# M3

> Production wiring for the MiniMax-M3 model — empirically verified flags, capabilities, and limits (thinking control via reasoningsplit, native vision, responseformat, ~1M input ceiling, 524K output cap, n=1, docs-vs-reality discrepancies). Use when wiring or tuning MiniMax-M3, choosing M3 vs M2.7/-highspeed, switching a service off M2.7-highspeed onto M3, getting clean output without <think, or asking what M3 supports / how big its context is. TRIGGERS - MiniMax M3, MiniMax-M3, M3 model, switch to M3, reasoningsplit, M3 context length, M3 vision, M3 options, get the most out of M3.

## Facts
- Page: https://tashan.sh/capability/skill-terrylica-m3
- tashan id: skill:terrylica/m3
- Source: https://github.com/terrylica/cc-skills
- Type: skill
- Category: ai
- tashan score: not scored (catalogued only — too little public evidence)
- Adoption: 9.0
- Upkeep: 99.0
- Freshness: 98.0
- Evidence coverage: 84% of the inputs this score can use
- Health: active
- Instruction depth: not yet graded
- License: MIT
- Official: no

## Install

```sh
cp -r m3 ~/.claude/skills/
```

## Security audit
Not scanned. We audit npm-published capabilities; this one has no npm package we can resolve, or has not reached the queue. This is not a clean bill of health.

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Measured 2026-08-14 by tashan (https://tashan.sh) from public evidence. Scorer s5.
