Moonshot AI's April 20 launch of Kimi K2.6—a 1-trillion-parameter open-weight mixture-of-experts large language model delivering state-of-the-art coding benchmarks like 58.6% on SWE-Bench Pro and advanced agent swarms—has cooled trader enthusiasm for an imminent Kimi K3 release, anchoring market-implied odds to modest levels for near-term outcomes. The absence of official teasers, training milestones, or API previews since then underscores compute scaling challenges, even after the firm's May 7 $2 billion Series C funding at a $20 billion valuation to bolster GPU infrastructure. Competitive dynamics with fast-iterating Chinese AI labs heighten anticipation, but traders await developer betas or leaks as key catalysts before month-end deadlines.
Riepilogo sperimentale generato dall'AI con riferimento ai dati di Polymarket. Questo non è un consiglio di trading e non ha alcun ruolo nella risoluzione di questo mercato. · AggiornatoKimi K3 released by…?
Kimi K3 released by…?
$39,643 Vol.
June 30
11%
31 maggio
7%
$39,643 Vol.
June 30
11%
31 maggio
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.
Mercato aperto: 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 April 20 launch of Kimi K2.6—a 1-trillion-parameter open-weight mixture-of-experts large language model delivering state-of-the-art coding benchmarks like 58.6% on SWE-Bench Pro and advanced agent swarms—has cooled trader enthusiasm for an imminent Kimi K3 release, anchoring market-implied odds to modest levels for near-term outcomes. The absence of official teasers, training milestones, or API previews since then underscores compute scaling challenges, even after the firm's May 7 $2 billion Series C funding at a $20 billion valuation to bolster GPU infrastructure. Competitive dynamics with fast-iterating Chinese AI labs heighten anticipation, but traders await developer betas or leaks as key catalysts before month-end deadlines.
Riepilogo sperimentale generato dall'AI con riferimento ai dati di Polymarket. Questo non è un consiglio di trading e non ha alcun ruolo nella risoluzione di questo mercato. · Aggiornato
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