DeepSeek completes V4 hardcutover with 1M-token context at 50x cheaper pricing

DeepSeek forced its ecosystem onto V4 in a clean break: on July 24 it retired the old deepseek-chat and deepseek-reasoner model names entirely, routing everything to V4 Pro (1.6T total parameters, 49B active) and V4 Flash (284B), each with 1M-token context windows. The headline is economic — pricing that undercuts Anthropic by roughly 50x per token — which, combined with strong capability, is accelerating adoption despite geopolitical friction, with r/LocalLLaMA threads reporting fast uptake.

The hardcutover approach (no long deprecation window) is unusual and pushed developers to migrate immediately, some grumbling on r/DeepSeek that a GA had slipped past. On the corporate side, DeepSeek paused a second fundraising round after founder Liang Wenfeng's confidential investor briefing leaked online, a rare stumble amid its otherwise aggressive expansion, which also includes reported plans for a 1-gigawatt data center in Inner Mongolia.

Competitively, V4 is the sharp end of the Chinese open-model pressure that's reshaping the market this week — alongside Alibaba's Qwen and the GLM-5.2 model that Hugging Face used defensively. The 50x price gap directly challenges Anthropic and OpenAI in the exact cost-sensitive enterprise segment those firms are now cutting prices to defend. What to watch: real-world V4 Pro quality versus frontier closed models on agentic tasks, and whether the leaked-briefing fundraising pause slows DeepSeek's infrastructure ambitions.