Alibaba's August 26, 2026 release of Qwen3.8-Flash and its open-weight Qwen3.8-Flash-Next variant drives current trader focus on the next 3.9+ Flash model. The 125B-parameter multimodal MoE activates just 6B parameters per token using Gated DeltaNet and Qwen Sparse Attention for efficiency gains, delivering top coding scores on SWE-bench Pro while using roughly one-ninth the training resources of prior models. This positions the release as an explicit early preview of the Qwen4 architecture, intensifying competition with efficient rivals like DeepSeek in agentic workflows and long-context tasks. With Qwen's rapid cadence from Qwen3.7-Flash in July, traders watch for near-term 3.9 updates or full Qwen4 family launches that could shift implied probabilities around release timing and feature thresholds.
基於Polymarket數據的AI實驗性摘要。這不是交易建議,也不影響該市場的結算方式。 · 更新於10 月 31 日
51%
12 月 31 日
52%
$0.00 交易量
10 月 31 日
51%
12 月 31 日
52%
A qualifying model must have a name or model identifier that includes "Qwen" and "Flash," be the flagship model of Alibaba's core Qwen Flash tier, and be designated as version 3.9 or higher, regardless of capitalization or surrounding prefixes, suffixes, dates, or descriptors. For example, a version 3.9 or higher named in the same manner as Qwen3.7-Flash or Qwen3.8-Flash would qualify, including a new whole-number generation such as Qwen4-Flash, while models whose name does not include "Flash" or which retain a version designation below 3.9, such as Qwen3.8-Flash, Qwen3.8-Plus, or Qwen3.9-Max, will not qualify. Derivative lines such as VL, Coder, Omni, or other specialized variants, such as qwen3-coder-flash, will not qualify.
A qualifying 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 either be clearly defined and publicly announced by Alibaba as accessible to the general public, or otherwise be made publicly accessible and explicitly labeled on the company's official website. 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 will not qualify.
The primary resolution source for this market will be official information from Alibaba, with additional verification from a consensus of credible reporting.
市場開放時間: Aug 31, 2026, 7:25 PM ET
A qualifying model must have a name or model identifier that includes "Qwen" and "Flash," be the flagship model of Alibaba's core Qwen Flash tier, and be designated as version 3.9 or higher, regardless of capitalization or surrounding prefixes, suffixes, dates, or descriptors. For example, a version 3.9 or higher named in the same manner as Qwen3.7-Flash or Qwen3.8-Flash would qualify, including a new whole-number generation such as Qwen4-Flash, while models whose name does not include "Flash" or which retain a version designation below 3.9, such as Qwen3.8-Flash, Qwen3.8-Plus, or Qwen3.9-Max, will not qualify. Derivative lines such as VL, Coder, Omni, or other specialized variants, such as qwen3-coder-flash, will not qualify.
A qualifying 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 either be clearly defined and publicly announced by Alibaba as accessible to the general public, or otherwise be made publicly accessible and explicitly labeled on the company's official website. 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 will not qualify.
The primary resolution source for this market will be official information from Alibaba, with additional verification from a consensus of credible reporting.
Alibaba's August 26, 2026 release of Qwen3.8-Flash and its open-weight Qwen3.8-Flash-Next variant drives current trader focus on the next 3.9+ Flash model. The 125B-parameter multimodal MoE activates just 6B parameters per token using Gated DeltaNet and Qwen Sparse Attention for efficiency gains, delivering top coding scores on SWE-bench Pro while using roughly one-ninth the training resources of prior models. This positions the release as an explicit early preview of the Qwen4 architecture, intensifying competition with efficient rivals like DeepSeek in agentic workflows and long-context tasks. With Qwen's rapid cadence from Qwen3.7-Flash in July, traders watch for near-term 3.9 updates or full Qwen4 family launches that could shift implied probabilities around release timing and feature thresholds.
基於Polymarket數據的AI實驗性摘要。這不是交易建議,也不影響該市場的結算方式。 · 更新於

警惕外部連結哦。
警惕外部連結哦。
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