V4-Pro
PulseAugur coverage of V4-Pro — every cluster mentioning V4-Pro across labs, papers, and developer communities, ranked by signal.
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Claude Opus 4.7, GPT-5, and DeepSeek V4-Pro agents compared in Rust CLI build
DeepSeek has released a preview of its V4-Pro model, an MoE architecture with 1.6 trillion parameters. This release is positioned as a competitor against models like OpenAI's GPT-5 and Anthropic's Opus 4.7. The models w…
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DeepSeek V4-Pro launches, a 1.6T parameter model rivaling Claude Opus
DeepSeek has released V4-Pro, a 1.6-trillion-parameter open-source model. This new model demonstrates performance close to Claude Opus on coding tasks. The release marks a significant return for the Chinese AI lab, foll…
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OpenAI doubles GPT-5.5 prices, DeepSeek offers cheaper open models
OpenAI has released GPT-5.5, doubling the price of its API tokens while introducing a 1 million token context window and enhanced capabilities for agents. This move positions GPT-5.5 as a premium, integrated product for…
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DeepSeek V4 AI model undercuts GPT-5.5 on price, rivals performance
China's DeepSeek has released its V4 AI model, significantly undercutting competitors like OpenAI's GPT-5.5 in price. The V4 Pro model offers substantial discounts, with input costs reduced to a fraction of previous lev…
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DeepSeek releases V4, an open-source model rivaling top closed-source AI
Chinese AI firm DeepSeek has released V4, a new flagship model that offers improved efficiency and longer context windows. The model is open-source and comes in two versions: V4-Pro for complex tasks and V4-Flash for sp…
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DeepSeek V4 models offer high performance with reduced inference costs and NPU support
DeepSeek has released its V4 family of open-weight large language models, featuring a 1.6 trillion parameter model and a smaller 284 billion parameter Flash MoE model. These new models claim to rival top proprietary LLM…
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Google, DeepSeek, and arXiv papers explore agent learning and memory
DeepSeek has released two new open-weight models, V4-Pro and V4-Flash, featuring a 1 million token context window and Mixture of Experts architecture. These models are significantly larger than previous DeepSeek release…