Moonshot AI’s rapid iteration on its Kimi large language model series, capped by the July 2026 launch of the 2.8-trillion-parameter Kimi K3 MoE with 1M-token context, native vision, and frontier-competitive benchmarks on coding and agentic tasks, sets expectations for K4. Traders are watching reports that the company is securing additional Nvidia Blackwell capacity for a significantly larger successor still in development, with no official announcement, model card, or release date as of early September 2026. Competitive pressure from OpenAI’s GPT-5.6, Anthropic’s Claude models, and rival Chinese labs like DeepSeek continues to accelerate timelines, while K3’s open-weight release under a custom license and subsequent compute constraints highlight scaling challenges. Key catalysts include potential developer conference reveals, funding or IPO updates, and any leaked training details that could shift implied probabilities on release windows.
基于Polymarket数据的AI实验性摘要。这不是交易建议,也不影响该市场的结算方式。 · 更新于$17,498 交易量
2026年10月31日
3%
2026年12月31日
14%
$17,498 交易量
2026年10月31日
3%
2026年12月31日
14%
Kimi K4 refers to a product explicitly named Kimi K4 (e.g., Kimi K4.0 would count), or one that is recognized as the new flagship model or a successor to Kimi K3.0, consistent with the progression from Kimi K2 to Kimi K3. The release of any model within the Kimi K4 family will qualify as “Kimi K4”.
Products labeled as Kimi K3.5 or similar incremental versions will not count for this market’s resolution.
A qualifying model 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 either clearly defined and publicly announced by Moonshot AI as being accessible to the general public or otherwise made publicly accessible and explicitly labeled within the company’s official website. 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 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.
市场开放时间: Jul 24, 2026, 6:02 PM ET
Kimi K4 refers to a product explicitly named Kimi K4 (e.g., Kimi K4.0 would count), or one that is recognized as the new flagship model or a successor to Kimi K3.0, consistent with the progression from Kimi K2 to Kimi K3. The release of any model within the Kimi K4 family will qualify as “Kimi K4”.
Products labeled as Kimi K3.5 or similar incremental versions will not count for this market’s resolution.
A qualifying model 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 either clearly defined and publicly announced by Moonshot AI as being accessible to the general public or otherwise made publicly accessible and explicitly labeled within the company’s official website. 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 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.
Moonshot AI’s rapid iteration on its Kimi large language model series, capped by the July 2026 launch of the 2.8-trillion-parameter Kimi K3 MoE with 1M-token context, native vision, and frontier-competitive benchmarks on coding and agentic tasks, sets expectations for K4. Traders are watching reports that the company is securing additional Nvidia Blackwell capacity for a significantly larger successor still in development, with no official announcement, model card, or release date as of early September 2026. Competitive pressure from OpenAI’s GPT-5.6, Anthropic’s Claude models, and rival Chinese labs like DeepSeek continues to accelerate timelines, while K3’s open-weight release under a custom license and subsequent compute constraints highlight scaling challenges. Key catalysts include potential developer conference reveals, funding or IPO updates, and any leaked training details that could shift implied probabilities on release windows.
基于Polymarket数据的AI实验性摘要。这不是交易建议,也不影响该市场的结算方式。 · 更新于


警惕外部链接哦。
警惕外部链接哦。
常见问题