OpenBMB's MiniCPM5-2B Tops Open Models Under 4B Parameters on Artificial Analysis Index v4.2

MiniCPM5-2B Tops Larger AI Models in OpenBMB Tests

OpenBMB says MiniCPM5-2B tops larger models on its 34-test benchmark table. eWeek finds where the 2.52B-parameter model wins and falls short.

China's OpenBMB Releases MiniCPM5-2B, Beating Every Open Model Under 4B

OpenBMB released MiniCPM5-2B on September 7, a 2.52-billion-parameter open model that tops the Artificial Analysis Intelligence Index among all models under 4 billion parameters, beating Qwen3.5-4B despite having roughly half the size. The Tsinghua NLP Lab and ModelBest joint venture also published its full training data, RL corpus, and checkpoints under Apache 2.0, and the model runs locally on phones and laptops via llama.cpp, Ollama, and MLX.

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

OpenBMB has released MiniCPM5-2B, a dense causal language model with 2,516,756,480 parameters and a native 131,072 token context. It averages 53.9 across the 34 benchmarks in its model card, ahead of Qwen3.5-4B at 51.1, with its clearest leads in tool use, coding agents and long-context retrieval. Post-training pairs 400B tokens of deep-thinking SFT with RL teachers and on-policy distillation that merges 16 expert models into one checkpoint. The…

OpenBMB's MiniCPM5-2B tops open models under 4B parameters on Artificial Analysis Index v4.2

MiniCPM5-2B's success highlights the growing importance of efficient AI models for edge devices, emphasizing accessibility over raw power.

OpenBMB’s MiniCPM5-2B tops open models under 4B parameters on Artificial Analysis Index v4.2

MiniCPM5-2B's success highlights the growing importance of efficient AI models for edge devices, emphasizing accessibility over raw power. The post OpenBMB’s MiniCPM5-2B tops open models under 4B parameters on Artificial Analysis Index v4.2 appeared first on Crypto Briefing .