Official releases, labeled rumors, and model ecosystem updates from DeepSeek, OpenAI, Anthropic, Google, Qwen, MiniMax, GLM, and xAI. Each article links into benchmarks, comparisons, and the in-stock Coding Plan path where relevant.
DeepSeek's April 24 official update confirms that DeepSeek-V4 Preview is now live and open-sourced, with a 1M-token context window, two model variants, and same-endpoint API migration by changing only the model ID.
Third-party explainer sites deepseekv4.dev and deepseek-v4.ai aggregate the leaked spec sheet: ~1T-parameter MoE, Engram memory core, mHC hyper-connections reasoning, and a 1M+ token context window.
Cross-platform chatter on Twitter, Reddit and Hacker News converges on three claims about DeepSeek V4: a 2,000,000-token context window, a dynamic sparse MoE architecture, and end-to-end pre-training on Huawei Ascend.
A new commit titled "act_quant_kernel" merged into the DeepSeek-V3 repository, indicating ongoing low-level kernel optimizations for RMSNorm operations.
DeepSeek's GitHub repository now supports the 'scale_fmt=ue8m0' quantization format, indicating potential low-bit inference optimizations.
A commit fixes the `act_quant_kernel` in the DeepSeek-V3 codebase, indicating ongoing low-level optimization work on the model's quantization implementation.
DeepSeek's official GitHub repository has committed fixes for RMSNorm and activation quantization kernels, indicating ongoing low-level optimization work.
DeepSeek has officially archived the DeepSeek-V3 model with a v1.0.0 release, primarily for generating a permanent DOI.