V4-Pro
PulseAugur coverage of V4-Pro — every cluster mentioning V4-Pro across labs, papers, and developer communities, ranked by signal.
- developed V4.1 Flash 95%
- developed by V4.1 Flash 95%
- affiliated with V4-Flash 90%
- developed DeepSeek-V4 Flash 90%
- instance of V4-Flash 90%
- instance of An Ape and a Fox 90%
- instance of DeepSeek V4-Pro 90%
- competes with Claude Fable-5 80%
- competes with GPT 5.6 "Sol" 80%
- competes with V4-Flash 70%
- developed V4-Flash 70%
- instance of DeepSeek-V4 Flash 70%
- 2026-08-31 product_launch DeepSeek launched its V4-Pro model with a new tiered pricing structure. source
5 day(s) with sentiment data
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Mac app converts documents for RAG; AI model V4-Pro offers cost and speed benefits
A developer created a Mac application that converts various document types, including PDFs, Word files, and spreadsheets, into a folder of Markdown files optimized for Retrieval-Augmented Generation (RAG). This tool aim…
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DeepSeek API Pricing for 2026: Peak/Off-Peak Billing and International Access
DeepSeek's API pricing for 2026 involves a peak and off-peak billing model, with peak hours doubling the cost for developers. International users face challenges due to the requirement for a Chinese phone number and CNY…
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V4 Pro model quickly un-retired
The V4 Pro model has been quickly un-retired, indicating a rapid reversal of a previous decision. This suggests a dynamic and responsive development or product management process for the V4 Pro.
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DeepSeek's V4.1 Flash AI model surpasses Kimi K3 and GPT-5.6 Sol on benchmarks
DeepSeek has launched its V4.1 Flash model, a new AI system that reportedly outperforms competitors like Moonshot AI's Kimi K3 and OpenAI's GPT-5.6 Sol on specific benchmarks. The model utilizes a novel "Causal-Encoder-…
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DeepSeek to launch V4.1 Flash model in September 2026
DeepSeek is preparing to launch its V4.1 Flash model around September 10, 2026. This new iteration is expected to be more capable and cost-effective than the current V4-Pro model. The company, also referred to as DSeek,…
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DeepSeek releases V4.1 Flash with efficient MoE architecture
DeepSeek has officially released its V4.1 Flash model, a 552 billion parameter Mixture-of-Experts (MoE) model featuring a Causal-Encoder-Decoder (CED) architecture and native multimodal capabilities. This new model is d…
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DeepSeek raises AI model prices amid industry price war · 2 sources tracked
DeepSeek has introduced a new pricing structure for its V4-Pro model, marking a departure from the industry-wide trend of price reductions. The flagship model, featuring a 1.6-trillion-parameter count and a million-toke…
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DeepSeek open-sources agent runtime Harness, releases V4-Pro
DeepSeek has open-sourced its agent runtime, Harness (dsh), under the MIT license. This runtime features a modular architecture where models, tools, skills, sessions, sandboxes, and file systems are all pluggable compon…
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DeepSeek V4 vs. Kimi K2: Choosing LLM APIs for 2026
The article compares DeepSeek V4 and Kimi K2, two Mixture-of-Experts (MoE) LLM APIs, highlighting their strengths and weaknesses for developers in 2026. DeepSeek V4 excels with its 1 million token context window and cos…
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China bypasses US chip blockade with DeepSeek V4 Pro model release
China is circumventing US chip export controls by directly distributing the weights for DeepSeek's new V4 Pro model to developers worldwide. This strategy leverages open-weight models to build immediate ecosystem depend…
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DeepSeek hikes API prices up to 1,100% for V4 models
DeepSeek has implemented new API pricing that took effect on August 17th. The updated rates for their V4-Flash and V4-Pro models establish a 1:2 ratio between peak and off-peak usage. Some prices have seen significant i…
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LLM pricing shifts: Google's Gemini Flash doubles, DeepSeek adds peak/off-peak
Several major LLM providers have recently adjusted their pricing structures, with some introductory offers set to expire. Google's Gemini 3.7 Flash, initially halved in price, will double its cost in 2027, a detail larg…
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DeepSeek V4 Pro shows strong coding gains in practical frontend tests
DeepSeek has released its V4 Pro model, which shows significant improvements in code generation and reasoning capabilities compared to its predecessor, V3.1. While official benchmarks highlight gains, this article focus…
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DeepSeek V4-Pro API Ignores Token Limits, Inflates Costs
An independent developer testing DeepSeek's V4-Pro model discovered that the API ignored specified token limits, leading to excessive token consumption and increased costs. The model's default reasoning mode generated t…
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DeepSeek V4 models debut with staggered, multi-stage release strategy
DeepSeek has adopted a staggered release strategy for its V4 models, beginning with an open-weight preview of V4-Pro and V4-Flash in April 2026. The V4-Flash model then graduated to general availability (GA) on July 31,…
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DeepSeek releases V4 Pro model and agent framework, offering competitive performance at lower costs · 4 sources tracked
Chinese AI startup DeepSeek has released its V4 Pro model, which offers enhanced agent capabilities and impressive performance in cybersecurity. The model also boasts a 1 million token context window and significantly l…
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DeepSeek V4 Pro 0813 released, competes on cost and capability
DeepSeek has released its V4 Pro 0813 model, an enhanced version with improved agentic capabilities and performance, particularly for production environments. This model is now available on platforms like Hugging Face a…
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Russian users struggle to pay for DeepSeek AI models, explore workarounds
Russian users are facing difficulties paying for DeepSeek's AI models due to payment processing issues. While DeepSeek's pricing is competitive, with models like DeepSeek-V4-Flash costing $0.14 per million input tokens,…
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Moonshot AI's Kimi K3 generates macOS desktop, designs chip
Moonshot AI has released Kimi K3, a 2.8 trillion-parameter open-weight model with a one-million-token context window. This model is capable of complex, long-horizon tasks, including autonomously generating a functional …
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Cursor IDE users compare V4-Pro, Grok 4.6, and GLM 5.3
A user on Reddit's r/cursor subreddit has initiated a discussion comparing the performance of V4-Pro, Grok 4.6, and GLM 5.3. The post seeks to understand how these different AI models stack up against each other, likely…