MiniMax-M2.7

Creator

MiniMax

Released

2026-03-18

Intelligence

38.1

Artificial Analysis Index

Coding

52.6

Artificial Analysis Index

In $/1M

$0.30

input tokens

Out $/1M

$1.20

output tokens

Blended $/1M

$0.53

3:1 blended

Speed

0

tokens / sec

Profile

License, openness, and modality — the governance layer.

License

MIT

commercial OK

Weights

Open

downloadable

Modalities

Text

Parameters

MiniMax M2.7 features model self-improvement driving productivity innovation. It builds complex agent harnesses independently to accomplish highly complex productivity tasks. M2.7 demonstrates excellent performance in real-world software engineering including end-to-end project delivery, log analysis, code security, and ML tasks. On SWE-Pro it scores 56.22%, nearly matching Opus. It excels in professional office domains achieving the highest ELO among open-source models on GDPval-AA (1495), with significant improvement in complex editing for Office Suite. M2.7 maintains 97% skill adherence on 40 complex skills cases.

Capability profile

Category strength across 20 domains, via LLM Stats.

legal
100finance
100agents
100reasoning
100
general
100code
60tool calling
50
Via LLM Stats

Benchmark breakdown

Independent evaluation scores, normalized to 0–100.

GPQA Diamond
87
Humanity’s Last Exam
28
MMLU-Pro
SciCode
47
LiveCodeBench
MATH-500
AIME 2025
τ²-Bench (agentic)
85
Terminal-Bench Hard
39
IFBench
76
Via Artificial Analysis

Providers

Inference hosts serving this model — their own pricing and measured performance, cheapest input first.

ProviderIn $/1MOut $/1MThroughputLatencyStatus
Fireworks$0.30$1.20active
MiniMax$0.30$1.20active
Novita$0.30$1.20active
All providers

3 hosts · via LLM Stats

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