MiniMax M3 is an open-weight Mixture-of-Experts model with roughly 428 billion total parameters and about 23 billion activated per token, built for frontier coding and agentic work and released under the minimax-community license. It is natively multimodal, trained across text, image, and video from the start, and can read screenshots and operate a desktop computer for end-to-end automation. The model is powered by MiniMax Sparse Attention, a sparse-attention design that supports context windows up to one million tokens while cutting the compute spent per token, giving large speedups over M2 at long context. MiniMax reports 59.0% on SWE-Bench Pro, 66.0% on Terminal-Bench 2.1, and 74.2% on MCP Atlas, alongside results on agentic suites such as BrowseComp, BFCL, and GAIA. M3 is suited to long-horizon tool use, multi-step coding loops, and computer-use automation where both reasoning depth and long-context throughput matter.
Minimax M3 runs on 2 different routes through the Opper gateway. Compare residency, ZDR, and training posture at a glance β full data-handling detail per route below.
Training posture across routes: No training on prompts by default.
Each route hosting Minimax M3 has its own privacy posture, residency, and GDPR terms. Postures are maintained by Opper with a last-verification timestamp.
Zero data retention is available via Opper Enterprise contract. No training on customer data. US; SCCs; DPA available.
Zero data retention is available via Opper Enterprise contract. No training on customer data. US; SCCs; DPA available.
Independent benchmark scores β composite indices for reasoning, coding, and math, plus individual eval scores where available.
Call Minimax M3 through the Opper gateway with one API key. Let your coding agent set it up, or call it directly β Opper is drop-in compatible with the OpenAI, Anthropic, and Google AI SDKs.
Copy this and paste it into your coding agent β Claude Code, Cursor, Codex, and more β and it'll wire up Opper for you.
import OpenAI from "openai";const client = new OpenAI({apiKey: process.env.OPPER_API_KEY,baseURL: "https://api.opper.click/v3/compat",});const completion = await client.chat.completions.create({model: "fireworks/minimax-m3",messages: [{ role: "user", content: "Hello" }],});console.log(completion.choices[0].message.content);
Side-by-side on privacy, EU hosting, pricing, and benchmarks.
