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AIDeepSeek V4‑Pro 1.6T‑Parameter AI Model Architecture

DeepSeek V4: 1M‑Token Context and Budget Frontier AI Models

DeepSeek V4 launches with 1M‑token context, MoE‑based Pro and Flash models, and prices far below U.S. rivals, focusing on code and agent workloads.

DeepSeekAlibabaOpen Source
AIDeepSeek V4 is Coming

DeepSeek V4 vs Claude/GPT: Strengths, Controversies Ahead

DeepSeek V4 eyes early March drop, topping Claude/GPT in code benchmarks with 1M context, but Blackwell chip scandal brews US ire.

AlibabaDeepSeek
AIAlibaba Qwen model visual for cross border AI usage.

Why US platforms are turning to Chinese AI models

Chinese open source AI like DeepSeek and Qwen is winning US clients by mixing solid performance with flexibility and lower operating costs.

AlibabaQwenDeepSeek
AIDeepSeek mHC: Smarter Scaling For Giant AI Models

How DeepSeek Trains Powerful Models On A Budget

The mHC idea lets DeepSeek train 3–27B models more efficiently, supporting its push to rival US labs while spending only a fraction on hardware.

AlibabaDeepSeek
AIZhipu’s GLM 4.7 and MiniMax M2.1 boost coding and agent skills, as Doubao and Yuanbao

Chinese Coding Models GLM 4.7 and M2.1 Step Up

Chinese coding models now sit close to Claude tier performance, while Doubao and Yuanbao prove domestic AI platforms can win huge mainstream audiences...

AnthropicAlibabaDeepSeek+1
AIDeepSeek Warning

AI and Job Losses: DeepSeek Predicts Massive Workplace Shift

AI could take over most jobs in 10–20 years, warns DeepSeek’s researcher, urging tech firms to protect society amid rising risks and disruption.

DeepSeek
AIDeepSeek reveals R1 cost

DeepSeek R1: $294K training cost, ultra‑low inference rates

DeepSeek’s R1 cost ~$294K to train with 512 H800 GPUs and 80h. Inference costs are ~$0.55 input / $2.19 output per million tokens.

DeepSeekAlibaba
AIDeepSeek v.3

DeepSeek-V3 Unveiled: 236B Parameters and 128K Context for Free

DeepSeek-V3 majorly upgrades from V2 with a massive 236B parameter count, a vastly larger 128K context window, and superior performance, all offered f...

AlibabaDeepSeek
AIDeepSeek Nano-vLLM

DeepSeek Open-Sources Nano-VLLM

DeepSeek's Nano-VLLM cuts VLLM's memory by 5x using dynamic KV cache, runs on CPU via NumPy, and adds speculative prefill. Targets edge AI devs.

DeepSeek
AIDeepSeek

DeepSeek has unveiled Distilled-R1

DeepSeek's R1 is a lightweight AI model that runs on a single GPU.

DeepSeekai
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