MiniMax, released 2025-10-23. Sparse MoE decoder, 230B total, 10B active, 192K context. Attention: GQA with QK-Norm and partial RoPE.
Sparse MoEMiniMax 🇨🇳 · March 18, 2026
MiniMax M2.7 (230B)
Agent-focused 230B follow-up built for self-evolution, agent harnesses, and productivity workflows.
Key detail
Keeps the M2.5-style 62-layer sparse MoE stack and adds three MTP modules for speculative decoding support.Total params
230B
Active / token
10B
Context
192K
Fact sheet
- Scale
- 230B total, 10B active (4.3% active)
- Context window
- 196,608 tokens
- Decoder type
- Sparse MoE
- Attention
- GQA with QK-Norm
- Layer mix
- 62 GQA
- KV cache / token (bf16)
- 248 KiB · High
- License
- MiniMax M2.7 Non-Commercial License
- Released
Efficiency
Parameters active per token
4.3%
10B of 230B weights run for each token.
AA Intelligence Index v4.3.2
Source22.8
- General
- 34.7
- Scientific
- 15.1
- Coding
- 25.1
- Agents
- 14.7
Architecture concepts
Sources & resources
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Similar architectures
MiniMax, released 2026-02-12. Sparse MoE decoder, 230B total, 10B active, 192K context. Attention: GQA with QK-Norm.
Tencent, released 2026-04-23. Sparse MoE decoder, 295B total, 21B active, 256K context. Attention: GQA with QK-Norm.
Z.ai, released 2025-07-28. Sparse MoE decoder, 355B total, 32B active, 128K context. Attention: GQA with QK-Norm.