DeepSeek新模型价格不贵，和GPT-4o等比起来更亲民。
DeepSeek发布新模型，定价低于市场预期，与GPT-4o等主流模型形成对比，显示其价格策略不同。
无论国内还是国外，只要模型能力在线、用的人多，新出的价格就蹭蹭涨，有些大模型厂商的吃相还特别难看，而 DeepSeek 是唯一让我觉得打破了这个魔咒的存在，世界不能没有 DeepSeek。 💬 0 🔄 0 ❤️ 2 👀 1156 ⚡
DeepSeek Flash 每月更新，价格只有 Sonnet 的十分之一，还支持多模态输出，简单任务场景可以重点关注一下。
参与过 DeepSeek 模型研发的罗福利，跳槽 Xiaomi 拿 150 万美元年薪，10 个月就升到最高职级，速度很罕见。
Matching DeepInfer's performance while beating it on a third-party agentic benchmark suggests vLLM is now a credible production backend for high-throughput DeepSeek serving, not just a research engine. Engineers running agent-heavy inference stacks can use the reproducible blog recipe to benchmark their own deployments against the 954K tokens/s figure. DeepSeek's off-peak pricing makes the revenue-per-GPU-hour number a useful cost baseline for capacity planning.
LMSYS 给 SGLang 针对性优化了 DeepSeek 的推理，博客里有性能数据和具体工程手段，自己部署 DeepSeek 的可以直接抄作业。
An open-source inference stack catching up with a frontier lab's in-house engine means teams can serve DeepSeek-V4.1-Flash without relying on the vendor's own tooling. Engineers running self-hosted deployments in Singapore or ASEAN data centres can benchmark vLLM at DEP32 as a direct alternative to DeepInfer's EP64DP64 setup, avoiding engine lock-in while keeping comparable throughput at large batch sizes.
信通院实测了国内外的词元服务数据，国内调用量半年翻两番，价格也涨回去了，但速度还是比国外慢，选型前可以看看这份报告里的平台对比。
