模型
别名：deepseek-chat、deepseek-reasoner
Fast, high-concurrency LLM supporting non-thinking and thinking modes.
已收录 8 条与 DeepSeek-V4-Flash 相关的内容，按评分排序。
Redis founder antirez developed ds4.c — a dedicated inference engine for DeepSeek V4 Flash — enabling high-speed local execution on Macs with up to 58.52 token/s prefill speed.
入选理由：ds4.c使用Metal-only架构，专用于Apple Silicon设备，无框架依赖，提升本地推理效率。
DS4 is a local AI model based on DeepSeek v4 Flash, which has rapidly gained popularity due to its efficiency and usability.
入选理由：DS4 使用 2/8 bit 量化技术，仅需 96GB RAM 即可运行。
DeepSeek V4 Flash 模型通过不对称优化和硬件特性绑定，在 128GB 内存的 M3 Max MacBook Pro 上实现了 1M 上下文的稳定运行。
入选理由：DeepSeek V4 Flash 使用不对称 2-bit 量化，仅对 MoE 专家部分进行量化，保持关键路径全精度。
DeepSeek permanently applies a 75% discount to V4 Pro pricing and reduces cache-hit input prices to 1/10 of original for all models, bringing V4 Pro input cache-hit cost to $0.003625/1M tokens.
入选理由：DeepSeek-V4-Pro 输入缓存命中价永久降至 $0.003625/1M tokens（降幅 97.5%），缓存未命中价 $0.435（降幅 75%）。
Between May 2024 and May 2026, the performance of local open-weight AI models on laptops has improved more than twice as fast as Moore's Law.
入选理由：Llama 3 70B 到 DeepSeek V4 Flash 提升了4.7倍
OpenRouter announced that DeepSeek V4 Flash has topped the weekly leaderboard, but the tweet lacks details on why it's significant or what improvements it brings.
入选理由：DeepSeek V4 Flash has achieved the top position in the weekly leaderboard.
Skywork releases benchmark results for its AI models under the OpenClaw environment, claiming that v1.0 and v1.0-lite versions outperform Minimax 2.7, DeepSeek V4 Flash, and Qwen 3.6 in PinchBench, Claw-Eval, and Skywork-Claw-Bench tests, though specific performance data and detailed technical explanations are lacking.
入选理由：Skywork 在自建 OpenClaw 环境中使用高质量工具和基于真实用户模式合成的任务进行测试
The post mentions switching to Peiduwa + DeepSeek V4 Flash for immersive translation but provides no technical details or user experience, resulting in low information density.
入选理由：作者将沉浸式翻译工具更换为陪读蛙与DeepSeek V4 Flash组合。
