MiMo-V2.6-Flash is part of Xiaomi's MiMo-V2.6 series, released and open-sourced on September 22, 2026 as a natively omnimodal model that accepts text, images, audio, and video while producing text output. Within the family, Xiaomi positions Flash below the Pro variant as the option that strikes the best balance between intelligence, efficiency, and cost, making it suited for deployments where a smaller footprint matters more than maximum capability. The series reflects Xiaomi's broader research direction of scaling reinforcement-learning compute on verifiable, complex tasks so models can extend their capability frontier through exploration and feedback rather than relying solely on static training.
In Xiaomi's own benchmark disclosures, MiMo-V2.6-Flash shows clear gains over its predecessor MiMo-V2.5-Pro on coding and agentic evaluations, reaching 67.9 on DeepSWE v1.1, 26.0 on ProgramBench, and 61.2 on the in-house MiMo Code Bench, compared with 19.0, 12.5, and 40.4 respectively for the prior generation. It also posts competitive results on the agentic suite, including 73.6 on Toolathlon-verified and 52.3 on Automation Bench v1.0.6, suggesting strong tool use and automation behavior alongside its coding strength. With open weights available, Flash is best suited to developers who want a flexible omnimodal base for reasoning, coding assistants, and tool-driven agents without committing to the heavier Pro variant.
