Moonshot AI's rapid release cadence—culminating in the April 20 launch of open-weight Kimi K2.6, which claimed state-of-the-art benchmarks in long-horizon coding (54% HLE with tools), agent swarms, and SWE-Bench Pro (58.6%)—has traders anticipating Kimi K3 as the next frontier large language model. Credible late-April reports suggest a Q3 rollout with 2.5 trillion parameters and potential 1M+ token context, amid intensifying Chinese AI competition from DeepSeek V4 and Qwen. A $2 billion Series C funding round at $20 billion valuation, led by Meituan, bolsters compute resources. Watch for official teasers or benchmarks ahead of summer developer events, as timelines in AI model releases often slip due to training hurdles.
Polymarketデータを参照したAI生成の実験的な要約。これは取引アドバイスではなく、このマーケットの解決方法には一切関係ありません。 · 更新日$38,060 Vol.
June 30
22%
5月31日
18%
$38,060 Vol.
June 30
22%
5月31日
18%
Kimi K3 refers to a product explicitly named Kimi K3 (e.g., Kimi K3.0 would count), or one that is recognized as the new flagship model or a successor to Kimi K2.5, consistent with the progression from Kimi K2 to Kimi K2.5. The release of any model within the Kimi K3 family will qualify as “Kimi K3”.
Products labeled as Kimi K2.6 or similar incremental versions will not count for this market’s resolution.
For this market to resolve to "Yes," Moonshot AI’s Kimi K3 must be launched and publicly accessible, including via open beta or open rolling waitlist signups. A closed beta or any form of private access will not suffice. The release must be clearly defined and publicly announced by Moonshot AI as being accessible to the general public.
If a qualifying model is made publicly accessible and explicitly labeled with the relevant version name within the company’s official website, this will qualify as “publicly announced”. Labeling errors, placeholder text, or version names displayed on the website that do not correspond to a model that is actually accessible to the general public under the rules will not qualify.
The primary resolution source for this market will be official information from Moonshot AI, with additional verification from a consensus of credible reporting.
マーケット開始日: Apr 2, 2026, 6:11 PM ET
Resolver
0x65070BE91...Kimi K3 refers to a product explicitly named Kimi K3 (e.g., Kimi K3.0 would count), or one that is recognized as the new flagship model or a successor to Kimi K2.5, consistent with the progression from Kimi K2 to Kimi K2.5. The release of any model within the Kimi K3 family will qualify as “Kimi K3”.
Products labeled as Kimi K2.6 or similar incremental versions will not count for this market’s resolution.
For this market to resolve to "Yes," Moonshot AI’s Kimi K3 must be launched and publicly accessible, including via open beta or open rolling waitlist signups. A closed beta or any form of private access will not suffice. The release must be clearly defined and publicly announced by Moonshot AI as being accessible to the general public.
If a qualifying model is made publicly accessible and explicitly labeled with the relevant version name within the company’s official website, this will qualify as “publicly announced”. Labeling errors, placeholder text, or version names displayed on the website that do not correspond to a model that is actually accessible to the general public under the rules will not qualify.
The primary resolution source for this market will be official information from Moonshot AI, with additional verification from a consensus of credible reporting.
Resolver
0x65070BE91...Moonshot AI's rapid release cadence—culminating in the April 20 launch of open-weight Kimi K2.6, which claimed state-of-the-art benchmarks in long-horizon coding (54% HLE with tools), agent swarms, and SWE-Bench Pro (58.6%)—has traders anticipating Kimi K3 as the next frontier large language model. Credible late-April reports suggest a Q3 rollout with 2.5 trillion parameters and potential 1M+ token context, amid intensifying Chinese AI competition from DeepSeek V4 and Qwen. A $2 billion Series C funding round at $20 billion valuation, led by Meituan, bolsters compute resources. Watch for official teasers or benchmarks ahead of summer developer events, as timelines in AI model releases often slip due to training hurdles.
Polymarketデータを参照したAI生成の実験的な要約。これは取引アドバイスではなく、このマーケットの解決方法には一切関係ありません。 · 更新日
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