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MiniMax
minimax/minimax-m2-herCatalogue: Indexed in the reference catalogue; nothing on this deployment answers as this model yet.
Published by the vendor; the platform bills at the target's declared price.
MiniMax minimax/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...
Cached input reads $0.03 per 1M
MiniMax M2-her earns a request on quality for its task at its price; a short, general request would go to Nemotron 3.5 Super VL (free) instead - free per million input tokens against $0.30 here; and the hardest requests, where the quality floor rules it out, to Claude Opus 5.5 (batch). Your rules decide the floor; the trace shows the comparison for every request.
Lower input price and an intelligence index within 5 points (this model has no published index).
Nothing on this deployment answers as this model yet. Connect your own provider under Model providers, or add a target to your catalogue - the router picks it up without retraining.
# targets.yaml - declare a target that runs MiniMax M2-her
targets:
- id: minimax-m2-her
kind: llm
name: MiniMax M2-her
metadata:
model: minimax/minimax-m2-her # links the target to this catalogue entry
capabilities:
domains: [general]
supports_tools: false
context_window: 65536
cost:
usd_per_1k_tokens: 0.000750Input list price per million tokens; MiniMax M2-her is the 4th cheapest of 9 listed.
Other models by the same vendor in the catalogue.
Photo: RDNE Stock project
A higher intelligence index, best first, with the price it comes at.
The catalogue prints input and output prices and what three typical monthly workloads cost on each.