
Google has launched Gemini 4 Argon, its first major frontier model release since late 2025, claiming competitive performance in coding, science, and law benchmarks. The model is available to Pro and Ultra subscribers via the Gemini app and Search, with API access priced at $2 per million input tokens—significantly lower than rivals like GPT-6 Astra. Internal use cases include cybersecurity vulnerability patching and optimizing YouTube comment processing. This release follows months of Google trailing competitors in the AI race and aims to reclaim market share through aggressive pricing and integration into existing Google services.
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This release quietly cements llama.cpp as the universal inference runtime by finally supporting NVIDIA's latest CUDA 13 stack alongside AMD's ROCm 10.0. The inclusion of native builds for Linux arm64 with Snapdragon chips, covering CPU, Adreno GPU, and Hexagon NPU, signals a serious push into mobile edge deployment. While Apple Silicon KleidiAI is disabled in this specific build, the broader hardware coverage means developers no longer need to compile from source for most modern accelerators. It’s less about new features and more about removing friction for anyone running local models on bleeding-edge or diverse hardware.
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Google releases Gemini 4 Argon with restricted access
15 developments
Google launched Gemini 4 Carbon, a new model variant aimed at providing high performance at a lower cost for inference tasks.