Moonshot AI’s July 2026 release of the 2.8-trillion-parameter Kimi K3 large language model, with its 1-million-token context window, native multimodal capabilities, and Stable LatentMoE architecture, has anchored trader views on the Kimi series’ Humanity’s Last Exam performance. The model has posted HLE scores in the 46–56% range across public leaderboards—often with tool augmentation—placing it behind leading Claude Fable 5.1 and Opus 5 variants (mid-60s) but ahead of most other open-weight systems. Recent availability on Amazon Bedrock and the September Kimi K2.8 Preview underscore ongoing iteration in coding and agentic workflows. With open weights enabling community fine-tuning and further tool-use refinements before year-end, traders weigh the potential for incremental gains against HLE’s difficulty and the gap to closed frontier models.
Polymarket ডেটা রেফারেন্স করে পরীক্ষামূলক AI-জেনারেটেড সারাংশ। এটি ট্রেডিং পরামর্শ নয় এবং এই মার্কেট কীভাবে রেজলভ হয় তাতে কোনো ভূমিকা রাখে না। · আপডেটেড$63,866 Vol.
45%+
85%
50%+
38%
55%+
20%
60%+
11%
65%+
7%
$63,866 Vol.
45%+
85%
50%+
38%
55%+
20%
60%+
11%
65%+
7%
For resolution, “accuracy” refers solely to the value labeled “HLE Accuracy” or a clear equivalent metric if the data’s presentation or terminology is restructured, regardless of the model’s Calibration Error or any other displayed metric.
The resolution source will be the official Humanity’s Last Exam leaderboard at https://agi.safe.ai/. If the resolution source becomes unavailable during the listed timeframe, this market will remain open to allow the relevant data to become available again. If the source remains unavailable after the end of the listed timeframe or is otherwise confirmed to be permanently unavailable, official Humanity’s Last Exam results published elsewhere may be used. If no official alternative source is available, this market will resolve to "No".
মার্কেট ওপেন হয়েছে: Jul 23, 2026, 6:43 PM ET
রেজোলিউশন সোর্স
https://agi.safe.ai/রেজলভার
0x65070BE91...For resolution, “accuracy” refers solely to the value labeled “HLE Accuracy” or a clear equivalent metric if the data’s presentation or terminology is restructured, regardless of the model’s Calibration Error or any other displayed metric.
The resolution source will be the official Humanity’s Last Exam leaderboard at https://agi.safe.ai/. If the resolution source becomes unavailable during the listed timeframe, this market will remain open to allow the relevant data to become available again. If the source remains unavailable after the end of the listed timeframe or is otherwise confirmed to be permanently unavailable, official Humanity’s Last Exam results published elsewhere may be used. If no official alternative source is available, this market will resolve to "No".
রেজোলিউশন সোর্স
https://agi.safe.ai/রেজলভার
0x65070BE91...Moonshot AI’s July 2026 release of the 2.8-trillion-parameter Kimi K3 large language model, with its 1-million-token context window, native multimodal capabilities, and Stable LatentMoE architecture, has anchored trader views on the Kimi series’ Humanity’s Last Exam performance. The model has posted HLE scores in the 46–56% range across public leaderboards—often with tool augmentation—placing it behind leading Claude Fable 5.1 and Opus 5 variants (mid-60s) but ahead of most other open-weight systems. Recent availability on Amazon Bedrock and the September Kimi K2.8 Preview underscore ongoing iteration in coding and agentic workflows. With open weights enabling community fine-tuning and further tool-use refinements before year-end, traders weigh the potential for incremental gains against HLE’s difficulty and the gap to closed frontier models.
Polymarket ডেটা রেফারেন্স করে পরীক্ষামূলক AI-জেনারেটেড সারাংশ। এটি ট্রেডিং পরামর্শ নয় এবং এই মার্কেট কীভাবে রেজলভ হয় তাতে কোনো ভূমিকা রাখে না। · আপডেটেড



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