Released 34 days after MiniMax M2.5 · 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.
MiniMax M2.7 runs on 6 different routes through the qynio gateway. Compare residency, zero retention, and training posture at a glance — full data-handling detail per route below.
MiniMax M2.7 runs on 3 independently monitored routes through the qynio gateway. A direct integration leaves you on one of them, the gateway serves whichever is healthy.
Measured over the last 30 days from each provider's official status feed via StatusGator. Refreshed hourly. 3 further routes for this model are not on the board yet and are not counted above. See uptime for every provider qynio monitors.
Each route hosting MiniMax M2.7 has its own privacy posture, residency, and no-KYC terms. Postures are maintained by qynio with a last-verification timestamp.
Zero data retention is on by default on Pay-as-you-go — no action required. No training on customer data. US; unknown; deposit available.
Zero data retention is on by default on Pay-as-you-go — no action required. No training on customer data. GLOBAL; wallets; deposit available.
Zero data retention is on by default on Pay-as-you-go — no action required. No training on customer data. US; wallets; deposit available.
Zero data retention is on by default on Pay-as-you-go — no action required. No training on customer data. EU; deposit available.
Zero data retention is not on by default — abuse monitoring, 30-day retention. No training on customer data. US; wallets; deposit available.
Zero data retention is on by default on Pay-as-you-go — no action required. No training on customer data. US; wallets; deposit available.
Independent benchmark scores — composite indices for reasoning, coding, and math, plus individual eval scores where available.
Call MiniMax M2.7 through the qynio gateway with one API key. Let your coding agent set it up, or call it directly — qynio is drop-in compatible with the OpenAI, Anthropic, and Google AI SDKs.
Copy this and paste it into a coding agent like Claude Code, Cursor or Codex and it'll wire up qynio for you.
import OpenAI from "openai";const client = new OpenAI({apiKey: process.env.QYN_API_KEY,baseURL: "https://api.qyn.io/v3/compat",});const completion = await client.chat.completions.create({model: "deepinfra/MiniMaxAI/MiniMax-M2.7",messages: [{ role: "user", content: "Hello" }],});console.log(completion.choices[0].message.content);
Side-by-side on privacy, crypto rails, pricing, and benchmarks.
