open models

Mistral AI has made its Regional Endpoints generally available, letting customers choose EU or US inference, while opening its platform to third-party open models starting with Z.ai's GLM-5.2. The company also announced a coalition of European enterprises committing to long-term compute capacity, targeting up to 1GW by 2030.

Ollama v0.32.7 adds support for Muse Glimmer, a 30B-parameter multimodal model that Meta describes as the first release from its new Meta Superintelligence Labs division. Initial support runs through Ollama's MLX engine on Apple Silicon, with NVIDIA and AMD support promised in the coming days.

A dense wave of open-weight model releases—including Thinking Machines' first model Inkling, Poolside's Laguna S2.1, and Moonshot AI's Kimi K3—signals that consolidation predictions for AI labs have not materialized. Licensing terms, particularly Kimi K3's noncommercial agreement requirement, are emerging as a new front in US-China AI policy.

A wave of open-weight model releases from Thinking Machines, Tencent, Poolside, Moonshot AI, and Meituan signals that model-building capacity is spreading rather than consolidating. The releases range from a 1.6 trillion-parameter MoE trained entirely on Chinese accelerators to a noncommercial-licensed model raising new questions about US-China AI trade.

InclusionAI has released Ling-3.0-flash, a 124-billion-parameter Mixture-of-Experts model that activates roughly 5.1 billion parameters per token. The model targets production-scale agentic workloads with a 262K context window and an emphasis on token efficiency.