MiniMax M2
minimax-m2MiniMax-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,... Built by MiniMax.
Prices updated
Input price
$0.30
per 1M tokens · Standard
Output price
$1.20
per 1M tokens · Standard
Input limit
205K
tokens
Output limit
177K
tokens
Input formats
Output formats
MiniMax M2 price history
2 price records since 9/25/2026
MiniMax M2 cost calculator
$12/month
Standard pricing
Overview
What is MiniMax M2?
MiniMax M2 is a text & reasoning model from MiniMax. 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,... Its 205K context window and $0.30 input price make it a candidate for cost-sensitive, high-throughput applications.
Benchmarks
MiniMax M2 benchmarks & speed
How MiniMax M2 scores on standardized evaluations, and where it lands among every model we track.
18.6
Intelligence Index
98tok/s
Output speed
Reasoning
GPQA Diamond
77.7%
Graduate-level scientific reasoning · top 58%
HLE
13.7%
Humanity's Last Exam · top 59%
Latency & design
- Time to first token
- 1.45s
Independent scores from Artificial Analysis and DesignArena · updated 10/5/2026. Higher is better; ranks compare against every model we track with that score.
Rates
MiniMax M2 pricing
Pricing is based on token usage. Provider-specific caching, batch, regional, and tool charges may affect the final cost.
Input · Standard
$0.30
Per 1M tokens
Cached input · Standard
Not available
No listed cached-input rate
Capabilities
MiniMax M2 Tools
Tools available when using MiniMax M2 through supported provider APIs.
Function calling
Supported
Structured outputs
Supported
JSON mode
Supported
Reasoning
Supported
Built-in web search
Not supported
Log probabilities
Supported
Deterministic seed
Supported
Parallel tool calls
Not supported
Prompt caching
Not supported
Strengths and limitations
Strengths
- Low input cost at $0.30 per million tokens suits high-volume workloads.
- 205K context supports large documents, repositories and extended conversations.
- Supports text & reasoning workloads in one model.
Limitations
- Generated tokens cost 4× more than input tokens, which matters for verbose responses.
- Large context capacity does not guarantee consistent retrieval across the entire prompt.
- Arena Elo and MMLU-Pro are directional; test accuracy, latency and reliability on your own workload before committing.
Arena Elo, MMLU-Pro and pricing figures are illustrative; validate current vendor terms before purchase.
Same provider