DeepSeek V4 Pro: 1.6T Open MoE Model Hits 80.6% SWE-bench at One-Tenth GPT-5.5's Price
Summary: DeepSeek launched V4 Pro on April 24, 2026 — repeating the V3 playbook at trillion-parameter scale by pairing near-frontier coding performance with open weights and aggressive pricing.
Key Facts
- Architecture: 1.6T total / 49B active parameters (Mixture-of-Experts); 1M-token context window; up to 384K output tokens; thinking and non-thinking modes
- Pricing: $0.435/M input, $0.87/M output — approximately one-tenth of GPT-5.5's output price
- Benchmarks: 80.6% on SWE-bench Verified, placing it among the top coding models available
- License: MIT — fully open for commercial use and self-hosting; still in preview as of June 2026
Why It Matters
DeepSeek V4 Pro proves the V3 thesis at a larger scale: open weights, frontier-class coding capability, and commodity pricing — available for on-premises deployment. That combination puts direct cost pressure on OpenAI and Anthropic's enterprise offerings and lowers the barrier for teams that want powerful coding AI without vendor lock-in or per-token API costs.
Further Reading
- DeepSeek V4 Preview Release Notes — DeepSeek Official
- DeepSeek V4 Architecture Deep Dive — MorphLLM
- DeepSeek V4 Pro Complete Guide — AI Made Tools
How this story unfolded
- US Congress Drafts Sweeping AI Bill That Would Freeze State Laws for Three Years
- Ex-Alibaba Qwen Lead Lin Junyang Launches AI Lab, Tencent Invests at $2B Valuation
- Z.ai Ships GLM-5.2: Usable 1M-Token Context, No Benchmarks
- MiniMax M3: Open-Weight Model Hits 1M-Token Context and Outperforms GPT-5.5 on Coding
- LLM
- — Large Language Model의 약자로, '거대 언어 모델'이라고 해요. ChatGPT, Claude 같은 AI가 바로 LLM이에요. 엄청나게 많은 텍스트를 학습해서 사람처럼 글을 쓰고 대화할 수 있어요.