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Every DeepSeek release, API price change and architecture paper, tracked and explained in plain English. The archive below covers the full timeline — from R1 and V3.1 through the V4 preview to the official V4-Flash API (July 31, 2026) — plus migration guides for retired endpoints and a maintained DeepSeek API pricing page.
57 articles · Latest update: August 23, 2026 · Independent fan site, not affiliated with DeepSeek.
DeepSeek completes the V4 rollout with the release of V4-Flash-Vision-Exp and V4-Pro GA, alongside a new peak-hour API pricing strategy and viral open-source infrastructure tools.
DeepSeek now accepts images. The three input methods (base64, external URL, Files API), detail levels, the 384-token-per-image ceiling, all documented limits and the Anthropic-compatible variant.
No changelog entry, no model string, no paper — DeepSeek V5 is unconfirmed. What the September 2026 leak claims, the real V4 timeline, and the three signals that would prove V5 exists.
DeepSeek launches V4-Pro GA, the DeepSeek Harness agent framework, and industry-first surge pricing. Learn how to optimize 'Thinking Effort' and leverage off-peak AI rates.
A free, MIT-licensed coding agent runtime built on Cordis, where every capability — models, tools, sessions, even the UI — is a hot-swappable plugin. Install steps, architecture, Claude Code comparison and the honest limits.
Unlock the full potential of DeepSeek in 2026 with our guide to Retrieval-Augmented Generation (RAG). Learn how to build efficient, private, and low-cost AI knowledge systems.
Explore the architecture and real-world applications of DeepSeek's vision-language models. Learn how DeepSeek-VL dominates multimodal AI through efficiency and open-weight accessibility.
DeepSeek's agent-integrations docs now list Reasonix, a terminal coding agent built for api.deepseek.com directly — cache-first loop, V4-Flash by default, /pro to escalate. Setup steps and what a session really costs.
The official deepseek-v4-flash API went into public beta on July 31, 2026. Same model string, same architecture, new post-training — and agent scores like Terminal Bench 2.1 82.7 that pass V4-Pro-Preview. Plus native Responses API and Codex support.
Explore the revolution of DeepSeek's Reinforcement Learning and GRPO architecture. Learn why 'Reasoning' models are replacing 'Memorization' models in the 2026 AI landscape.
The legacy aliases died July 24 at 15:59 UTC. Every other guide says 'rename the string.' They're skipping the real story: your per-token price changed. Verified rate deltas, worked examples, migration checklist.
DeepSeek V4 hits General Availability on July 24, 2026. Legacy aliases retire, and the API industry's first structural peak/off-peak surge pricing (UTC+8) rolls out. Full developer migration guide.
Deep dive into why DeepSeek's MLA and MoE architecture is the 2026 standard for AI efficiency. Learn how it cuts costs and boosts performance vs. traditional Transformers.
Explore the economic and technical reasons why DeepSeek has become the enterprise SEO standard in 2026. Learn about TCO, RAG strategies, and advanced DevOps integration.
DeepSeek is reportedly developing a custom AI inference chip to reduce reliance on Nvidia and Huawei. Inside the strategic pivot, supply-chain impact, and what it means for open-source AI.
Transform your data science workflow with DeepSeek. Learn how to use this advanced AI for EDA, feature engineering, predictive modeling, and MLOps in our 2026 deep-dive.
A deep dive into DSpark: the semi-autoregressive drafter, confidence head and hardware-aware scheduler that make LLM inference 60–85% faster with byte-identical output.
Speculative decoding speeds up LLM inference with byte-identical output and no retraining. Here's how it works — and how DeepSeek's DSpark pushes per-user speed 57–85% on V4, Qwen and Gemma.
Master local DeepSeek deployment in 2026. This comprehensive guide covers hardware requirements, quantization strategies, and high-performance setups for AI autonomy.
Master DeepSeek's advanced reasoning and coding capabilities. This 2026 guide explains MLA architecture, R1 reasoning tokens, and how to outpace competitors with efficient AI.
Master DeepSeek V4: the 4 chat modes, chaining workflows, file uploads + web search stacking, and how to use the 1M context window like a pro.
DeepSeek raised $7.4B (50B yuan) at a $50B+ valuation. Inside the aggressively founder-centric LP structure — zero voting rights, 5-year lock-up, CATL, Tencent, and what it means for open-source AI.
DeepSeek raised over 50 billion yuan (~$7.4B) at a $50B valuation. Inside the unusual LP-vehicle structure that locks founder control, and the CATL/Tencent/NetEase/JD.com syndicate behind the deal.
Explore the technical brilliance of DeepSeek's MLA and MoE architectures. Learn why DeepSeek's efficiency and reasoning capabilities are dominating the AI landscape in 2026.
Discover why DeepSeek is the leader in efficient AI. This 2026 guide compares DeepSeek vs. the competition, explains MLA architecture, and provides a roadmap for implementation.
Anthropic shipped Claude Opus 4.8 today with sharper benchmarks, dynamic workflows in Claude Code, and a 3× cheaper fast mode. We compare it head-to-head with DeepSeek V4 Pro on capability, speed, and price.
DeepSeek is revolutionizing AI with its MoE architecture and Multi-Token Prediction. Discover how this AI powerhouse is outperforming giants like OpenAI and Google.
DeepSeek is revolutionizing AI with models like V3 and R1, offering GPT-4 class performance at a fraction of the cost. Learn how their MoE architecture is changing the industry.
Official DeepSeek V4 Preview is live: 1.6T MoE (49B active), V4-Flash (284B/13B), 1M context with DSA + Hybrid Attention, Muon optimizer, agent integrations (Claude Code, OpenCode) and a new API. Full breakdown.
Deep dive into DeepSeek V4's Compressed Attention — CSA, HCA, low-rank queries and the hybrid layer stack that cut KV-cache memory to ~2% while keeping a 1M-token context.
DeepSeek is revolutionizing AI with efficient MoE architectures and world-class coding models. Discover how DeepSeek-V2 and V3 are challenging the status quo in the AI industry.
Hands-on review of DeepSeek V4 Preview (Pro & Flash): 1M context, MIT license, ultra-cheap pricing — but does real-world performance match the benchmarks?
DeepSeek dominates April 2026 with the release of DeepSeek-V4-Pro, featuring Liquid MoE architecture, spatial vision reasoning, and NVIDIA H200 optimizations.
DeepSeek dominates April 2026 with the launch of V4-Pro, a 500k GPU expansion, and EU compliance, outperforming GPT-5 and Claude 4 in technical reasoning.
An in-depth analysis of DeepSeek V4's likely architecture — DSA, mHC, Engram, DualPath, and Blackwell optimization — based on published papers and code commits.
A new paper signed by Liang Wenfeng proposes Engram — a conditional memory module providing O(1) knowledge lookup that may power DeepSeek V4.
DeepSeek unveils mHC, a revolutionary training method that improves transformer efficiency by 6-7%. Experts call it a 'striking breakthrough' that could power the V4 model.
Comprehensive guide to DeepSeek AI in 2026. Master DeepSeek-V3.2, DeepSeek-R2, architectural innovations, API pricing, and best practices for developers.
AI shifts from pattern matching to true reasoning. Explore how Google Gemini 3 and DeepSeek are ushering in the 'System 2' era with self-correcting, deliberative AI.
DeepSeekMath-V2 achieves gold-level scores on IMO 2025, CMO 2024, and near-perfect 118/120 on Putnam 2024.
Senior researcher Chen Deli warns that AI could become a 'massive challenge' to humanity despite short-term benefits.
DeepSeek-OCR achieves 97% OCR precision at 10× compression ratio using DeepEncoder.
DeepSeek V3.1 quietly launches with doubled context window, 2.5x faster performance, and completely free access.
Discover how DeepSeek-R2 challenges Silicon Valley with multilingual reasoning, coding skills, and multimodal capabilities.
A detailed comparison of Meta's Llama 4 and DeepSeek AI across benchmarks, specialized capabilities, and use cases.
Discover how DeepSeek AI is challenging Silicon Valley's AI dominance with cost-effective, open-source models.
Introducing DeepSeek V3.1 with unprecedented reasoning capabilities, extended context window, and superior multilingual support.
Discover Deep Seek, an advanced search technology that delivers precise, context-aware results.
Explore the challenges Deep Seek faces with its early R2 AI model release.
Learn about deep learning AI, a subset of machine learning that uses neural networks to analyze data.
Discover how Vibe Coding is revolutionizing software development by leveraging AI to generate code from natural language prompts.
Explore the latest advancements in AI chat technology.
Access comprehensive market data and investment insights about Deep Seek's stock performance.
Explore Deep Seek R1, the state-of-the-art open source AI model.
Exploring how artificial intelligence is reshaping enterprise operations.
A comprehensive guide to modern deep learning architectures.
DeepSeek's V3.1-Terminus brings major improvements in agentic capabilities, long context handling, and user experience.
Each DeepSeek release gets its own write-up: what changed in the model string, whether the architecture moved or only the post-training, and what breaks in existing integrations. Recent coverage includes the official V4-Flash API, the retirement of deepseek-chat and deepseek-reasoner, and the peak/off-peak pricing structure.
Long-form explainers on the research behind the models — DSA and compressed attention, Engram memory lookup, mHC hyper-connections, and DSpark speculative decoding — written from the published papers rather than press summaries.
Per-token rates are checked against DeepSeek's official rate card and kept in one shared config, so the numbers on the pricing page, the ChatGPT comparison and the Claude comparison never drift apart.
Practical guides for the chat app and the API: the four V4 chat modes, working with the 1M-token context window, agent integrations, and the official login flow.
This is an independent community blog. It is not affiliated with, endorsed by, or operated by DeepSeek. Always confirm pricing and model availability in the official DeepSeek documentation before shipping to production.