DeepSeek's official release of the V4 Preview large language model today, April 24, has driven trader consensus to 100% on "on or prior to April 24," with model weights open-sourced on Hugging Face and API access live via Expert and Instant modes. The 1.6T-parameter Mixture-of-Experts (MoE) architecture—activating just 49B parameters—delivers frontier-level performance on math, coding, and reasoning benchmarks while supporting 1M-token context at drastically lower costs than rivals like Claude Opus, optimized for Huawei Ascend chips. This follows months of delays and leaks, confirming skin-in-the-game bets. Rare challenges could arise if markets deem the "preview" insufficient for full resolution, though availability and technical report solidify trader confidence ahead of full V4 rollout.
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Intermediate versions (e.g., DeepSeek-V3.5) will not count; however, versions such as DeepSeek V4 or V5 would count.
The "next DeepSeek V model" refers to the next major release in the DeepSeek V series, explicitly named as such or clearly positioned as a successor to DeepSeek-V3.
Only releases representing a core version progression in the DeepSeek V series, “clearly positioned as a successor to DeepSeek-V3,” will qualify. Other models, such as derivative models (e.g., "V4-Lite," "V4-Mini"), task-specialized models, R-series reasoning models, and experimental or preview releases (e.g., "V4-Exp," "V4-Preview"), that are not positioned as the new V flagship model, will not qualify.
To qualify, the next DeepSeek V 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 clearly defined and publicly announced by DeepSeek 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 DeepSeek, with additional verification from a consensus of credible reporting.
Marché ouvert : Apr 23, 2026, 6:17 PM ET
Resolver
0x69c47De9D...Intermediate versions (e.g., DeepSeek-V3.5) will not count; however, versions such as DeepSeek V4 or V5 would count.
The "next DeepSeek V model" refers to the next major release in the DeepSeek V series, explicitly named as such or clearly positioned as a successor to DeepSeek-V3.
Only releases representing a core version progression in the DeepSeek V series, “clearly positioned as a successor to DeepSeek-V3,” will qualify. Other models, such as derivative models (e.g., "V4-Lite," "V4-Mini"), task-specialized models, R-series reasoning models, and experimental or preview releases (e.g., "V4-Exp," "V4-Preview"), that are not positioned as the new V flagship model, will not qualify.
To qualify, the next DeepSeek V 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 clearly defined and publicly announced by DeepSeek 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 DeepSeek, with additional verification from a consensus of credible reporting.
Resolver
0x69c47De9D...DeepSeek's official release of the V4 Preview large language model today, April 24, has driven trader consensus to 100% on "on or prior to April 24," with model weights open-sourced on Hugging Face and API access live via Expert and Instant modes. The 1.6T-parameter Mixture-of-Experts (MoE) architecture—activating just 49B parameters—delivers frontier-level performance on math, coding, and reasoning benchmarks while supporting 1M-token context at drastically lower costs than rivals like Claude Opus, optimized for Huawei Ascend chips. This follows months of delays and leaks, confirming skin-in-the-game bets. Rare challenges could arise if markets deem the "preview" insufficient for full resolution, though availability and technical report solidify trader confidence ahead of full V4 rollout.
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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