DeepSeek V4
PulseAugur coverage of DeepSeek V4 — every cluster mentioning DeepSeek V4 across labs, papers, and developer communities, ranked by signal.
- developed by DeepSeek 100%
- subsidiary of DeepSeek 100%
- instance of DeepSeek 90%
- used by Huawei Ascend 90%
- used by 36Kr 90%
- founded Liang Wenfeng 90%
- used by Moore Threads 90%
- instance of DeepSeek V4-Flash 90%
- developed by DeepSeek V4-Flash 90%
- instance of DeepSeek V3.2 90%
- instance of mixture of experts 90%
- competes with Moonshot AI 80%
- 2026-06-08 product_launch DeepSeek's V4 model launch has led to significant price cuts by Chinese cloud providers and competitors like Xiaomi. source
- 2026-06-01 research_milestone DeepSeek V4, co-designed with Huawei hardware, shows significant performance gains, indicating a shift in global AI leadership. source
- 2026-05-31 research_milestone DeepSeek V4 demonstrates strong performance in Chinese cultural contexts and legal accuracy, despite mixed global benchmark results. source
- 2026-05-25 research_milestone DeepSeek V4 completes full adaptation to Huawei Ascend chips, marking a milestone for China's domestic AI stack. source
- 2026-05-24 research_milestone DeepSeek V4 is presented as a new AI model challenging OpenAI.
- 2026-05-23 product_launch DeepSeek released its V4 model with a 1 million token context window. source
- 2026-05-18 product_launch DeepSeek launched its V4 models, V4-Pro and V4-Flash, on April 24, 2026.
- 2026-05-16 product_launch DeepSeek V4, a new open-weight LLM family, was released with significant architectural improvements and cost reductions. source
- 2026-05-16 research_milestone DeepSeek V4 achieves a 98% reduction in KV-cache memory usage with its new compressed attention architecture. source
- 2026-05-15 product_launch DeepSeek released its V4 model with MegaMoE optimizations. source
- 2026-05-11 product_launch DeepSeek V4, an AI model with a sparse Mixture-of-Experts architecture, was released.
- 2026-05-11 product_launch DeepSeek officially released its new flagship model, DeepSeek-V4. source
24 day(s) with sentiment data
-
DeepSeek-V4 trains with novel routing and reward methods
DeepSeek-V4 introduces novel training techniques, including Anticipatory Routing to stabilize training by using older weights for routing decisions, and a Generative Reward Model (GRM) where the model itself acts as a j…
-
DeepSeek V4 adapts to Huawei Ascend chips, boosting China's AI stack
DeepSeek V4 has been fully adapted to run on Huawei's Ascend AI chips, a significant development for China's domestic AI infrastructure. This adaptation aims to reduce the country's dependence on foreign chip manufactur…
-
MiMo-V2.5-coder model released for local coding tasks
A new open-source coding-focused language model, MiMo-V2.5-coder, has been released. The model is presented as a strong alternative to Qwen3.6 and DeepSeek-V4, particularly for coding tasks. It is noted for its speed an…
-
Cursor users fear shift to usage-based AI pricing
Users of the AI-powered code editor Cursor are expressing concern over potential changes to its pricing model. Some users are worried that Cursor might adopt a usage-based pricing system, similar to what they've observe…
-
PapersWithCode adds multi-metric leaderboards and external paper support
Hugging Face has launched new features for PapersWithCode, a platform tracking AI state-of-the-art. The updates include support for multiple metrics on leaderboards, such as for Automatic Speech Recognition and Object D…
-
AI models refactor large code service for $3, but introduce deadlock
A user reported successfully using AI models to refactor a large FastAPI service with minimal human input, costing only $3. The process involved using cheaper, open-weight models like DeepSeek V4 and Tencent's Hunyuan H…
-
DeepSeek V4 launches with 1M token context for agents
DeepSeek has released its V4 model, boasting a 1 million token context window that is usable by agents. This release marks one year since DeepSeek's initial significant moment in the open-source AI ecosystem. The announ…
-
Hermes Agent release adds DeepSeek V4 access and Windows support
The latest release of the Hermes Agent Foundation provides access to the DeepSeek V4 model and introduces native Windows support. This update aims to improve accessibility and usability for users. The release details we…
-
Opencode Go offers DeepSeek V4 coding environment for €10/month
Opencode Go offers a coding environment using open-source models like DeepSeek V4. The service costs €5 for the first month, then €10 per month, with a €5 discount available.
-
Cursor IDE user overspends on Opus for routine code edits
A user discovered they spent $47 in a single month on Anthropic's Opus model within the Cursor IDE, primarily for routine code migration tasks. They realized that cheaper models like DeepSeek V4 and Tencent Hunyuan Hy3 …
-
DeepSeek V4 Flash hits 350 TPS with 1.5s latency
DeepSeek V4 Flash, a new iteration of the DeepSeek V4 model, has demonstrated impressive performance metrics. It achieves a throughput of 350 tokens per second with a latency of approximately 1.5 seconds. This advanceme…
-
Claude Opus 4.5 leads coding benchmarks; DeepSeek V4 excels at large refactors
A comparison of Claude Opus 4.5 and DeepSeek V4 highlights their distinct strengths in coding tasks. Claude Opus 4.5 excels at precise, surgical fixes for production bugs and single-file issues, achieving a leading 80.9…
-
Cursor IDE user reports issues integrating Deepseek V4 models via OpenAI API
A user shared their experience integrating Deepseek V4 models into the Cursor IDE via an OpenAI-compatible API. Initial attempts with direct Deepseek API keys resulted in errors on longer prompts, while using Openrouter…
-
Anthropic's Claude leads in AI safety benchmark, outperforming rivals
A new benchmark, DystopiaBench, reveals that Anthropic's Claude models continue to exhibit superior safety alignment compared to other leading LLMs. Across six dystopian scenarios, Claude consistently refused to generat…
-
NetEase Youdao integrates DeepSeek-V4 across product suite
NetEase Youdao has integrated DeepSeek-V4 across its product suite, including its dictionary, translation, and AI tutoring applications. This integration aims to enhance personalized language learning and AI tool assist…
-
Da Pu Wei stock halted amid price surge; NetEase Youdao integrates DeepSeek-V4
Da Pu Wei's stock has been suspended from trading starting May 19th due to significant price fluctuations over three consecutive trading days, exceeding a 30% increase. The company expects the suspension to last no more…
-
Open AI Models Lag Frontier Closed Models, Benchmarks Debated
Several leading AI labs have released new open-source models, including DeepSeek V4, Gemma 4, Kimi K2.6, and MiMo 2.5. An assessment by CAISI suggests these open models lag behind frontier closed models, with the gap wi…
-
DeepSeek V4 launches with 1.6T MoE, 1M context, and lower costs
DeepSeek V4, an open-weight model family, has been released with a 1.6-trillion-parameter Mixture-of-Experts architecture that activates only 49 billion parameters per token. This new model boasts a 1-million-token cont…
-
LLM Architectures Innovate for Long-Context Efficiency
Sebastian Raschka's analysis highlights recent architectural innovations in open-weight LLMs aimed at improving long-context efficiency. Key developments include KV sharing and per-layer embeddings in Google's Gemma 4 m…
-
DeepSeek V4 paper details algorithmic shifts in MoE scaling
DeepSeek V4, a new frontier model, has been detailed in a technical paper, showcasing significant advancements in Mixture-of-Experts (MoE) scaling. The paper delves into the algorithmic shifts that enable this scaling, …