DeepSeek V4 drops 1T MoE, 1M context

DeepSeek is effectively commoditizing frontier intelligence, forcing Western labs into a high-margin corner while capturing the developer ecosystem via extreme price efficiency and open-weights accessibility.

• –The 1T MoE architecture activates only 32-37B parameters per token, scaling reasoning capability without sacrificing inference speed or efficiency
• –Engram memory achieves 97% accuracy on 1M-token "needle-in-a-haystack" tests, solving the retrieval degradation common in standard transformers
• –Claimed 80-85% SWE-bench score suggests it may be the most capable model for real-world software engineering currently available to the public
• –Aggressive API pricing ($0.14-$0.30 per 1M tokens) makes massive-scale agentic workflows economically viable for startups and hobbyists alike
• –Weights expected under Apache 2.0 continue to empower the local LLM community, potentially enabling frontier-level intelligence on consumer multi-GPU setups