MiMo-V2.6-Pro.
MiMo-V2.6-Pro is Xiaomi's MIT-licensed mixture-of-experts model, 1.02T total and 42B active, with text, image, video and audio input and a 1M-token context for long agent runs.
8× Nvidia A100 SXM4 · $5.73/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-Flash
MiMo-V2.6-Flash is Xiaomi's MIT-licensed 309B mixture-of-experts model, 15B a...
MiMo-V2.6-Pro-UltraSpeed
MiMo-V2.6-Pro-UltraSpeed is the fast speed edition of Xiaomi's flagship found...
MiMo-V2-Flash
MiMo-V2-Flash is an open-source foundation language model developed by Xiaomi...
MiMo-V2-Omni
MiMo-V2-Omni is a frontier omni-modal model that natively processes image, vi...
MiMo-V2-Pro
MiMo-V2-Pro is Xiaomi's flagship foundation model, featuring over 1T total pa...
MiMo-V2.5
MiMo-V2.5 is a native omnimodal model by Xiaomi. It delivers Pro-level agenti...
MiMo-V2.5-Pro
MiMo-V2.5-Pro is Xiaomi’s flagship model, delivering strong performance in ge...
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. $/小时为当前最低报价。多卡配置在有同规格实例出租时使用真实实例价格,否则为单卡价格乘以卡数。
| Quantisation | Cheapest GPU config | Total VRAM | Live $/hr | tokens/sec | |
|---|---|---|---|---|---|
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FP8
FP8 — 8-bit float (Hopper / Blackwell)
|
1536 GB |
$22.60/hr
Cyfuture AI · 按需
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— | Compare → | |
|
INT4
INT4 — 4-bit integer (~4× VRAM saving)
|
640 GB |
$5.73/hr
估算:8 × 单卡价格
Nosana · 按需
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— | Compare → |
What it costs per month across providers.
Estimate your monthly bill for MiMo-V2.6-Pro across every host that publishes per-token pricing. Slide your token volumes; the chart + table re-rank cheapest-first.
最便宜的服务商在左侧。
每月总成本 — 输入与输出 token 合计。
账单明细。
租 GPU,而不是按 token 付费。
对于 MiMo-V2.6-Pro 这类开放权重模型,你可以租一块 GPU 自己提供推理服务。算法:最便宜的 GPU 租价 × 每月 730 小时。电费已包含在租用的每小时价格中。
假设 GPU 全天 24 小时运行,利用率约 85%。如果流量时高时低,API 会更省钱,GPU 则可能更贵(空闲时段仍要付租金)。盈亏平衡分析见自托管与 API 盈亏平衡工具。
About MiMo-V2.6-Pro.
MiMo-V2.6-Pro is the lead checkpoint of Xiaomi's MiMo-V2.6 series, published as MiMo-V2.6-Pro-RL under the MIT licence. It is a sparse mixture-of-experts model with 1.02T total and 42B active parameters. It takes text, images, video and audio in one model, with a 1M-token context meant for long repositories, tool traces and multi-session agent runs. Xiaomi trained coding, general agent, visual and cybersecurity tasks in one mixed reinforcement learning run.