Xiaomi: MiMo-V2-Pro

Public pricingIntelligence 79/100Huge memory深度思考工具调用

Xiaomi: MiMo-V2-Pro 是一款文本模型，适合智能体工作流与工具调用。它结合了可靠的工具调用与智能体表现、超长上下文窗口、1M+ tokens上下文和均衡成本定位，可在agent workflows, tool use, and orchestration中提供可靠表现。它适合重视准确性、上下文与控制的团队，能带来稳定输出、灵活部署与扩展空间。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。

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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