#open-weight models

Tencent has released Hy4, an open-weight foundation model, with open-sourced HyCell and HyPDE models for single-cell representation and physical-field modeling. For game development, Tencent says it worked with its Interactive Entertainment Group to curate training data and evaluations covering feature implementation, gameplay logic, state tracking, and asset pipelines, and adapted Hy4 for Unreal Engine, Unity, and Godot plus multiplayer development. The release acknowledges a gap between Hy4 and top proprietary models on internal benchmarks for research-level mathematics, long-horizon coding, model self-improvement, and advanced visual question answering, and says it will continue scaling pre-training and post-training.

Moonshot AI has published open weights for Kimi K3.1 Pro on Hugging Face, the first model in its K3.1 series. The model is natively multimodal and agent-oriented, with 2.8 trillion total parameters, 104 billion active parameters, and roughly 1 million tokens of context; the weights are released in MXFP4 quantization. Moonshot also offers an API through platform.kimi.ai under the kimi-k3.1-pro identifier, compatible with OpenAI and Anthropic interfaces. The supplied material does not include verified benchmark results.