MiniMax M2.7

Model Self-Improvement, Driving Productivity Innovation Through Technological Breakthroughs

Build a Complex Agent Harness Independently to Accomplish Highly Complex Productivity Tasks.

Model Highlights

M2.7 demonstrates excellent performance in real-world software engineering, including end-to-end project delivery, log analysis for bug hunting, code security, and machine learning tasks.

In professional office domains, we enhanced the model's domain expertise and task delivery capabilities across fields. On GDPval-AA, M2.7 achieves an ELO score of 1495, the highest among open-source models. M2.7 shows significant improvement in complex editing capabilities for Office Suite (Excel/PPT/Word), better handling multi-turn modifications and high-fidelity edits.

M2.7 possesses the ability to interact with complex environments. On 40 complex skills (>2000 Token) cases, M2.7 maintains a 97% skill adherence rate. In OpenClaw usage, M2.7 shows significant improvement over M2.5, approaching the latest Sonnet 4.6 on MMClaw evaluation.

M2.7 demonstrates excellent identity preservation and emotional intelligence. Beyond productivity use cases, it also opens space for innovation in interactive entertainment scenarios.

Benchmark

On the SWE-Pro benchmark, M2.7 scores 56.22%, nearly matching Opus's best level. This capability extends to end-to-end full project delivery (VIBE-Pro 55.6%) and deep understanding of complex engineering systems (Terminal Bench 2 at 57.0%).

M2.7 Showcases

See What M2.7 Can Do

All examples below were generated by MiniMax M2.7 in a single shot. Click cards to enlarge.

Music Library Website

Music Library Website

Wildlife Protection Charity Website

Wildlife Protection Charity Website

Fashion Shopping Website

Fashion Shopping Website

Natural History Museum Official Website

Natural History Museum Official Website

Photographer Personal Homepage Website

Photographer Personal Homepage Website

Rebate of 10% for the inviterDiscount of 10% for invitees

Invite friends, earn benefits

Subscribe to a Token Plan got a 10% discount, while the inviter got a 10% rebate!

DEVELOPER TOOLS

Empowering Developer Choice

Outstanding Tool Scaffolding Generalization

Claude CodeRoo CodeKilo CodeClineCodex CLIOpenCodeDroidTRAEGrok CLICursor
Claude CodeRoo CodeKilo CodeClineCodex CLIOpenCodeDroidTRAEGrok CLICursor

01 / Access Method

Quick API Integration

Two API versions: M2.7 and M2.7-highspeed with identical results but faster speed. Full automatic Cache support, no configuration needed.

PYTHONCURL
import requests
url = "https://api.minimax.io/v1/text/chatcompletion_v2"
payload = {
"model": "MiniMax-M2.7",
"messages": [
{"role": "user", "content": "Hello"}
]
}
headers = {"Authorization": "Bearer <token>"}
response = requests.post(url, json=payload, headers=headers)
print(response.text)
v2.1 API Connected
main.py

02 / Access Method

For AI Coding Tools

01 /

Subscribe to the Token Plan

The price remains unchanged, while performance has significantly improved. Token Plan users now automatically benefit from higher inference speeds.

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02 /

Open Platform Integration

Supports standard M2.7 and high TPS version of M2.7-highspeed.

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03 /

MiniMax Agent Integration

The general Agent platform based on M2.7 is now fully open. Experience the best programming assistance and logical reasoning capabilities without any development required.

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