Chinese content用 opencode 订阅跑 DeepSeek V4.1 Flash，70 元套餐可用约 50 亿 Tokens
一个独立开发者实测：用 opencode 订阅跑 DeepSeek V4.1 Flash，70 块钱能烧 50 亿 Tokens，比官方 API 便宜好几倍，还支持支付宝付款。
#DeepSeek V4.1 Flash
10 stories · 1 in 7 days · 7 in 30 days
Stories, products and papers tagged "DeepSeek V4.1 Flash", newest first.
Oct 27
Oct 20
Chinese contentDeepSeek 宣布将内部推理框架 DeepInfer 全面开源
DeepSeek 把自家线上跑 V4.1 Flash 用的推理框架开源了，还兼容昇腾，做私有化部署的可以看看
Chinese contentDeepSeek V4.1 Flash 1017 发布，开源模型并列第二
DeepSeek 更新了 V4.1 Flash，智能指数涨到 45 分，追平 GLM-5.3 成开源第二，幻觉还少了好多，价格没变。
Oct 15
Oct 14
Chinese contentDeepSeek V4.1 Flash 在 ARC-AGI-3 得分 3.3%，评估成本 $878
ARC Prize 实测了 DeepSeek V4.1 Flash，ARC-AGI-3 跑出 3.3%，成本不到 1000 美元，目前性价比最好的一份成绩单。
Oct 13
Chinese contentAgent Arena 数据：开源模型 12 周追平 Claude Fable 5
LMArena 给出实测数据：Kimi K3 和 DeepSeek V4.1 Flash 用不到一成的成本追平了 Claude Fable 5，做 agent 选型前可以看看这份榜单。
Oct 9
DeepSeek V4.1 Flash n-gram editing
This approach offers a lightweight way to update models without full retraining, potentially reducing costs for personalized AI applications. Developers working with large language models could implement this technique for efficient knowledge updates, especially useful for applications requiring frequent factual updates or user-specific customization.
Sep 28
Chinese contentVS Code 装 Cline 插件可免费用 Gemini 3.8 Flash、DeepSeek V4.1 Flash 等模型
在 VS Code 里装个 Cline 插件，Gemini 3.8 Flash、DeepSeek V4.1 Flash 这些模型都能白嫖，写代码零成本，试试看。
Sep 23
Goldman Sachs: US Outspends China on AI Compute $806bn vs $110bn
The compute gap is smaller than it looks, because efficiency gains let Chinese labs deliver competitive inference at a fraction of the infrastructure cost. Developers and procurement teams choosing between US and Chinese models should track OpenRouter usage rankings and token pricing rather than headline capex figures. Goldman expects the next competitive front to be virtual-worker use cases in finance, legal and accounting workloads.
Sep 12
DeepSeek V4.1 Flash benchmarked against coding agents
For developers, this matters because it shows DeepSeek V4.1 Flash's coding capabilities are robust and not tied to a specific agent framework, making it a versatile choice for different coding tasks.
