Released 58 days after MiniMax M2 Β· All MiniMax releases
MiniMax M2.1 is a 229-billion-parameter Mixture-of-Experts model released in December 2025 under a modified MIT license. It was tuned for robustness in coding, tool use, instruction following, and long-horizon planning across agentic workflows. The model shows strong multilingual programming, scoring 72.5 on SWE-bench Multilingual and 74.0 on SWE-bench Verified, with 88.0 on MMLU-Pro and 83.0 on GPQA-D. It reaches an average VIBE score of 88.6 (with 91.5 on VIBE-Web and 89.7 on VIBE-Android), reflecting robust full-stack and native mobile development capability. The sparse architecture supports faster inference and responsive agentic loops, and MiniMax positions M2.1 as matching or approaching leading proprietary coding models on real-world software engineering tasks.
MiniMax M2.1 runs on 1 route through the qynio gateway. Compare residency, zero retention, and training posture at a glance β full data-handling detail per route below.
| Provider | Region | Zero data retention | Training | Input | Output |
|---|---|---|---|---|---|
| US | Zero data retention | No | $0.30 | $1.20 |
MiniMax M2.1 runs on a single route through the qynio gateway today, so its availability is that provider's availability.
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. .
Measured over the last 30 days from each provider's official status feed via StatusGator. Refreshed hourly. See uptime for every provider qynio monitors.
Each route hosting MiniMax M2.1 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 β no action required. No training on customer data. US; wallets; deposit available.
Independent benchmark scores β composite indices for reasoning, coding, and math, plus individual eval scores where available.
Call MiniMax M2.1 through the qynio gateway with one API key. Let your coding agent set it up, or call it directly β 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: "novita/minimax-m2.1",messages: [{ role: "user", content: "Hello" }],});console.log(completion.choices[0].message.content);
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