Modeldex
Xiaomi

MiMo-V2-Pro

CTX1.05M
Retired
80Quality
Reasoning · Tools
TextInput$0.43/M
TextOutput$0.87/M

Earlier MiMo Pro model for multimodal agents, reasoning, and code tasks

PaidProprietary835/1044
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XiaomiTextCommonRetired

MiMo-V2-Pro

Earlier MiMo Pro model for multimodal agents, reasoning, and code tasks

mimo-v2-pro
Type
Text
Quality
80 · Top 20% on the LMArena Text
Context window
1,048,576 tokens
Max output
131,072 tokens
Input price
$0.43 / 1M tokens
Output price
$0.87 / 1M tokens
Cache read
$0.0036 / 1M tokens
Cache write
—
Released
Mar 18, 2026
Knowledge cutoff
Dec 2024
Takes in
Text
Puts out
Text
Reasoning
Yes
Tool calling
Yes
Structured output
No
File attachments
No
Access
Paid
License
Proprietary
Rarity
Common
Set number
835/1044

Weights aren’t public. Use is governed by Xiaomi’s terms. Specs from models.dev, last changed Oct 19, 2026. Official source: platform.xiaomimimo.com.

How good is it?

Public leaderboard scores for MiMo-V2-Pro, refreshed daily from Epoch AI and LMArena.

Top 20% of the 416 models on the LMArena Text: #85.

Quality is the share of a leaderboard’s models this one beats, from 0 to 100. Chat models are rated on Epoch AI’s Capabilities Index when it lists them, otherwise on LMArena; image and video models on LMArena’s image and video arenas.

Leaderboards

Scores from LMArena, licensed CC BY 4.0. Boards list models under their own names, so a close match is shown with the name it was scored under. Credits

Where to run it

6 providers sell MiMo-V2-Pro through an API. Prices are per million tokens, cheapest first.

API providers

ProviderInputOutputContext
Xiaomi Token Plan (China)Freemimo-v2-proFreeFree1.05M
Xiaomi Token Plan (Europe)Freemimo-v2-proFreeFree1.05M
Xiaomi Token Plan (Singapore)Freemimo-v2-proFreeFree1.05M
XiaomiOfficialCheapest paidmimo-v2-pro$0.43$0.871.05M
Abacusmimo-v2-pro$1.00$3.001.05M
ZenMuxxiaomi/mimo-v2-pro$1.00$3.001M

From models.dev and Hugging Face, checked daily. Resellers’ listings can lag behind their price pages, so confirm with the provider before you commit.

Face off

Current text models from other labs at a similar output price.

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