> ## Documentation Index
> Fetch the complete documentation index at: https://docs.wolffi.sh/llms.txt
> Use this file to discover all available pages before exploring further.

# Xiaomi MiMo

> Set up Xiaomi MiMo — affordable frontier models with strong multilingual support

# Xiaomi MiMo (Budget-Friendly)

```
POST https://api.xiaomimimo.com/v1/chat/completions
```

Uses SSE streaming with OpenAI-compatible tool-calling format. Supports vision (base64 images) and PDF document input.

**MiMo is a budget-friendly cloud provider** offering competitive models at a fraction of the cost of Anthropic and OpenAI. Following [Xiaomi's permanent price cut of up to 99%](https://www.studioglobal.ai/ms/discover/answers/what-prompted-xiaomi-to-cut-its-mimo-v2-5-6a179fe3f9dbfce068be8b7e) — matching DeepSeek V4 Pro rates — MiMo V2.5 Pro delivers strong reasoning and multilingual support at dramatically lower cost than frontier models.

Best for: Cost-sensitive agentic workflows, multilingual tasks, multi-step tool chains, and high-volume automations where budget matters.

<Note>
  MiMo handles complex agentic tasks well — including long multi-step tool chains, research workflows, code generation, and autonomous automations. We recommend starting with MiMo and upgrading to **Anthropic** or **OpenAI** only if execution isn't reliable enough for a specific workflow, or if you need **computer-use** (screen interaction), which only Anthropic supports. See [Choosing a Provider](/configuration/providers#choosing-a-provider) for details.
</Note>

## Getting an API Key

1. Go to [platform.xiaomimimo.com](https://platform.xiaomimimo.com)
2. Sign up or log in
3. Navigate to **API Keys** and create a new key
4. Paste it into Wolffish → Settings → Models → Xiaomi Mimo

## Models

| Model             | Context | Modes   | Input / Output (per MTok) | Cached | Notes                                                    |
| ----------------- | ------- | ------- | ------------------------- | ------ | -------------------------------------------------------- |
| **mimo-v2.5-pro** | 1M      | Off, On | $0.20 / $2.00             | Free   | Best MiMo model. Strong reasoning and multilingual.      |
| mimo-v2.5         | 1M      | Off, On | $0.08 / $0.80             | Free   | Good balance of quality and cost.                        |
| mimo-v2-pro       | 256K    | Off, On | $0.20 / $2.00             | Free   | Previous generation pro model.                           |
| mimo-v2-omni      | 256K    | Off, On | $0.08 / $0.80             | Free   | Multimodal. Vision and document input.                   |
| mimo-v2-flash     | 256K    | Off, On | $0.01 / $0.30             | —      | Ultra-cheap. Best for high-volume, low-complexity tasks. |

## Reasoning modes

The **brain icon** next to the message box controls how this model reasons. Click it to cycle through the modes the selected model supports. Two separate ideas combine here:

### Thinking — *whether* the model reasons

* **Off** — the model answers immediately. Fastest and cheapest; ideal for simple, direct tasks.
* **On** — the model first works through the problem in a dedicated reasoning pass before replying. Slower and uses more tokens, but markedly more accurate on multi-step, logical, or ambiguous tasks.

### Effort — *how hard* it thinks

Only effort-capable models expose this; it applies once thinking is on.

* **High** — standard reasoning depth. The right default for most agentic work.
* **Max** — the model reasons longer and deeper for the hardest problems. More tokens and latency in exchange for higher quality on complex work.

### Button states

| State | Colour | Meaning                         |
| ----- | ------ | ------------------------------- |
| Off   | gray   | Thinking off — direct answer    |
| On    | blue   | Thinking on — no effort control |
| High  | purple | Thinking on, standard effort    |
| Max   | orange | Thinking on, maximum effort     |

Each model shows only the states it genuinely supports. If a model always reasons (can't be turned off) or has no effort control, the button reflects that and locks where there's nothing to change. Wolffish remembers your choice per model.

**On MiMo:** All MiMo chat models are a simple On / Off toggle — no effort tiers.

## Cost Comparison

MiMo's pricing positions it alongside DeepSeek as a **budget tier** provider, dramatically cheaper than Anthropic and OpenAI:

| Provider      | Flagship Model  | Input / Output (per MTok) | Relative Cost |
| ------------- | --------------- | ------------------------- | ------------- |
| **MiMo**      | mimo-v2.5-pro   | $0.20 / $2.00             | 1× (baseline) |
| **DeepSeek**  | deepseek-v4-pro | $0.435 / $0.87            | \~1–2×        |
| **Kimi**      | kimi-k2.6       | $0.95 / $4.00             | \~2–5×        |
| **Anthropic** | claude-opus-4.7 | $5.00 / $25.00            | 12–25×        |
| **OpenAI**    | gpt-5.5         | $5.00 / $30.00            | 15–25×        |

MiMo and DeepSeek are **10–25× cheaper** than Anthropic and OpenAI and handle complex agentic workloads well. Start here — upgrade only if a specific workflow isn't executing reliably, or if you need computer-use (Anthropic only).

## When to Use MiMo

**Good fit — most workflows:**

* Multi-step tool chains (file search → read → edit → commit)
* Research → summarize → write workflows
* Scheduled automations and daily task processing
* Multilingual tasks — MiMo has strong Chinese, English, and multilingual support
* Email drafting, report generation, data extraction
* Conversational agents and Q\&A
* High-volume workloads where cost per token matters

**Consider premium tier if:**

* Computer-use / screen interaction is needed (requires Anthropic)
* You've tried a workflow on MiMo and execution isn't reliable enough — upgrade to Anthropic or OpenAI for that specific task

<Tip>
  Start with MiMo or DeepSeek as your Brain model and experiment with your actual workflows. Most users find they rarely need the premium tier. If a specific task isn't executing reliably, switch your Brain to Anthropic or OpenAI — there's no automatic fallback, so the swap is yours to make.
</Tip>
