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MiMo-V2-Flash Benchmarks and Agent Capabilities

A practical reading layer for MiMo-V2-Flash public benchmark tables across reasoning, code, and agent tasks.

Published Mar 20, 2026Updated Mar 20, 2026MiMo V2 Pro Resource DeskOpen resource map

The public MiMo-V2-Flash benchmark tables matter because they explain how Xiaomi wants the model family to be read.

The three lanes to watch

The public story is not just one benchmark chart. It is three connected lanes:

1. Reasoning

The model is presented as reasoning-forward, with strong public numbers on tasks such as MMLU-Pro, GPQA-Diamond, and AIME 2025.

2. Code and agents

MiMo-V2-Flash is also publicly positioned around code and agent workflows, with benchmark emphasis on LiveCodeBench, SWE-Bench Verified, and terminal-style tasks.

3. Long context

The public materials also stress long-context capability, which helps explain why the model line is framed as more than just a benchmark-chasing coding release.

How to use this page

Use this article as the fast summary, then open the original source table when you need exact comparison context.

For the full table-driven view on this portal, go to Benchmarks.

For the model overview first, read What Is MiMo-V2-Flash?.