Xiaomi: MiMo-V2-Omni

Public pricingIntelligence 79/100Large memory視覚深い思考ツール利用

Xiaomi: MiMo-V2-Omni は 音声 モデルで、エージェント業務とツール利用 に向いています。マルチモーダル入力処理、安定したツール利用とエージェント動作、262K tokensのコンテキスト、バランス型コストの特性を組み合わせ、audio understanding and multimodal input で安定した動作を支えます。品質・速度・コスト が重要な場面に合っており、安定した出力、柔軟な導入、拡張性を求めるチームに実用的です。 安定した応答、長い文脈処理、そして試作から本番まで広く使える柔軟さが必要な場面で役立ちます。 安定した応答、長い文脈処理、そして試作から本番まで広く使える柔軟さが必要な場面で役立ちます。 安定した応答、長い文脈処理、そして試作から本番まで広く使える柔軟さが必要な場面で役立ちます。

Input

$0.40/1M

Output

$2.00/1M

Cached

$0.08/1M

Batch

$0.20/1M

Calculate your MiMo-V2-Omni bill.

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What would MiMo-V2-Omni cost you?

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1,00010,00050,000250,0001M10M

Technical specifications

MiMo-V2-Omni at a glance.

Memory

262,144

tokens

Max reply

65,536

tokens

Memory tier

Large

an entire book or large codebase

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-Omni

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

When to look elsewhere

  • Very latency-sensitive, real-time apps where every millisecond counts.

FAQ

MiMo-V2-Omni — 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-Omni costs roughly $110 per month. Input is $0.40 /1M tokens and output is $2.00 /1M tokens.
MiMo-V2-Omni has a 262,144-token context window (large memory — an entire book or large codebase). That means you can fit about 49,152 words of input and history in a single call.
Beyond text generation, MiMo-V2-Omni supports understanding images, deep step-by-step reasoning, calling functions / tools, strict JSON output. It streams replies by default.
MiMo-V2-Omni was released in March 2026, with training data cut off around December 2025.
Models in a similar class include Qwen3.5 397B A17B, Kimi K2.5, Qwen3.6 Plus. The "Similar models" section below this FAQ links into each.

Still unsure?

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