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Xiaomi MiMo (Budget-Friendly)

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% — 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.
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 for details.

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Getting an API Key

  1. Go to 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

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Models

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Reasoning modes

How this model reasons is set in the model card beside the chat input — hover the model switch to preview the card, click to pin it open. The top chip row, labelled Thinking, is the control: pick a chip and it applies from your next message. Two separate ideas combine here:

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Thinking — whether the model reasons

  • Off — the model answers immediately. Fastest and cheapest; ideal for simple, direct tasks.
  • On (the chip reads Normal) — 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.

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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.

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The chip row

The active chip is tinted; the rest sit quiet. Each model shows only the chips it genuinely supports — a model that always reasons has no Off, a model with a single mode shows that one chip inert, and a model that can’t reason at all replaces the row with “Reasoning is not supported by this model.” Wolffish remembers your choice per model. (Before v1.0.236 this was a colour-coded brain button on the composer; it moved into the model card, beside the Single/Workflow row, so every model knob sits in one panel.) On MiMo: All MiMo chat models are a simple On / Off toggle — no effort tiers.

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Cost Comparison

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

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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
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.