MiniMax
MiniMax
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MiniMax M2-her

text->text

MiniMax's flagship hybrid lightning-attention model. 1M-token context with strong Chinese coverage and competitive frontier pricing.

MiniMax M2-her is a frontier AI model from MiniMax. It costs $0.300 per million input tokens and $1.200 per million output tokens (blended $0.570/M), with a 65,536-token context window.

Profile inherited from upstream MiniMax-Text-01 (M2 generation) ↗ — this is a hosted variant of the same open-weights model.

INPUT
$0.300/M
per million input tokens
OUTPUT
$1.200/M
per million output tokens
BLENDED 70/30
$0.570/M
unchanged since 3 May
CONTEXT
65,536
tokens
What it is good at
  • 1M context
  • Lightning attention (linear-time)
  • Chinese-tuned
  • Competitive frontier quality
Typical use cases
  • Long Chinese document RAG
  • Cheap long-context inference
  • Multilingual chat

Benchmarks

vs. best public score
Scores inherited from MiniMax-Text-01 (M2 generation) — this is a hosted variant of the same open-weights model, so the underlying benchmark scores are identical.
MMLU82%
Multitask academic knowledge across 57 subjects.
MATH78%
High-school competition math problems.
Python function synthesis from docstrings.
LMArena Elo1232 Elo
Crowd-sourced head-to-head preference Elo rating.
Hand-curated from each provider's published reports and public leaderboards. Methodology varies across sources, treat as directional rather than authoritative.

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Frequently asked questions

How much does MiniMax M2-her cost?

MiniMax M2-her costs $0.300 per million input tokens and $1.200 per million output tokens, for a blended reference rate of $0.570 per million tokens.

What is MiniMax M2-her's context window?

MiniMax M2-her supports up to 65,536 tokens of context in a single request.

What is MiniMax M2-her best for?

MiniMax M2-her is well suited to 1M context, Lightning attention (linear-time) and Chinese-tuned.

Who makes MiniMax M2-her?

MiniMax M2-her is developed and served by MiniMax. It was released in Jan 2025.

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