DeepSeek V4 微信生态更新：中文开发者关注的价格与接入信号

中文摘要

中文社区对 DeepSeek V4 的关注集中在降价、API 接入、Claude/开发工具映射和本地部署可行性。

阅读提示

这篇中文稿保留原始来源链接，并把 DeepSeek 官方发布、报道和市场传闻分开标注。购买相关判断仍以 /zh/pricing 的真实库存卡片为准；出现在新闻或基准中的模型不代表可购买。

英文原文

Official release snapshot

DeepSeek has officially released DeepSeek V4 and positioned it as the new flagship family for coding, long-context reasoning, and agent workflows.

What is officially confirmed

• 1M-token context window
• Two production model routes: deepseek-v4-pro and deepseek-v4-flash
• OpenAI-compatible migration path using the same endpoint shape
• Thinking / Non-Thinking modes for both official V4 variants

Practical meaning for developers

This release matters because it turns DeepSeek V4 from rumor-cycle discussion into a concrete deployment target. Teams can now test a current DeepSeek flagship without rebuilding their client stack: keep the endpoint pattern, switch the model ID, validate quality, then expand routing gradually.

Practical pricing correction

DeepSeek V4 Pro is now listed at $0.435 per 1M cache-miss input tokens and $0.87 per 1M output tokens, with cache-hit input at $0.003625 per 1M tokens (RMB 0.025 on the Chinese price table). DeepSeek's current pricing note says these V4-Pro rates will be officially adjusted to 1/4 of the original price after the 75% discount window ends on May 31, 2026.

DeepSeek V4 Flash is the route to watch for high-volume production traffic at $0.14 per 1M input tokens and $0.28 per 1M output tokens, with cache-hit input at $0.0028 per 1M. Its quality is excellent for everyday coding, chat, retrieval, and repeated tool steps, while preserving the same 1M-context headline.

Routing guidance

• Start with deepseek-v4-flash for high-volume chat, tool steps, and everyday coding loops.
• Escalate to deepseek-v4-pro for harder reasoning, review-heavy coding, and longer evidence chains.

Legacy alias note

DeepSeek has also published a retirement path for older alias names such as deepseek-chat and deepseek-reasoner. New integrations should target the V4 model IDs directly.

Why this page exists

This hub treats DeepSeek as the headline model. The official V4 release strengthens that positioning because the product story is now clear: current flagship, named variants, long context, direct migration guidance, and a sharper Flash cost story for 1M-context workloads.