MiMo V2.5 Pro is an open-source Mixture-of-Experts language model from Xiaomi MiMo positioned as the most capable entry in the lineup to date, aimed squarely at demanding agentic, complex software engineering, and long-horizon tasks. It carries 1.02T total parameters with 42B active per inference, runs a hybrid attention architecture that interleaves sliding window and global attention at roughly a 6:1 ratio with a 128-token window, and adds three lightweight Multi-Token Prediction modules that both accelerate inference and improve rollout efficiency in reinforcement-learning training. Together those choices let the model hold coherent trajectories spanning thousands of tool calls while keeping the key-value cache compact enough for practical long-context serving.
In OpenCode's ecosystem, MiMo V2.5 Pro is offered as part of a vetted catalog of open coding models, sitting in usage rankings below the non-Pro MiMo V2.5 and ahead of other open competitors, with hundreds of billions of tokens routed through it in mid-2026. The model card highlights that it sustains complex, multi-step agentic behavior over a very long context window, making it a natural fit for teams that want open weights for code generation, repository-scale reasoning, and tool-driven workflows without paying for closed frontier tiers. Community variants such as the FP4-DFlash quantization discussed on NVIDIA's DGX Spark forum point to an active quantization ecosystem extending the base model to constrained hardware.
