DeepSeek V4 Paper Guide
DeepSeek V4 paper readers usually want the official PDF, the benchmark table, and the fastest verified path to the real model pages. This landing page compresses those into one search-friendly summary with direct official links back to DeepSeek.
CSA + HCA hybrid attention
mHC residual upgrade
Muon optimizer
Expert-first post-training
Highlights
The official DeepSeek-V4 introduction frames the release as a long-context MoE family with efficiency-focused attention work, updated optimization, and a post-training flow meant to consolidate domain specialists into a stronger general model.
Architecture
The report describes a combined CSA and HCA attention stack. In the 1M-token setting, the official README says DeepSeek-V4-Pro uses 27% of the single-token inference FLOPs and 10% of the KV cache of DeepSeek-V3.2.
Stability
Manifold-Constrained Hyper-Connections are presented as a stability upgrade over conventional residual paths while preserving model expressivity across deep layers.
Optimization
DeepSeek states that the Muon optimizer is used to improve convergence speed and training stability across the DeepSeek-V4 series.
Post-training
The public overview describes a two-stage pipeline: SFT and RL with GRPO for domain-specific experts, followed by unified consolidation through on-policy distillation.
Benchmarks
These figures come from the public DeepSeek model card and are here to help searchers orient quickly before opening the full report PDF. They are official reported results, not third-party reproductions.
Base model
76.8 pass@1
DeepSeek-V4-Pro-Base is listed above DeepSeek-V3.2-Base and DeepSeek-V4-Flash-Base on HumanEval.
Long context
51.5 EM
The official base-model table places DeepSeek-V4-Pro-Base at 51.5 on LongBench-V2.
Reasoning mode
93.5 pass@1
DeepSeek-V4-Pro Max is shown at 93.5 pass@1 in the official frontier-model comparison.
Agentic
80.6 resolved
The official comparison table lists DeepSeek-V4-Pro Max at 80.6 on SWE Verified.
Resources
If you searched for the DeepSeek V4 paper PDF, the README, or the model downloads, start here. Every outbound link below points to an official DeepSeek-controlled destination or its official model-hosting page.
Open the official report titled DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence.
README
Read the official introduction, benchmark tables, model downloads, and reasoning modes.
Model
Check the smaller instruct model variant with 284B total parameters and 13B activated parameters.
Model
Jump directly to the official base model page for the 1.6T-parameter Pro family.
Site
Visit the official DeepSeek website for product navigation outside the model repository.
Chat
Open the official chat product rather than relying on mirrors or unofficial wrappers.
FAQ
The public report is titled DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence.
The official PDF is hosted on the DeepSeek-V4-Pro Hugging Face repository, alongside the public model card and release notes.
Yes. The official introduction presents DeepSeek-V4-Pro and DeepSeek-V4-Flash as the two main families in the preview release.
Open the official README or the technical report. The introduction explicitly states that both model families support one million tokens of context.
No. This is an independent editorial landing page meant to reduce search friction and route readers back to the official sources.