MiniMax M3.1 Flash
Active Parameters
428B
Context Length
1.05M
Modality
Text
Architecture
Mixture of Experts (MoE)
License
other
Release Date
17 Oct 2026
Knowledge Cutoff
-
API Pricing (per 1M)
Input: $0.15 · Output: $0.60
System Requirements
VRAM requirements for different quantization methods and context sizes
1,024 tokens
Consumer
47x RTX 4090
24GB VRAM
Datacenter
13x NVIDIA A100
80GB VRAM
Apple Silicon
10x Apple M3 Max
128GB VRAM
1,048,576 tokens
Consumer
55x RTX 4090
24GB VRAM
Datacenter
15x NVIDIA A100
80GB VRAM
Apple Silicon
12x Apple M3 Max
128GB VRAM
Architecture Diagram
Evaluation Benchmarks
Rank
#47
| Benchmark | Score | Rank |
|---|---|---|
Web Development | 1589 | 29 |
Intelligence Index | 0.43 | 40 |
Agent Arena | -2.25 | 45 |
Rankings
Overall Rank
#47
Coding Rank
#59
About MiniMax M3.1 Flash
MiniMax M3.1 Flash is an efficient sparse multimodal foundation model built by MiniMax. It provides accelerated conditional generation and vision-language processing across complex multi-turn workflows.
Technical Specifications
Attention
Attention Structure
DeepSeek Sparse Attention
Attention Heads
64
Key-Value Heads
4
Attention Head Dimension
128
Position Embedding
ROPE
RoPE Theta
10,000,000
Indexer Key Dimension
128
Normalization
RMS Normalization
Activation Function
SwigLU
Dimensions
Hidden Dimension Size
6,144
Number of Layers
60
FFN Intermediate Size (Dense)
12,288
Tokenizer
Vocabulary Size
200,064
Mixture of Experts
Total Expert Parameters
23.0B
Number of Experts
128
Active Experts
4
Shared Experts
1
FFN Intermediate Size (per Expert)
3,072
Dense Layers Before MoE
3
Resources
About MiniMax M3
MiniMax's flagship M3 model family, released June 1, 2026, is powered by MiniMax Sparse Attention (MSA) architecture, offering 1M context capabilities at exceptionally low compute cost and optimized for long-horizon agentic workflows.