Moonshot AI has not released Kimi K3 as of May 14, 2026, keeping trader sentiment anchored to post-April 20 Kimi K2.6 launch dynamics, where the open-source mixture-of-experts model delivered state-of-the-art coding benchmarks like 58.6% on SWE-Bench Pro and multi-agent swarms for complex tasks. January's $500 million Series C funding explicitly targeted K3 development, fueling rumors of a Q3 debut with 2.5 trillion parameters and extended context lengths amid China's frontier AI race against DeepSeek V4 and Qwen. No official timeline exists, but competitive pressures and compute expansions could prompt previews; delays remain common in scaling large language models to trillion-parameter regimes.
Resumen experimental generado por IA con datos de Polymarket. Esto no es asesoramiento de trading y no influye en cómo se resuelve este mercado. · Actualizado$39,702 Vol.
June 30
11%
31 de mayo
7%
$39,702 Vol.
June 30
11%
31 de mayo
7%
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.
Mercado abierto: 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 has not released Kimi K3 as of May 14, 2026, keeping trader sentiment anchored to post-April 20 Kimi K2.6 launch dynamics, where the open-source mixture-of-experts model delivered state-of-the-art coding benchmarks like 58.6% on SWE-Bench Pro and multi-agent swarms for complex tasks. January's $500 million Series C funding explicitly targeted K3 development, fueling rumors of a Q3 debut with 2.5 trillion parameters and extended context lengths amid China's frontier AI race against DeepSeek V4 and Qwen. No official timeline exists, but competitive pressures and compute expansions could prompt previews; delays remain common in scaling large language models to trillion-parameter regimes.
Resumen experimental generado por IA con datos de Polymarket. Esto no es asesoramiento de trading y no influye en cómo se resuelve este mercado. · Actualizado
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