Claude Fable 5$22.000/MClaude Opus 5$11.000/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-5.6 Sol$12.500/MGPT-5.6 Terra$5.000/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/MClaude Fable 5$22.000/MClaude Opus 5$11.000/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-5.6 Sol$12.500/MGPT-5.6 Terra$5.000/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/M
MiniMax
MiniMax
FrontierLIVE INDEX

MiniMax M2.7 (free)

text->text

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

MiniMax M2.7 (free) is a frontier AI model from MiniMax. It costs $0.000 per million input tokens and $0.000 per million output tokens (blended $0.000/M), with a 196,608-token context window.

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

INPUT
$0.000/M
per million input tokens
OUTPUT
$0.000/M
per million output tokens
BLENDED 70/30
$0.000/M
unchanged since 3 May
CONTEXT
196,608
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.

More from MiniMax

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Frequently asked questions

How much does MiniMax M2.7 (free) cost?

MiniMax M2.7 (free) costs $0.000 per million input tokens and $0.000 per million output tokens, for a blended reference rate of $0.000 per million tokens.

What is MiniMax M2.7 (free)'s context window?

MiniMax M2.7 (free) supports up to 196,608 tokens of context in a single request.

What is MiniMax M2.7 (free) best for?

MiniMax M2.7 (free) is well suited to 1M context, Lightning attention (linear-time) and Chinese-tuned.

Who makes MiniMax M2.7 (free)?

MiniMax M2.7 (free) is developed and served by MiniMax. It was released in Jan 2025.

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