Answers from the documentation; checking which model is on duty
Hi - I answer from the OpenSmartRoute documentation: routing, the API, plans and quotas, self-hosting. Ask away, or open a support ticket if you need a person.
Grounded in the docs - follow a source before acting on it.
MiniMax M2-her - Model - OpenSmartRoute
Modelv1.0.0
MiniMax M2-her
MiniMax M2-her is a dialogue-first large language model built for immersive roleplay, character-driven chat, and expressive multi-turn conversations.
Reference model card from the OpenRouter listing - model minimax/minimax-m2-her. Prices are per million tokens as listed; ratings and installs below are from this marketplace.
MiniMax M2-her
MiniMax M2-her is a dialogue-first large language model built for immersive roleplay, character-driven chat, and expressive multi-turn conversations. Designed to stay consistent in tone and personality, it supports rich message...
Facts
Vendor
MiniMax
Context window
65,536 tokens
Max output
2,048 tokens
Input price
$0.30 / 1M tokens
Output price
$1.20 / 1M tokens
Input
text
Output
text
Tool calling
no
Structured outputs
no
Reasoning
no
Open weights
no
Endpoint: https://openrouter.ai/api/v1 (OpenAI-compatible), model minimax/minimax-m2-her
Use it
Copy one of these into your project. Installing also returns the manifest and these snippets.
# after Install: the listing is in your workspace's routing pool - nothing else to configurecurl-s-X POST https://api.opensmartroute.ai/api/v1/route -H 'Authorization: Bearer $OSR_API_KEY' -H 'Content-Type: application/json' -d '{"text": "...", "plan": true}'# or pin it on the OpenAI-compatible endpoint: {"model": "model-minimax-minimax-m2-her", ...}
Installed into a catalogue, chosen by a router
Install MiniMax M2-her and it becomes one more candidate the router can pick - when it fits.
A listing is a routing target with a manifest: what it does, which domains it covers, what it costs and who publishes it. Once installed it sits beside your own models and tools, is scored like any other candidate for each request, and shows up in the trace when it wins. Ratings come from workspaces that installed it, one per account.
