Xiaomi MiMo-V2-Flash
Xiaomi MiMo-V2-Flash publishes its weights, but at 309B parameters (15B active per token) no consumer machine holds the checkpoint. This page covers the access paths that work and the open models that actually run locally.
Why you can't run Xiaomi MiMo-V2-Flash locally
At 309B parameters (15B active per token), a Q4-class build of Xiaomi MiMo-V2-Flash would need roughly 185 GB — a 256GB Mac Studio could hold the weights in principle, but no registry-verified local build exists today. That figure is arithmetic, not opinion: 0.6 GB per billion parameters is the standard Q4 rule we apply across the whole catalog. The weights themselves are public (official source linked below); capacity, not licensing, is the wall.
What works instead: the hosted API. For most workloads, the open models below deliver the same job on hardware that fits under a desk.
Dec 16, 2025 Xiaomi release (MIT, XiaomiMiMo/MiMo-V2-Flash on HF). 309B total / 15B active MoE with hybrid attention and Multi-Token Prediction, 256K context. SWE-Bench Verified 73.4 and AIME 2025 94.1 per Xiaomi's model card. No Ollama build, but community GGUFs exist (bartowski, unsloth), so a ~Q4 build fits a 256GB-class machine via llama.cpp.
What to run locally instead of Xiaomi MiMo-V2-Flash
Frequently asked questions
Can I run Xiaomi MiMo-V2-Flash locally?
Not on hardware you can buy. The weights are public, but Xiaomi MiMo-V2-Flash is a 309B-parameter model (15B active), and a Q4-class build would need roughly 185 GB — a 256GB Mac Studio could hold the weights in principle, but no registry-verified local build exists today. Until the ecosystem ships a smaller official build, the API or a smaller open model is the practical path.
How do I access Xiaomi MiMo-V2-Flash?
Through the vendor's hosted API. The official source is linked on this page.
What is the best local alternative to Xiaomi MiMo-V2-Flash?
Qwen3 235B A22B is the strongest local model we track (235B, from 192 GB machines), with Qwen3.5 122B-A10B Instruct close behind. Both run on a single high-memory Mac or GPU — see their pages for exact hardware.
Cite this page
ModelFit: Xiaomi MiMo-V2-Flash — specs, memory math and hardware verdicts. https://modelfit.io/models/mimo-v2-flash/ (dataset updated 2026-09-03, CC BY 4.0).