MiniMax M2
MiniMax-M2 is a compact, high-efficiency large language model optimized for end-to-end coding and agentic workflows. With 10 billion activated parameters (230 billion total), it delivers near-frontier intelligence across general reasoning, tool use, and multi-step task execution while maintaining low latency and deployment efficiency.
Input
Output
Context
197K
Max Output
66K
Parameters
—
Technical Specifications
Model TypeChat
Context Window197K
Max Output Tokens66K
Parameters—
Training Cutoff—
License—
Capabilities
Input Modalities
text
Output Modalities
text
Features
code_generationreasoning
Benchmarks
12.5%
HLE
77.7%
GPQA
36.1%
SciCode
82.0%
MMLU Pro
78.3
Math
29.2
Coding
82.6%
LiveCodeBench
36.1
Intelligence
67.9
Speed (tok/s)
30.9
TTFA (s)
1.5
TTFT (s)
Resources & Links
Related Tools
Data sourced from official provider APIs and documentation
Last updated: May 5, 2026
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