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Xiaomi: MiMo-V2.5

xiaomi/mimo-v2.5

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MiMo-V2.5 is a native omnimodal model by Xiaomi. It delivers Pro-level agentic performance at roughly half the inference cost, while surpassing MiMo-V2-Omni in multimodal perception across image and video understanding...

Modalities

TextAudioImageVideoText

In / out price

$0.14 / $0.28 per 1M

Context

1.05M

Released

Apr 22, 2026

Why use MiMo-V2.5

  • Understands images
  • Understands audio
  • Step-by-step reasoning mode
  • Tool and function calling (agent-ready)
  • Structured (JSON) outputs
  • Very long context: whole books or codebases in one prompt

Pricing

Input$0.14 / 1M tokens
Output$0.28 / 1M tokens
Cached input (read)$0.003 / 1M tokens

List prices via OpenRouter, checked daily. Real cost depends on the provider and on reasoning tokens.

How it ranks

Coding index56.8
Agentic index15.8

Source: Artificial Analysis (artificialanalysis.ai) via OpenRouter (openrouter.ai/rankings).

Cost calculator

Pick a task, set how often you run it, and compare what it costs on each model.

ModelPer runPer monthPer 1,000 runs
Xiaomi: MiMo-V2.5$0.0007$0.672$0.672

Estimates from list prices via OpenRouter; real bills vary by provider and reasoning tokens.

Will it fit? Context window simulator

Each square is about one page (500 words). Colored squares are your content; grey squares are free space in the model's context window.

Your content

  • Novel (90,000 words)

Total: about 120,000 tokens (≈ 90,226 words). Token counts are estimates.

Models

Xiaomi: MiMo-V2.5

1,050,000 tokens ≈ 1,579 pages

Fits: uses 11% of the window (room for 8× this much).

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