
DeepSeek V4 has been introduced as a nearly state-of-the-art AI model that is open-sourced and offers substantial cost savings. It charges $1.74 per million input tokens, which is significantly cheaper than the $5 charged by competitors like GPT-5.5 and Claude Opus 4.7. Additionally, DeepSeek V4 can be run locally, providing users with enhanced privacy. This combination of affordability, capability, and privacy could potentially disrupt the current AI market landscape.
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© Lev SelectorNew tiny local models Bonsai 2 and Needle (8-29 MB) demonstrate that small, offline-capable AI can make fast, useful decisions.
This release quietly cements llama.cpp as the universal inference runtime by finally bringing first-class ROCm 10.0 support to both Linux and Windows. AMD GPU users no longer need workarounds, effectively closing a long-standing parity gap with NVIDIA's CUDA ecosystem. Equally notable is the new Linux arm64 build targeting Snapdragon chips, which unlocks local AI on high-performance mobile hardware via CPU, Adreno GPU, and Hexagon NPU acceleration. While KleidiAI on Apple Silicon has been disabled in this specific binary, the broader platform expansion signals that llama.cpp is aggressively standardizing how models run across every major silicon architecture.
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DeepSeek V4 Paper Released
10 developments
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