Trader sentiment on DeepSeek V4 release leans bearish for near-term resolution, with market-implied odds below 20% before Q1 2025, driven by the absence of official announcements from DeepSeek AI following their blockbuster V3 launch on December 26, 2024, which topped open LLM benchmarks with 671B parameters at fraction-of-competitor costs. The Chinese firm's rapid iteration—V2 in June, V3 in December—fuels speculation of V4 soon, but engineers' posts hint at training delays amid U.S. chip export curbs impacting H100 access. Competitive pressure from Alibaba's Qwen3 and Meta's Llama 4 intensifies, while key catalysts include DeepSeek's API roadmap updates or Lunar New Year blog posts; resolution hinges on verifiable model weights or HF hub upload by deadline.
基於Polymarket數據的AI實驗性摘要 · 更新於$719,430 交易量
3 月 21 日
2%
3月31日
6%
4 月 15 日
52%
$719,430 交易量
3 月 21 日
2%
3月31日
6%
4 月 15 日
52%
Intermediate versions (e.g., DeepSeek-V3.5) will not count; however, versions such as DeepSeek V4 or V5 would count.
For this market to resolve to "Yes," 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.
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.
The primary resolution source for this market will be official information from DeepSeek, with additional verification from a consensus of credible reporting.
市場開放時間: Jan 19, 2026, 3:17 PM ET
Resolver
0x65070BE91...已提議結果: 否
無爭議
最終結果: 否
Resolver
0x65070BE91...Trader sentiment on DeepSeek V4 release leans bearish for near-term resolution, with market-implied odds below 20% before Q1 2025, driven by the absence of official announcements from DeepSeek AI following their blockbuster V3 launch on December 26, 2024, which topped open LLM benchmarks with 671B parameters at fraction-of-competitor costs. The Chinese firm's rapid iteration—V2 in June, V3 in December—fuels speculation of V4 soon, but engineers' posts hint at training delays amid U.S. chip export curbs impacting H100 access. Competitive pressure from Alibaba's Qwen3 and Meta's Llama 4 intensifies, while key catalysts include DeepSeek's API roadmap updates or Lunar New Year blog posts; resolution hinges on verifiable model weights or HF hub upload by deadline.
基於Polymarket數據的AI實驗性摘要 · 更新於
警惕外部連結哦。
警惕外部連結哦。
Frequently Asked Questions