When was MiniMax M2.7 released?

MiniMax released MiniMax M2.7 on 18 Mar 2026. It is available through the Opper gateway.

Does MiniMax M2.7 support zero data retention?

Yes. MiniMax M2.7 is available with zero data retention on Novita, SCX, Tencent Cloud through the Opper gateway.

Where is MiniMax M2.7 hosted?

MiniMax M2.7 runs on US hosting routes through the Opper gateway.

Is MiniMax M2.7 trained on prompts and outputs?

No. Every hosting route for MiniMax M2.7 is configured so customer prompts and outputs are not used to train models by default.

Is a GDPR DPA available for MiniMax M2.7?

Yes. A GDPR Data Processing Agreement is available on at least one route serving MiniMax M2.7. Contact hello@opper.ai to receive it.

MiniMax M2.7

by MiniMax

Announcement · All MiniMax releases

MiniMax M2.7 is a self-evolving 229-billion-parameter language model released March 2026, built for autonomous real-world productivity and continuous improvement. It actively participates in its own development, running over 100 autonomous rounds of scaffold optimization and helping build its own research-agent harness. M2.7 scores 56.22% on SWE-Pro (matching GPT-5.3-Codex), 55.6% on VIBE-Pro, 57.0% on Terminal Bench 2, and 1495 ELO on GDPval-AA, the highest among open-weight models. It also reaches 76.5 on SWE Multilingual and 52.7 on Multi-SWE-Bench, and is strong at production debugging, log analysis, and full project delivery. M2.7 introduces Agent Teams for native multi-agent collaboration with stable role identity and autonomous decision-making, maintaining a 97% skill adherence rate across more than 40 complex skills. It supports multi-turn editing in Excel, PowerPoint, and Word, reaching 62.7% on the MM Claw office benchmark. A standard and a highspeed variant are available.

Call MiniMax M2.7 on Opper with the OpenAI SDK. Sign up without a credit card. Get started

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Key info

Input

Output

Features

Context window

205K

Max output

131K

Input price

$0.30 /1M$0.06 cache read

Output price

$1.20 /1M

Released

18 Mar 2026

Web search

Via Opper

US residency available
Zero data retention on pay-as-you-go
No training by default
GDPR DPA available

Available routes

MiniMax M2.7 runs on 3 different routes through the Opper gateway. Compare residency, zero data retention and training posture at a glance, with full data-handling detail per route below.

Provider	Region	Training	Input	Output	Cache read
Novita	US	No	$0.30	$1.20	$0.06
SCX	Multi	No	$0.63	$2.67	Input price
Tencent Cloud	Multi	No	$0.30	$1.20	$0.06

Live routes and prices as JSON: api.opper.ai/v3/models?q=minimax-m2.7

Uptime and availability

One of MiniMax M2.7's 3 routes is on the monitoring board, so the figure below is that provider's availability rather than the model's.

100%route uptime, last 30 days

Its other routes aren't measured here yet.

Name a second model in the same request and the gateway tries it on retriable errors, so a busy hour never has to reach your users. Set up a fallback chain.

Measured over the last 30 days from each provider's official status feed via StatusGator. Refreshed hourly. 2 further routes are not on the board yet. See uptime for every provider Opper monitors.

Data handling per route

Each route hosting MiniMax M2.7 has its own privacy posture, residency, and GDPR terms. Postures are maintained by Opper with a last-verification timestamp.

Novita — United States🇺🇸

Zero data retention: nothing is logged, held for abuse monitoring or used for training. No training on customer data. US; SCCs; DPA available.

Zero data retention: Yes. Nothing is logged, held for abuse monitoring or used for training.
Training: No training on customer data.
Logging: None
Abuse monitoring: On by default, keeps nothing
GDPR DPA: DPA available
Transfer mechanism: SCCs

SCX — Multi-region

Zero data retention: nothing is logged, held for abuse monitoring or used for training. No training on customer data. GLOBAL; unknown; DPA available.

Zero data retention: Yes. Nothing is logged, held for abuse monitoring or used for training.
Training: No training on customer data.
Logging: None
Abuse monitoring: Optional (off by default), keeps nothing
GDPR DPA: DPA available
Transfer mechanism: unknown

Tencent Cloud — Multi-region

Zero data retention: nothing is logged, held for abuse monitoring or used for training. No training on customer data. GLOBAL; SCCs; DPA available.

Zero data retention: Yes. Nothing is logged, held for abuse monitoring or used for training.
Training: No training on customer data.
Logging: None
Abuse monitoring: On by default, keeps nothing
Caching: Content cached for replay
GDPR DPA: DPA available
Transfer mechanism: SCCs

Best for

Where MiniMax M2.7 ranks among the models on Opper with a score for each use case.

Agents2.2

Terminal-Bench 4.0 and AutomationBenchSee the Agents ranking →

Benchmarks

Independent benchmark scores: the Intelligence Index and the individual evaluations behind it, grouped by skill.

Global rank#124 of 505 LLMs

TierEfficient

Output speed40 tok/s

Intelligence Index (previous version)22.8

Coding

Terminal-Bench 4.0

SciCode

50%

Agentic & knowledge work

AutomationBench

GDPval

26%

GDP.pdf

Briefcase (Elo)719

Terminal-Bench Hard

39%

τ²-Bench Telecom

85%

Science & reasoning

Humanity's Last Exam

30%

GPQA Diamond

87%

Long-context reasoning

78%

Math & instruction following

IFBench

76%

See full leaderboard →Benchmarks via Artificial Analysis · View on AA

Get started

Call MiniMax M2.7 through the Opper gateway with one API key. Opper is drop-in compatible with the OpenAI, Anthropic and Google AI SDKs.

MiniMax M2.7 is a premium model on Opper. Sign up needs no credit card: you get an API key straight away and the free models work in the playground and the API. Add a card to use premium models, pay-as-you-go with no minimum.

Set it up with your agent

Copy this and paste it into a coding agent like Claude Code, Cursor or Codex and it'll wire up Opper for you.

Or call it directly

1import OpenAI from "openai";
2
3const client = new OpenAI({
4  apiKey: process.env.OPPER_API_KEY,
5  baseURL: "https://api.opper.ai/v3/compat",
6});
7
8const completion = await client.chat.completions.create({
9  model: "minimax-m2.7",
10  messages: [{ role: "user", content: "Hello" }],
11});
12console.log(completion.choices[0].message.content);