Claude Fable 5$22.000/MClaude Opus 4.8$11.000/MClaude Opus 4.7$11.000/MClaude Opus 4.6$11.000/MClaude Opus 4.5$33.000/MClaude Sonnet 3.7$6.600/MClaude Opus 3$33.000/MClaude 2.1$12.800/MClaude 2$12.800/MGPT-5.5$12.500/MGPT-5.2$5.425/MGPT-5.2-Codex$5.425/MGPT-5$3.875/MGPT-4.5$97.500/MGPT-4 Turbo Preview$16.000/MGPT-4$39.000/MGPT-4-32k$78.000/Mo3$19.000/Mo3-mini$2.090/Mo4-mini$2.090/Mo1$28.500/Mo1-mini$5.700/Mo1-preview$28.500/MGemini 3.5 Pro$5.000/MGemini 3.1 Pro$5.000/MGemini 3 Pro$5.000/MGemini 2.5 Pro$3.875/MGemini 1.5 Pro$2.375/MGemini 1.0 Ultra$12.000/MGemini 1.0 Pro$0.800/MClaude Fable 5$22.000/MClaude Opus 4.8$11.000/MClaude Opus 4.7$11.000/MClaude Opus 4.6$11.000/MClaude Opus 4.5$33.000/MClaude Sonnet 3.7$6.600/MClaude Opus 3$33.000/MClaude 2.1$12.800/MClaude 2$12.800/MGPT-5.5$12.500/MGPT-5.2$5.425/MGPT-5.2-Codex$5.425/MGPT-5$3.875/MGPT-4.5$97.500/MGPT-4 Turbo Preview$16.000/MGPT-4$39.000/MGPT-4-32k$78.000/Mo3$19.000/Mo3-mini$2.090/Mo4-mini$2.090/Mo1$28.500/Mo1-mini$5.700/Mo1-preview$28.500/MGemini 3.5 Pro$5.000/MGemini 3.1 Pro$5.000/MGemini 3 Pro$5.000/MGemini 2.5 Pro$3.875/MGemini 1.5 Pro$2.375/MGemini 1.0 Ultra$12.000/MGemini 1.0 Pro$0.800/M
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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 66K-token context window.

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

Released Jan 2025Modalities textOfficial model page ↗Pricing source ↗Compare with another model →Estimate monthly cost →
INPUT
$0.300/M
per million input tokens
OUTPUT
$1.200/M
per million output tokens
BLENDED 70/30
$0.570/M
default reference rate · how it's calculated →
CONTEXT
66K
65,536 tokens
What it's 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.
HumanEval80%
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.
More from MiniMax
See all 5 →
MiniMax-Text-01
Frontier · 1M ctx
in $0.700/Mout $2.800/M
ABAB 6.5s
Balanced · 8K ctx
in $1.000/Mout $5.000/M
ABAB 6.5t
Turbo · 8K ctx
in $0.450/Mout $0.450/M
ABAB 5.5s
Efficient · 16K ctx
in $0.150/Mout $0.750/M
ABAB 5.5c
Compact · 16K ctx
in $0.050/Mout $0.050/M
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 66K tokens of context (65,536 tokens).

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.