DeepSeek withholds DeepSeek-V4 pre-release access from Nvidia and AMD, shares with Huawei
DeepSeek has given Huawei several weeks of pre-release access to its upcoming DeepSeek-V4 model for hardware optimization, while denying the same access to Nvidia and AMD — a departure from prior practice. Reuters also reported that an unnamed Trump administration official claims DeepSeek-V4 was trained on Nvidia's most advanced chips despite U.S. export controls, though the sourcing is unverified. The move signals deepening geopolitical fragmentation in AI supply chains and aligns with China's push for domestic chip self-sufficiency. DeepSeek-V4 has not yet been publicly released.
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DeepSeek to Make Permanent 75% Discount on Flagship AI Model
DeepSeek is permanently reducing pricing on its flagship AI model by 75%, signaling a sustained aggressive pricing strategy rather than a temporary promotional move. This continues the pattern of Chinese AI labs applying significant downward pressure on frontier model API pricing. The move has implications for competitive dynamics across the inference market and may force responses from other major providers.
DeepSeek Makes V4 Pro Price Discount Permanent
DeepSeek has announced that the previously temporary price discount on its V4 Pro model is now permanent. This pricing change is notable in the context of ongoing inference cost competition among frontier model providers. The announcement generated significant community discussion on Hacker News with 234 points and 141 comments.
DeepSeek releases DeepSeek-V4-Pro on Hugging Face
DeepSeek has released DeepSeek-V4-Pro, a new text-generation model published on Hugging Face under the deepseek-ai organization. The model supports FP8 and 8-bit quantization formats and is tagged as endpoints-compatible with eval results included. With over 4.3 million downloads and 4,740 likes, it has attracted significant community uptake.
Architectural Choices in China's Open-Source AI Ecosystem: Building Beyond DeepSeek
A Hugging Face blog post reflecting on one year since the 'DeepSeek moment' examines the architectural decisions shaping China's open-source AI ecosystem. The piece analyzes how Chinese labs have built upon and diverged from DeepSeek's design choices in the intervening year. It situates these developments within the broader context of open-weights model progress and competitive dynamics between Chinese and Western AI development.
DeepSeek releases DeepSeek-V4-Pro-Base on Hugging Face
DeepSeek has released DeepSeek-V4-Pro-Base, a new base model, on Hugging Face with fp8 and safetensors support. The model has accumulated over 20,000 downloads and 291 likes shortly after release. This represents a new generation in DeepSeek's V-series open-weights frontier models.
DeepSeek releases DeepSeek-V3.2-Speciale on Hugging Face
DeepSeek has published DeepSeek-V3.2-Speciale, a new text-generation model, on Hugging Face under the deepseek-ai organization. The model uses the deepseek_v32 architecture and supports fp8 precision with safetensors format. Early traction is notable with nearly 10,000 downloads and 708 likes shortly after release.
DeepSeek V4 Preview Release: 1.6T-param Pro and 284B Flash Models with 1M Context, Open-Sourced
DeepSeek has released DeepSeek-V4 as an open-weights preview, comprising two MoE variants: V4-Pro (1.6T total / 49B active parameters) and V4-Flash (284B total / 13B active parameters). Both models support 1M token context by default, enabled by a novel Token-wise compression and DeepSeek Sparse Attention (DSA) architecture. V4-Pro claims open-source SOTA on agentic coding benchmarks and world-class math/STEM/coding performance rivaling top closed-source models, while V4-Flash offers near-parity reasoning at lower cost and latency. The API is live today with OpenAI and Anthropic compatibility, and legacy model endpoints will be retired in July 2026.
DeepSeek releases DeepSeek-V3.2 on Hugging Face
DeepSeek has released DeepSeek-V3.2, a new text-generation model published on Hugging Face under the deepseek-ai organization. The model supports fp8 precision, is endpoints-compatible, and has accumulated over 3.6 million downloads and 1,446 likes, indicating significant community uptake. This appears to be a successor to DeepSeek-V3, continuing the lab's competitive open-weights model series.