Model profile
Xiaomi

MiMo-V2-Flash (Reasoning)

MiMo-V2-Flash (Reasoning) is a budget text-first model from Xiaomi with a fast runtime profile, unknown context posture, and the clearest fit around agent workflows / reasoning.

Best for: Agent workflows / ReasoningFast latencyUnknown contextBudget pricing
Intelligence
39.2

Benchmark blend

Coding
31.8

Dev workflow signal

Context
N/A

Unknown

Input Price
$0.10

Budget tier

Decision snapshot
53

MiMo-V2-Flash (Reasoning) currently reads as a budget text-first option with unknown context and a fast runtime profile.

Overall profile
Use-case specific
Best for
Agent workflows / Reasoning
Latency tier
Fast
Price tier
Budget
Source coverage
OpenRouterArtificial Analysis

Decision Strip

Decision rail before the raw tables

Core buy-side signals stay in one pass. The rest of the page expands only after intelligence, speed, context, and price are clear.

Intelligence
39.2
39

General reasoning and benchmark headroom.

Limited
Speed
129 tok/s
84

TTFT 1.27s

Above average
Context
N/A
34

How much prompt and task state can stay in view.

Limited
Price
$0.10
86

$0.30 output / 1M

Efficient

Editorial Profile

MiMo-V2-Flash (Reasoning) in one narrative

Positioning, tradeoffs, and fit are consolidated into one read instead of repeating the same story across separate cards.

Use-case specificCoding score 32Math score 96

The MiMo-V2-Flash (Reasoning) AI model by Xiaomi.

Identity

Xiaomi text-first profile

Positioning

Agent workflows / Reasoning with unknown context and fast runtime.

Cost posture

Efficient spend profile. More comfortable for sustained prompt volume if the capability fit is right.

Strengths
  • Latency and throughput look responsive enough for interactive loops.

Tradeoffs
  • Budget-friendly input pricing is a strength, but raw capability may vary by workload.

  • Current metadata points to a text-first profile rather than a broad multimodal one.

Best fit
  • Focused chat, retrieval-augmented flows, and narrower production tasks.

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Xiaomi

MiMo-V2-Flash (Feb 2026)

Intelligence
41.5
Context
N/A
Input Price
$0.10

Benchmarks

Grouped by job-to-be-done

Only benchmark categories with actual signal are shown. Secondary values stay as simple definitions instead of nested micro-cards.

General intelligence

Broad reasoning, knowledge depth, and flagship benchmark posture.

Intelligence Index
39.2
MMLU Pro
84.3%
GPQA
84.6%
HLE
21.1%
Coding

Software implementation, debugging quality, and coding benchmark signal.

Coding Index
31.8
LiveCodeBench
0.868
SciCode
39.4%
Math

Formal reasoning, structured problem solving, and competition-style math.

Math Index
96.3
AIME 2025
96.3%
Agent / tool use

Long-horizon execution quality and interactive benchmark evidence.

IFBench
64.2%
TAU2
95.0%
TerminalBench Hard
28.0%
LCR
63.0%

Specs & Pricing

Technical snapshot and cost posture

Specs stay neutral, pricing gets emphasis through values rather than extra containers. Raw provider internals remain in metadata at the end.

Technical snapshot
Context Window
N/A
Vision
Text-first
Price architecture
Input
per 1M input tokens
$0.10
Output
per 1M output tokens
$0.30
Blended
AA 3:1 mix
$0.15

This model is relatively efficient on price. It is the easier fit when sustained prompt volume matters.

Metadata

Raw source tables at the end

Verification details remain available, but the page no longer forces them ahead of the editorial read.