4/24/2026

DeepSeek V4 Pro and V4 Flash—Hybrid Attention and 1M context

DeepSeek V4: realistické testování open-source modelu a nákladového dashboardu

What V4 brings

On April 24, 2026 DeepSeek released preview versions of V4 Flash and V4 Pro. Key innovations:

  • Hybrid Attention Architecture — the model recalls information across long conversations more reliably
  • 1 million token context — an entire codebase or book in a single call
  • Top-tier coding scores — competitive with Claude and GPT on SWE-bench
  • Agentic tasks — better planning, evaluation and self-correction

Why Hybrid Attention

Classical transformers scale quadratically with context length—1M tokens would consume enormous memory. Hybrid Attention combines local dense attention with sparser long-range patterns, keeping costs manageable.

Market impact

Last year DeepSeek shook Silicon Valley with its efficiency-first approach. V4 repeats that—Western-tier performance at a fraction of the cost. For companies dealing with data privacy or inference cost, open-weight DeepSeek is a serious alternative.

Recommendation

If you build internal AI tooling and data sensitivity rules out cloud OpenAI, test V4 locally. Self-hosting a model of this caliber was unthinkable just a year ago.