MiMo-V2.6-Flash.
MiMo-V2.6-Flash is Xiaomi's MIT-licensed 309B mixture-of-experts model, 15B active, taking text, image, video and audio with a 1M-token context for agent work.
4× Nvidia Q RTX 8000 · $1.05/hr.
Most-aggressive quantisation we have a working recommendation for. Lower precision = less VRAM = cheaper hardware, at a small accuracy cost.
Cheapest hosted endpoints.
Variants in the MiMo family.
MiMo-V2.6-Pro is Xiaomi's MIT-licensed mixture-of-experts model, 1.02T total ...
MiMo-V2.6-Pro-UltraSpeed is the fast speed edition of Xiaomi's flagship found...
MiMo-V2-Flash is an open-source foundation language model developed by Xiaomi...
MiMo-V2-Omni is a frontier omni-modal model that natively processes image, vi...
MiMo-V2-Pro is Xiaomi's flagship foundation model, featuring over 1T total pa...
MiMo-V2.5 is a native omnimodal model by Xiaomi. It delivers Pro-level agenti...
MiMo-V2.5-Pro is Xiaomi’s flagship model, delivering strong performance in ge...
Frequently asked.
How do I run MiMo-V2.6-Flash?
Where can I access MiMo-V2.6-Flash?
How much does it cost to run MiMo-V2.6-Flash?
Is MiMo-V2.6-Flash open-source or proprietary?
Cheapest hardware per quantisation.
Each row is one quantisation tier (the same weights compressed differently). Lower precision → lower VRAM → cheaper hardware, at the cost of small accuracy loss. $/hr is the cheapest rate on offer now. A multi-card setup uses a real instance of that size when one is rented; otherwise it is the single-card rate times the count.
| Quantisation | Cheapest GPU config | Total VRAM | Live $/hr | tokens/sec | |
|---|---|---|---|---|---|
|
FP16
FP16 — half precision (default)
|
768 GB |
$8.27/hr
Cyfuture AI · on-demand
|
— | Compare → | |
|
FP8
FP8 — 8-bit float (Hopper / Blackwell)
|
384 GB |
$2.10/hr
est. 8 × single-card rate
Vast.ai · on-demand
|
— | Compare → | |
|
INT4
INT4 — 4-bit integer (~4× VRAM saving)
|
192 GB |
$1.05/hr
est. 4 × single-card rate
Vast.ai · on-demand
|
— | Compare → |
What it costs per month across providers.
Estimate your monthly bill for MiMo-V2.6-Flash across every host that publishes per-token pricing. Slide your token volumes; the chart + table re-rank cheapest-first.
Cheapest provider on the left.
Total monthly cost — input + output tokens combined.
Bill breakdown.
Rent the GPU instead of paying per token.
For an open-weights model like MiMo-V2.6-Flash, you can rent a GPU and serve inference yourself. The math: cheapest GPU rental × 730 hours/month. Power is included in a rental's hourly price.
Assumes the GPU runs 24/7 at ~85% utilisation. If your traffic is bursty, you'll pay less for the API and probably more for the GPU (idle hours still cost rental). The breakeven analysis lives on the Self-host vs API breakeven tool.
About MiMo-V2.6-Flash.
MiMo-V2.6-Flash is the efficiency-balanced checkpoint of Xiaomi's MiMo-V2.6 series, with open weights under the MIT licence. It is a sparse mixture-of-experts model with 309B parameters in total and 15B active. One model takes text, images, video and audio, with a 1M-token context meant for long repositories, tool traces and multi-session agent runs. Xiaomi trained it with one mixed reinforcement-learning run across coding, general agents, visual tasks and cybersecurity. The series also has a Pro checkpoint.