Anthropic’s July 2026 release of Claude Opus 5, positioned as approaching Fable 5 frontier performance at lower cost with a 1M-token context window and enhanced reasoning modes, has positioned it as a current HLE leader at scores around 55–65% across independent leaderboards. This follows a rapid 2026 cadence of Opus 4.x iterations that already topped early HLE results, reflecting Anthropic’s focus on agentic coding, tool use, and adaptive effort scaling. Traders track whether the subsequent Opus release will be the first to cross key resolution thresholds on the 2,500-question expert benchmark before rivals like OpenAI’s GPT series or Google models, amid ongoing competitive pressure and potential new model announcements or HLE updates that could shift implied probabilities.
Ringkasan eksperimental yang dihasilkan AI dengan referensi data Polymarket. Ini bukan saran trading dan tidak berperan dalam bagaimana pasar ini diselesaikan. · DiperbaruiNext Claude Opus Model: Humanity’s Last Exam Debut?
45%+
90%
50%+
92%
55%+
70%
60%+
20%
$434 Vol.
45%+
90%
50%+
92%
55%+
70%
60%+
20%
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".
Pasar Dibuka: Aug 17, 2026, 7:25 PM ET
Sumber Resolusi
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".
Sumber Resolusi
https://agi.safe.ai/Resolver
0x65070BE91...Anthropic’s July 2026 release of Claude Opus 5, positioned as approaching Fable 5 frontier performance at lower cost with a 1M-token context window and enhanced reasoning modes, has positioned it as a current HLE leader at scores around 55–65% across independent leaderboards. This follows a rapid 2026 cadence of Opus 4.x iterations that already topped early HLE results, reflecting Anthropic’s focus on agentic coding, tool use, and adaptive effort scaling. Traders track whether the subsequent Opus release will be the first to cross key resolution thresholds on the 2,500-question expert benchmark before rivals like OpenAI’s GPT series or Google models, amid ongoing competitive pressure and potential new model announcements or HLE updates that could shift implied probabilities.
Ringkasan eksperimental yang dihasilkan AI dengan referensi data Polymarket. Ini bukan saran trading dan tidak berperan dalam bagaimana pasar ini diselesaikan. · Diperbarui


Hati-hati dengan link eksternal.
Hati-hati dengan link eksternal.
Pertanyaan yang Sering Diajukan