Market Opened: Jul 23, 2026, 6:36 PM ET
Resolution Source
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 Anthropic Claude model newly added to the Humanity’s Last Exam results and labeled as "Opus" may qualify (e.g., claude-opus-4.9, claude-opus-5.0-thinking, claude-opus-5.1-preview, or similar). Claude models labeled only as Sonnet, Haiku, 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.
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".
Resolution Source
https://agi.safe.ai/Resolver
0x65070BE91...Anthropic’s rapid iteration in the Claude Opus lineup continues to shape trader views on its next model’s Humanity’s Last Exam (HLE) debut, a 2,500-question expert benchmark spanning over 100 subjects designed to test graduate-level reasoning. The July 2026 release of Claude Opus 5 quickly claimed the top HLE spot at 64.7 percent accuracy, edging out variants like Claude Mythos 5 and outpacing GPT-5 and Gemini 3 series entries amid fierce frontier lab competition. Prior Opus updates, including 4.8 in May and 4.6 earlier in the year, demonstrated consistent gains in tool-augmented and thinking-mode evaluations on this benchmark. Key upcoming catalysts include any new Opus versioning, developer conferences, or official Anthropic announcements that could shift leaderboard positioning before resolution.
Experimental AI-generated summary referencing Polymarket data. This is not trading advice and plays no role in how this market resolves. · Updated


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