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 launched DeepSeek-V4 Preview and positioned it as the new flagship generation for long-context, reasoning, and agent-style workflows. The release centers on cost-effective 1M-token context support and immediate availability across both the hosted product and API surfaces.

Two model variants

• DeepSeek-V4-Pro: 1.6T total parameters / 49B active parameters.
• DeepSeek-V4-Flash: 284B total parameters / 13B active parameters.

According to the official release notes, V4-Pro is aimed at top-tier reasoning, world knowledge, and agentic coding tasks, while V4-Flash is the faster and more economical option for high-throughput production usage.

Architecture and capability highlights

DeepSeek describes V4 as a major long-context efficiency upgrade, built around:

• 1M tokens as the new default context length
• Sparse-attention efficiency improvements for lower compute and memory cost
• Better agent integration, including explicit compatibility messaging for tools such as Claude Code, OpenClaw, and OpenCode

This is the clearest official signal so far that DeepSeek wants V4, not the older V3 line, to be the default reference point for coding and agent workflows going forward.

API migration guidance

For developers already using DeepSeek's API, the migration path is intentionally simple:

• Keep the existing base_url
• Switch the model name to deepseek-v4-pro or deepseek-v4-flash
• Continue using OpenAI Chat Completions or Anthropic-compatible integrations

Both official V4 variants support 1M context and Thinking / Non-Thinking modes.

Deprecation note

DeepSeek also states that deepseek-chat and deepseek-reasoner will be fully retired after July 24, 2026 15:59 UTC. In the transition window, those aliases currently route to V4-Flash in non-thinking and thinking modes respectively.

Why this matters

This update moves DeepSeek V4 from rumor-cycle coverage into an official product phase: the models are named, the API is live, migration guidance is public, and the ecosystem message is now explicitly V4-first.