MiniMax M2.1
minimax-m2.1MiniMax-M2.1 is a lightweight, state-of-the-art large language model optimized for coding, agentic workflows, and modern application development. With only 10 billion activated parameters, it delivers a major jump in real-world... 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
131K
tokens
Input formats
Output formats
MiniMax M2.1 price history
2 price records since 9/25/2026
MiniMax M2.1 cost calculator
$12/month
Standard pricing
Overview
What is MiniMax M2.1?
MiniMax M2.1 is a text & reasoning model from MiniMax. MiniMax-M2.1 is a lightweight, state-of-the-art large language model optimized for coding, agentic workflows, and modern application development. With only 10 billion activated parameters, it delivers a major jump in real-world... Its 205K context window and $0.30 input price make it a candidate for cost-sensitive, high-throughput applications.
Benchmarks
MiniMax M2.1 benchmarks & speed
How MiniMax M2.1 scores on standardized evaluations, and where it lands among every model we track.
20.9
Intelligence Index
96tok/s
Output speed
1194
DesignArena Elo
Reasoning
GPQA Diamond
83.0%
Graduate-level scientific reasoning · top 49%
HLE
23.2%
Humanity's Last Exam · top 47%
Latency & design
- Time to first token
- 1.37s
- DesignArena win rate
- 55.3%
- Design battles judged
- 20,805
Independent scores from Artificial Analysis and DesignArena · updated 10/8/2026. Higher is better; ranks compare against every model we track with that score.
Rates
MiniMax M2.1 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
$0.03
Per 1M tokens
Capabilities
MiniMax M2.1 Tools
Tools available when using MiniMax M2.1 through supported provider APIs.
Function calling
Supported
Structured outputs
Not supported
JSON mode
Supported
Reasoning
Supported
Built-in web search
Not supported
Log probabilities
Not supported
Deterministic seed
Supported
Parallel tool calls
Not supported
Prompt caching
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