Alibaba’s August 26 release of Qwen3.8-Flash and the open-weight Qwen3.8-Flash-Next variant directly shapes trader expectations for the next 3.8+ Flash model. The multimodal MoE system (125B total parameters, 6B active per token plus 51B N-gram embeddings) uses a hybrid Gated DeltaNet + Qwen Sparse Attention architecture that previews Qwen4, delivers 1/9 the training cost of Qwen3.7-Plus, and posts competitive coding and agentic benchmarks against Anthropic’s Opus 4.6 and DeepSeek V4-Flash. Native 262K context (extendable to 1M) and planned QwenCloud API pricing near $0.16/1M input tokens add immediate developer appeal. With Qwen3.8-Max already out earlier in August, focus now shifts to production API rollout, independent benchmark confirmation, and the pace of Qwen4 iterations that could compress timelines for subsequent Flash releases.
基于Polymarket数据的AI实验性摘要。这不是交易建议,也不影响该市场的结算方式。 · 更新于$10,806 交易量
9 月 30 日
是
10月31日
是
$10,806 交易量
9 月 30 日
是
10月31日
是
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 3.8 or higher, regardless of capitalization or surrounding prefixes, suffixes, dates, or descriptors. For example, a version 3.8 or higher named in the same manner as Qwen3.6-Flash or Qwen3.7-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 3.8, such as Qwen3.7-Flash, Qwen3.7-Plus, or Qwen3.8-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.
市场开放时间: Aug 14, 2026, 5:55 PM ET
已提议结果: 是
无争议
最终结果: 是
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 3.8 or higher, regardless of capitalization or surrounding prefixes, suffixes, dates, or descriptors. For example, a version 3.8 or higher named in the same manner as Qwen3.6-Flash or Qwen3.7-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 3.8, such as Qwen3.7-Flash, Qwen3.7-Plus, or Qwen3.8-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.
已提议结果: 是
无争议
最终结果: 是
Alibaba’s August 26 release of Qwen3.8-Flash and the open-weight Qwen3.8-Flash-Next variant directly shapes trader expectations for the next 3.8+ Flash model. The multimodal MoE system (125B total parameters, 6B active per token plus 51B N-gram embeddings) uses a hybrid Gated DeltaNet + Qwen Sparse Attention architecture that previews Qwen4, delivers 1/9 the training cost of Qwen3.7-Plus, and posts competitive coding and agentic benchmarks against Anthropic’s Opus 4.6 and DeepSeek V4-Flash. Native 262K context (extendable to 1M) and planned QwenCloud API pricing near $0.16/1M input tokens add immediate developer appeal. With Qwen3.8-Max already out earlier in August, focus now shifts to production API rollout, independent benchmark confirmation, and the pace of Qwen4 iterations that could compress timelines for subsequent Flash releases.
基于Polymarket数据的AI实验性摘要。这不是交易建议,也不影响该市场的结算方式。 · 更新于
警惕外部链接哦。
警惕外部链接哦。
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