Architecture & Thinking
Architecture & Thinking
Apr 26, 2026 · Artificial Intelligence

DeepSeek V4: How Million‑Token Context and Open‑Source Design Redefine AI Ecosystems

DeepSeek V4, released on April 24, 2026, introduces a 1‑million‑token context via DSA sparse attention, offers Pro and Flash variants, adapts to domestic AI chips, cuts compute costs dramatically, and leverages open‑source weights to challenge the dominance of closed‑source LLMs, reshaping the global AI landscape.

AI hardware adaptationAgentic AIDeepSeek V4
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DeepSeek V4: How Million‑Token Context and Open‑Source Design Redefine AI Ecosystems
SuanNi
SuanNi
Apr 24, 2026 · Artificial Intelligence

DeepSeek-V4 Launches: Million-Token Context Becomes Affordable for All

DeepSeek-V4 introduces a hybrid attention architecture, manifold‑constrained hyper‑connections, and the Muon optimizer to cut inference FLOPs and KV cache dramatically, enabling open‑source models to handle million‑token contexts at a fraction of the cost of leading closed‑source services while matching their performance.

DeepSeek V4Hybrid attentionLarge Language Model
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DeepSeek-V4 Launches: Million-Token Context Becomes Affordable for All
AI Engineering
AI Engineering
Apr 24, 2026 · Artificial Intelligence

DeepSeek V4 Unveiled: How Its Million-Token Context Redefines Open-Source LLMs

DeepSeek released the V4 preview, introducing V4‑Pro (1.6 T parameters, 49 B activation neurons, 33 T tokens) and V4‑Flash (284 B parameters, 13 B activation neurons, 32 T tokens) with 1 M token context, a novel DSA sparse attention that reduces compute and memory, and performance that rivals top closed‑source models in agentic coding, world‑knowledge and reasoning benchmarks, while offering an API compatible with OpenAI and Anthropic.

DeepSeekLarge Language ModelMillion Token Context
0 likes · 5 min read
DeepSeek V4 Unveiled: How Its Million-Token Context Redefines Open-Source LLMs