MiniMax M2
MiniMax
MiniMax-M2 redefines efficiency for agents. It is a compact, fast, and cost-effective MoE model (230 billion total parameters with 10 billion active parameters) built for elite performance in coding and agentic tasks, all while maintaining powerful general intelligence.
- Language
- Reasoning
- Tool use
- Context
- 205K
- Max output
- 205K
- Input / 1M
- $0.300
- Output / 1M
- $1.20
Quickstart
Point any OpenAI-compatible client at Maxynetic Systems and pass minimax/minimax-m2 as the model.
curl https://api.maxynetic.com/v1/chat/completions \
-H "Authorization: Bearer $MAXYNETIC_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "minimax/minimax-m2",
"messages": [{ "role": "user", "content": "Explain routing in one line." }]
}'Pricing
Billed per token with no markup on the underlying provider rate.
Input
Per 1M prompt tokens
$0.300
Output
Per 1M completion tokens
$1.20
Cache read
Per 1M cached prompt tokens
$0.030
Cache write
Per 1M tokens written to cache
$0.375
A 1M-token prompt with 250K tokens of output costs about $0.600.