Xiaomi: MiMo-V2-Omni

Public pricingIntelligence 79/100Large memory视觉深度思考工具调用

Xiaomi: MiMo-V2-Omni 是一款音频模型,适合智能体工作流与工具调用。它结合了多模态输入处理、可靠的工具调用与智能体表现、262K tokens上下文和均衡成本定位,可在audio understanding and multimodal input中提供可靠表现。它适合重视质量、速度与成本的团队,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

$0.40/1M

Output

$2.00/1M

Cached

$0.08/1M

Batch

$0.20/1M

Calculate your MiMo-V2-Omni bill.

Set your workload — see cost at your exact volume.

What would MiMo-V2-Omni cost you?

Adjust the workload to see your monthly bill.

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?

Compare MiMo-V2-Omni against 100+ other models.

Open the full wizard — pick a use case, set your usage, and see side-by-side monthly costs in under a minute.