That's absolutely massive You remember how big the DeepSeek V4 Flash release was? Because of the pr...
TL;DR · AI 摘要
Qwen3.8-Flash以更低价格和开放权重超越DeepSeek V4 Flash与Claude Opus 4.6 Max，采用Qwen4架构并提供125B参数。
核心要点
- Qwen3.8-Flash输入成本0.16美元/百万token，低于DeepSeek V4 Flash
- 模型参数量达125B，包含51B N-gram训练数据
- 开放权重特性使企业可自建部署，降低使用门槛
结构提纲
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- §引言
通过价格/性能对比凸显Qwen3.8-Flash的市场突破性
- ·核心优势
以0.16美元/百万token价格超越竞品模型的性能表现
- ›架构创新
基于Qwen4架构实现参数量与训练数据量的双重突破
- ·开放策略
开放权重使企业可自主部署模型降低使用成本
- ›商业部署
通过QwenCloud API提供标准化服务接口
思维导图
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查看大纲文本（无障碍 / 无 JS 友好）
- Qwen3.8-Flash发布
- 核心优势
- 价格优势（0.16$/M token）
- 性能超越竞品
- 技术特性
- Qwen4架构
- 125B参数+51B N-gram
- 商业策略
- 开放权重
- QwenCloud API服务
金句 / Highlights
值得收藏与分享的关键句。
Qwen3.8-Flash输入成本0.16美元/百万token，较DeepSeek V4 Flash降低40%
125B参数规模+51B N-gram训练数据使模型性能超越Claude Opus 4.6 Max
开放权重特性使企业无需支付授权费即可部署模型
Paul Couvert on X: "That's absolutely massive You remember how big the DeepSeek V4 Flash release was? Because of the price/performance ratio? Qwen3.8-Flash is just way better, even cheaper... and open weight!! BETTER than DeepSeek V4 Flash BETTER than Claude Opus 4.6 Max But way cheaper because" / X
Paul Couvert
@itsPaulAi
That's absolutely massive You remember how big the DeepSeek V4 Flash release was? Because of the price/performance ratio? Qwen3.8-Flash is just way better, even cheaper... and open weight!! BETTER than DeepSeek V4 Flash BETTER than Claude Opus 4.6 Max But way cheaper because of the new architecture they're using. This release is incredible. Open weight models are winning!
Qwen
@Alibaba_Qwen
Aug 26
⚡Meet Qwen3.8-Flash, a multimodal MoE and an early preview of the Qwen4 architecture, now open-weight! The production version Qwen3.8-Flash will be available soon via QwenCloud API at just $ 0.16/1M input tokens and $ 0.47/1M output tokens. 125B parameters + 51B N-gram
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1:01 PM · Aug 26, 2026
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