OpenBMB Releases MiniCPM5-2B: A 2.52B Dense Model Averaging 53.9 Across 34 Benchmarks and Built to Run On Device

OpenBMB has launched MiniCPM5-2B, a 2.52 billion parameter dense causal language model with a 131,072 token context window. It outperforms Qwen3.5-4B on 34 benchmarks, especially in tool use, coding agents, and long-context retrieval, and is designed to run on-device with efficient GGUF builds.