Dataset updated 2026-11-12Xiaomi MiMo-V2.6-Flash
Xiaomi MiMo-V2.6-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.
- Parameters
- 309B(15B active)
- Format
- API
- Runs locally
- No
- Best for
- Agentic coding, Multimodal, Long context
Why you can't run Xiaomi MiMo-V2.6-Flash locally
At 309B parameters (15B active per token), a Q4-class build of Xiaomi MiMo-V2.6-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.
Sept 21, 2026 Xiaomi release (MIT, XiaomiMiMo/MiMo-V2.6-Flash-RL on HF), successor to MiMo-V2-Flash. Sparse MoE with 309B total / 15B activated parameters, native text, image, video and audio input, 1M tokens of context. No Ollama build; community GGUFs exist, so a ~Q4 build fits a 256GB-class machine via llama.cpp.
What to run locally instead of Xiaomi MiMo-V2.6-Flash
| Model | Params | Runs on | Use |
|---|---|---|---|
| Qwen3.5 122B-A10B Instruct | 122B | from 96 GB machines | frontier-level reasoning |
| Qwen3.8 27B | 27B | from 24 GB machines | coding |
| Laguna S 2.1 | 118B | from 128 GB machines | agentic coding |
More MiMo models
3 pagesGet told when a better model fits your MacBook Air M5 16 GB
Get one email when a new open-weight model is a better fit for this machine.
For: MacBook Air M5 16 GB
You'll also get the weekly ModelFit email. By signing up you agree to our Privacy Policy. Unsubscribe from either email anytime, in one click.
Config reports
No speed test run for this model yet. Run the speed test: npx @modelfit/cli@latest bench
Share your config
Frequently asked questions
Can I run Xiaomi MiMo-V2.6-Flash locally?
Not on hardware you can buy. The weights are public, but Xiaomi MiMo-V2.6-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-V2.6-Flash?
Through the vendor's hosted API. The official source is linked on this page.
What is the best local alternative to Xiaomi MiMo-V2.6-Flash?
Qwen3.5 122B-A10B Instruct is the strongest local model we track (122B, from 96 GB machines), with Qwen3.8 27B close behind. Both run on a single high-memory Mac or GPU, see their pages for exact hardware.
Cite this page
ModelFit: Xiaomi MiMo-V2.6-Flash, specs, memory math and hardware verdicts. https://modelfit.io/models/mimo-v2.6-flash (dataset updated 2026-11-12, CC BY 4.0).