AI - Paski.devMiniMax M2
MiniMax llmA 230B-parameter (10B active) MoE model that deliberately returned to full attention over M1's linear attention, optimized for coding and agentic workflows.
overall ⌄
34.4
76 of 93 ranked
price · $/M tokens
0.3 / 1.2
in / out, as of 2026-07-25
to run it yourself ⌄
138 GB
minimum · 552 GB recommended
Benchmarks
What its maker published, and what anyone else measured. Every figure links the document it came from.
Cheaper, and at least as good
On a 1,000-in, 1,000-out call these cost less and rank no lower — a hard comparison to argue with, and a narrow one. Value covers what it misses.
| Devstral Small 2 Mistral AI | $0.00040 | overall 42.7 |
| Ministral 3 14B Reasoning Mistral AI | $0.00040 | overall 48.1 |
| DeepSeek V4-Flash DeepSeek | $0.00042 | overall 59.3 |
| Qwen3 32B Alibaba | $0.00080 | overall 35.1 |
| DeepSeek V4-Pro DeepSeek | $0.00130 | overall 68.3 |
Lineage
↓ finetune MiniMax M2.1
Metadata
| org | MiniMax |
| released | 2025-10-27 |
| params | 230B-A10B |
| license | modified-mit |
| hf id | MiniMaxAI/MiniMax-M2 |