Xiaomi MiMo (Budget-Friendly)
POST https://api.xiaomimimo.com/v1/chat/completions
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. Getting an API Key
- Go to platform.xiaomimimo.com
- Sign up or log in
- Navigate to API Keys and create a new key
- 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.
| 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 |
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× |
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.
