DeepSeek V4 challenges frontier models with competitive performance and lower cost
What happened
DeepSeek has quietly released version 4 of its open-source models, DeepSeek V4 Pro and DeepSeek V4 Flash, under an MIT license, after 15 months of anticipation. These models feature 1M-token context windows, support for Huawei Ascend chips, and internal evaluations placing them near GPT-5.4 and Gemini 3.1-Pro, offering competitive performance at significantly lower costs.
Why it matters
MLOps Engineers should investigate DeepSeek V4, particularly V4-Flash, for applications requiring extensive context windows and operational efficiency, as it offers significant cost-to-serve reductions and competitive performance against leading proprietary models.
Topics
- DeepSeek V4
- Large Language Models
- Open-source AI
- Inference Optimization
Articles in this trend
- DeepSeek v4: the most expected open-source model ever released, and the quietest landing — The Lambda Deep Learning Blog
- DeepSeek resurfaces with cheap, capable V4 — The Rundown AI
- DeepSeek V4: Does China Just Matched GPT-5? — Deep Learning on Medium
- DeepSeek-V4: The Interesting Part Is the Attention Architecture — The Salt - Curated AI
- The Sequence AI of the Week #851: DeepSeek-V4 and the Architecture of Million-Token Intelligence — TheSequence
- 🔮🇨🇳 Inside the Chinese AI labs where America’s AI controls created its toughest competiton — Exponential View
- Open Model Inference at Scale on Foundry: What’s New with Fireworks AI — Microsoft Foundry Blog articles
- Latest open artifacts (#21): Open model bonanza! Gemma 4, DeepSeek V4, Kimi K2.6, MiMo 2.5, GLM-5.1 & others. On CAISI's V4 assessment. — Interconnects AI
- Deepseek changed the game forever. — LLM on Medium