MiniMax M3 Open Weights Released: 1M Context, MoE, Frontier Coding
MiniMax
MiniMax released the open weights of M3 on HuggingFace on June 10, 2026 — fulfilling the promise made at the June 1 API launch. M3 uses MiniMax Sparse Attention (MSA) to deliver 1M-token context at 1/20th the per-token compute of the prior generation, achieving 9× faster prefill and 15× faster decoding. It scores 59.0% on SWE-Bench Pro (surpassing GPT-5.5 and Gemini 3.1 Pro) and supports image and video inputs natively. API pricing: $0.60/$2.40 per million tokens input/output.
Why it matters
M3 is the first open-weight model combining frontier-level coding, a million-token context window, and native multimodal input in a single architecture. The open weights dramatically expand what the open-source community can run and fine-tune at frontier performance levels.
Importance: 4/5
Frontier open-weight release from Chinese lab; SOTA SWE-Bench Pro score among open models; 1M context + native multimodal is a new bar for open weights.