Xiaomi: MiMo-V2-Omni

Public pricingIntelligence 79/100Large memoryविज़नगहरी सोचटूल उपयोग

Xiaomi: MiMo-V2-Omni एक ऑडियो मॉडल है, जिसे agent workflows और tool use के लिए बनाया गया है। यह multimodal input handling، विश्वसनीय tool use और agent behavior, 262K tokens का context और संतुलित लागत profile जोड़कर audio understanding and multimodal input में भरोसेमंद काम करता है। यह तब व्यावहारिक विकल्प है जब गुणवत्ता, गति और लागत महत्वपूर्ण हो,

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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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.

Alternatives

Similar models to compare.

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.

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