MiniMax
MiniMax
FrontierLIVE PRICING

MiniMax M2.5

text->text

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

MiniMax M2.5 is a frontier AI model from MiniMax. It costs $0.270 per million input tokens and $1.080 per million output tokens (blended $0.513/M), with a 204,800-token context window.

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

INPUT
$0.270/M
per million input tokens
OUTPUT
$1.080/M
per million output tokens
BLENDED 70/30
$0.513/M
unchanged since 3 May
CONTEXT
204,800
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 M2.5 cost?

MiniMax M2.5 costs $0.270 per million input tokens and $1.080 per million output tokens, for a blended reference rate of $0.513 per million tokens.

What is MiniMax M2.5's context window?

MiniMax M2.5 supports up to 204,800 tokens of context in a single request.

What is MiniMax M2.5 best for?

MiniMax M2.5 is well suited to 1M context, Lightning attention (linear-time) and Chinese-tuned.

Who makes MiniMax M2.5?

MiniMax M2.5 is developed and served by MiniMax. It was released in Jan 2025.

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