Models · Xiaomi MiMo

Deploy Xiaomi MiMo models on dedicated GPUs

5 Xiaomi MiMo models ready to deploy on GPU capacity reserved for you, from 310B to 1.02T parameters, covering chat & reasoning. Private OpenAI-compatible endpoint, European GPUs, billed per GPU-hour.

ModelParams
Xiaomi MiMo311B
MiMo-V2.6-Pro-RLtrendingMoE
Xiaomi MiMo
1.02T
Xiaomi MiMo1.02T
Xiaomi MiMo310B
Xiaomi MiMo311B

Specs from Hugging Face, synced 2026-10-27. Machine-readable version: https://sference.com/models/XiaomiMiMo.md

FAQ

Which Xiaomi MiMo models can I deploy on sference?

5 today, most requested first: MiMo-V2.6-Flash-RL, MiMo-V2.6-Pro-RL, MiMo-V2.5-Pro, MiMo-V2-Flash and MiMo-V2.5. Any other Xiaomi MiMo checkpoint or a fine-tune of one can be requested with the form on this page.

How many GPUs do Xiaomi MiMo models need?

It depends on the model: the lineup runs from 310B to 1.02T parameters. Each model page lists the checkpoint size and the minimum footprint on 80 GB and 141 GB GPUs. You don't pick hardware on sference: you choose a performance tier and we size the deployment.

Can I use Xiaomi MiMo models commercially?

5 of the 5 listed models are under licenses that allow commercial use (MIT across the lineup). Each model page summarizes its license and links the full text.

How is a dedicated deployment priced?

Per GPU-hour on a monthly commitment, sized to your throughput and latency targets.

Request a Xiaomi MiMo model

Tell us which Xiaomi MiMo model and roughly how much traffic you expect. Fine-tunes of these models work the same way.

  1. 01
    We size it

    A performance tier, the capacity behind it, and a quote for your volume.

  2. 02
    We benchmark it

    Bring one workload with a sample of real traffic; we come back with latency and throughput numbers.

  3. 03
    It goes live

    We provision the deployment. You call it with the same API and model id as before.

No commitment. Prefer email? [email protected]