MiniMax M2.1
Overview
| Property |
Value |
| Model ID (Inference) |
minimax/minimax-m2.1 |
| Provider |
MiniMax |
| Created |
December 23, 2025 |
| Context Length |
204,800 tokens |
| Knowledge Cutoff |
June 2025 |
| Input Modalities |
Text |
| Output Modalities |
Text |
Description
A lightweight, state-of-the-art language model with 10 billion activated parameters, optimized for coding, agentic workflows, and application development. The model delivers cleaner, more concise outputs and faster perceived response times compared to predecessors, with strong multilingual coding performance.
Key Capabilities
- Tool use and function calling support
- Multipart request support
- BYOK (Bring Your Own Key) enabled
- Reasoning support with
<think> tags
- Mandatory reasoning feature enabled
Pricing
| Type |
Cost per Million Tokens |
| Input |
$0.30 |
| Output |
$1.20 |
Supported Parameters
| Parameter |
Description |
| Reasoning |
Enable/disable reasoning mode |
| Include Reasoning |
Include reasoning in response output |
| Max Tokens |
Maximum tokens to generate |
| Temperature |
Controls randomness (0-2) |
| Top-p |
Nucleus sampling parameter |
| Tools |
Function/tool definitions for tool use |
| Tool Choice |
Control tool selection behavior |
| Response Format |
Specify response format (JSON, etc.) |
Usage Statistics (Latest Day)
| Metric |
Value |
| Prompt Tokens |
94.8M |
| Completion Tokens |
4.41M |
| Reasoning Tokens |
2.77M |
| Total Requests |
7,732 |
API Usage Example
curl https://api.langmart.ai/v1/chat/completions \
-H "Authorization: Bearer $LANGMART_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "minimax/minimax-m2.1",
"messages": [
{"role": "user", "content": "Hello, how are you?"}
]
}'
From MiniMax Provider
| Model |
Model ID |
Context |
Input $/M |
Output $/M |
Description |
| MiniMax M2 |
minimax/minimax-m2 |
197K |
$0.20 |
$1.00 |
Compact, high-efficiency LLM optimized for end-to-end coding and agentic workflows |
| MiniMax M1 |
minimax/minimax-m1 |
1M |
$0.40 |
$2.20 |
Large-scale, open-weight reasoning model designed for extended context and high-efficiency inference |
| MiniMax-01 |
minimax/minimax-01 |
1M |
$0.20 |
$1.10 |
Combines text generation and image understanding with 456B parameters and 4M token context |
Providers
MiniMax (Primary Provider)
| Property |
Value |
| Region |
Singapore (headquarters); US (datacenters) |
| Data Policy |
Training disabled; prompts retained; no publishing allowed |
| Terms |
minimax.io/platform/protocol |
Resources
Last updated: December 23, 2025
*Source: LangMart *