Xiaomi: MiMo-V2-Pro

Public pricingIntelligence 79/100Huge memory심측 좔둠도ꡬ ν™œμš©

Xiaomi: MiMo-V2-Pro은 μ—μ΄μ „νŠΈ μ›Œν¬ν”Œλ‘œμ™€ 도ꡬ ν™œμš©μ— 맞좘 ν…μŠ€νŠΈ λͺ¨λΈμž…λ‹ˆλ‹€. μ•ˆμ •μ μΈ 도ꡬ μ‚¬μš©κ³Ό μ—μ΄μ „νŠΈ λ™μž‘γ€λ§€μš° κΈ΄ μ»¨ν…μŠ€νŠΈ μ°½, 1M+ tokens의 μ»¨ν…μŠ€νŠΈ, κ· ν˜•ν˜• λΉ„μš© νŠΉμ„±μ„ κ²°ν•©ν•΄ agent workflows, tool use, and orchestrationμ—μ„œ μ•ˆμ •μ μΈ μž‘μ—…μ„ λ•μŠ΅λ‹ˆλ‹€. 특히 정확도, λ¬Έλ§₯, μ œμ–΄κ°€ μ€‘μš”ν•œ κ²½μš°μ— 잘 맞으며, μ•ˆμ •μ μΈ 좜λ ₯, μœ μ—°ν•œ 배포, ν™•μž₯성을 μ€‘μ‹œν•˜λŠ” νŒ€μ— μ‹€μš©μ μž…λ‹ˆλ‹€. μ•ˆμ •μ μΈ 응닡, 넓은 λ¬Έλ§₯ 처리, 그리고 μ‹œμ œν’ˆλΆ€ν„° μš΄μ˜κΉŒμ§€ μ΄μ–΄μ§€λŠ” μœ μ—°μ„±μ΄ ν•„μš”ν•  λ•Œ μœ μš©ν•©λ‹ˆλ‹€. μ•ˆμ •μ μΈ 응닡, 넓은 λ¬Έλ§₯ 처리, 그리고 μ‹œμ œν’ˆλΆ€ν„° μš΄μ˜κΉŒμ§€ μ΄μ–΄μ§€λŠ” μœ μ—°μ„±μ΄ ν•„μš”ν•  λ•Œ μœ μš©ν•©λ‹ˆλ‹€.

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

β€”

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 β€” pick a vision-capable model instead.

Alternatives

Similar models to compare.

FAQ

MiMo-V2-Pro β€” the questions we see most.

Pricing, capabilities, alternatives β€” 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 β€” 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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