Moonshot AI’s recent $500 million Series C funding round in January 2026, earmarked for expanded compute and Kimi K3 development, underpins trader focus on a potential mid-2026 release of the anticipated large-scale multimodal model. Following the open-source launch of Kimi K2.6 in April with improvements to long-horizon coding and agent workflows, the company has demonstrated rapid iteration without confirming any K3 timeline or specifications such as parameter count or context length. In China’s competitive large language model landscape, Moonshot faces pressure from DeepSeek and Qwen updates, where community speculation centers on a 2.5-trillion-parameter system possibly targeting one-million-token context. Traders are monitoring for developer previews, benchmark releases, or executive statements that could clarify whether the model reaches public availability before the June 30 resolution window.
Résumé expérimental généré par IA à partir des données Polymarket. Ceci n'est pas un conseil de trading et ne joue aucun rôle dans la résolution de ce marché. · Mis à jour$45,408 Vol.
June 30
24%
31 mai
1%
$45,408 Vol.
June 30
24%
31 mai
1%
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.
Marché ouvert : 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 recent $500 million Series C funding round in January 2026, earmarked for expanded compute and Kimi K3 development, underpins trader focus on a potential mid-2026 release of the anticipated large-scale multimodal model. Following the open-source launch of Kimi K2.6 in April with improvements to long-horizon coding and agent workflows, the company has demonstrated rapid iteration without confirming any K3 timeline or specifications such as parameter count or context length. In China’s competitive large language model landscape, Moonshot faces pressure from DeepSeek and Qwen updates, where community speculation centers on a 2.5-trillion-parameter system possibly targeting one-million-token context. Traders are monitoring for developer previews, benchmark releases, or executive statements that could clarify whether the model reaches public availability before the June 30 resolution window.
Résumé expérimental généré par IA à partir des données Polymarket. Ceci n'est pas un conseil de trading et ne joue aucun rôle dans la résolution de ce marché. · Mis à jour
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