Google has launched Gemma 4 12B, an open-source AI model that can analyze audio and video while running entirely on enterprise laptops with 16GB of RAM, marking a focus on smaller, locally-deployable models rather than larger cloud-based alternatives.
MiniMax released model weights for MiniMax M2.7 on Hugging Face, a self-evolving agent model that scores 56.22% on SWE-Pro and 57.0% on Terminal Bench 2. The company also released MMX-CLI, a command-line interface providing native access to image, video, speech, music, vision, and search capabilities.
US startup Arcee AI invested approximately half of its total venture capital to train Trinity-Large-Thinking, a 400 billion parameter open reasoning model designed to compete with Anthropic's Claude Opus in agent tasks.
Meta Superintelligence Labs released Muse Spark, its first frontier AI model and first without open weights, marking a significant shift from Meta's open-source strategy. The model now powers Meta AI app and Meta.ai website.
Chinese AI company Z.AI unveiled GLM-5.1, a 754B parameter open-source agentic model that achieves state-of-the-art performance on SWE-Bench Pro and can run autonomously for up to 8 hours on long-horizon engineering tasks.
Google's DeepMind released Gemma 4, a family of four open-weight AI models ranging from edge devices to workstations, marking the first time Google has used the fully open Apache 2.0 license instead of its previous restricted licensing. The models support up to 256K context windows and 140+ languages.
