Xiaomi: MiMo-V2-Pro

Public pricingIntelligence 79/100Huge memory심층 추론도구 활용

Xiaomi: MiMo-V2-Pro은 에이전트 워크플로와 도구 활용에 맞춘 텍스트 모델입니다. 안정적인 도구 사용과 에이전트 동작、매우 긴 컨텍스트 창, 1M+ tokens의 컨텍스트, 균형형 비용 특성을 결합해 agent workflows, tool use, and orchestration에서 안정적인 작업을 돕습니다. 특히 정확도, 문맥, 제어가 중요한 경우에 잘 맞으며, 안정적인 출력, 유연한 배포, 확장성을 중시하는 팀에 실용적입니다. 안정적인 응답, 넓은 문맥 처리, 그리고 시제품부터 운영까지 이어지는 유연성이 필요할 때 유용합니다. 안정적인 응답, 넓은 문맥 처리, 그리고 시제품부터 운영까지 이어지는 유연성이 필요할 때 유용합니다.

Input

$1.00/1M

Output

$3.00/1M

Cached

$0.20/1M

Batch

$0.50/1M

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What would MiMo-V2-Pro cost you?

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1,00010,00050,000250,0001M10M

Technical specifications

MiMo-V2-Pro at a glance.

Memory

1,048,576

tokens

Max reply

131,072

tokens

Memory tier

Huge

multiple books or whole repositories

Tokenizer

—

Released

Mar 2026

Training cutoff

Dec 2025

Availability

Public pricing

Status

active

What it can do

Capabilities & limits.

  • Understands images
  • Deep step-by-step thinking
  • Uses tools / calls functions
  • Strict JSON output
  • Streams replies
  • Fine-tunable on your data

When to pick MiMo-V2-Pro

  • Multi-step reasoning, research agents, or hard math.
  • Agentic workflows that call tools or APIs.
  • Long documents, full codebases, or extensive chat histories.

When to look elsewhere

  • Your workload involves images — pick a vision-capable model instead.

Alternatives

Similar models to compare.

FAQ

MiMo-V2-Pro — the questions we see most.

Pricing, capabilities, alternatives — generated from the same data that powers the calculator above.

Get instant answers from our AI agent

At a typical workload of 50,000 conversations a month with 1,500-token prompts and 800-token replies, MiMo-V2-Pro costs roughly $195 per month. Input is $1.00 /1M tokens and output is $3.00 /1M tokens.
MiMo-V2-Pro has a 1,048,576-token context window (huge memory — multiple books or whole repositories). That means you can fit about 196,608 words of input and history in a single call.
Beyond text generation, MiMo-V2-Pro supports deep step-by-step reasoning, calling functions / tools, strict JSON output. It streams replies by default.
MiMo-V2-Pro was released in March 2026, with training data cut off around December 2025.
Models in a similar class include MiMo-V2-Omni, MiMo-V2-Flash, Claude Haiku 4.5. The "Similar models" section below this FAQ links into each.

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