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const { OpenAI } = require('openai');
const api = new OpenAI({
baseURL: 'https://api.ai.cc/v1',
apiKey: '',
});
const main = async () => {
const result = await api.chat.completions.create({
model: 'minimax/m2-her',
messages: [
{
role: 'system',
content: 'You are an AI assistant who knows everything.',
},
{
role: 'user',
content: 'Tell me, why is the sky blue?'
}
],
});
const message = result.choices[0].message.content;
console.log(`Assistant: ${message}`);
};
main();
import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.ai.cc/v1",
api_key="",
)
response = client.chat.completions.create(
model="minimax/m2-her",
messages=[
{
"role": "system",
"content": "You are an AI assistant who knows everything.",
},
{
"role": "user",
"content": "Tell me, why is the sky blue?"
},
],
)
message = response.choices[0].message.content
print(f"Assistant: {message}")
MiniMaxM2-her
MiniMax-M2-her is an advanced role-play focused AI model designed for immersive and emotionally consistent conversations.
What Is MiniMax M2-her API?
MiniMax M2-her is a specialized conversational model optimized for role-based interaction and immersive dialogue systems. Unlike general-purpose LLMs, it is engineered to maintain coherence across extended exchanges, even when multiple characters, shifting contexts, or layered storylines are involved.
The model places strong emphasis on world consistency, narrative flow, and user preference adaptation, making it suitable for interactive fiction, AI companions, and structured storytelling systems.
System Behavior Overview
| Capability Area | Description | Impact on Experience |
|---|---|---|
| Character consistency | Maintains stable personalities across long sessions | More believable roleplay and dialogue |
| Context memory handling | Tracks long conversation history effectively | Reduced repetition and confusion |
| Story progression | Actively advances narrative flow | More dynamic interactions |
| Multi-role support | Handles multiple characters in one session | Enables complex storytelling setups |
Character Consistency
MiniMax-M2-her is distinguished by its ability to maintain character identity across long and complex interactions, reducing "personality drift."
Multi-Character Management
Supports environments where several distinct voices exist within a single conversation, alternating between narrators and supporting roles.
Narrative Stability
Engineered to preserve coherence across very long sessions, perfect for storytelling that extends far beyond typical chatbot exchanges.
Emotional Awareness
Interprets subtle conversational cues like hesitation and emotional intensity to adjust pacing, tone, and narrative direction.
Technical Profile
Leveraging large-scale dialogue datasets, MiniMax-M2-her is built for scalable conversational simulation. Training methodologies emphasize consistency over time, utilizing self-play conversation generation where multiple AI agents interact within the same scenario.
Performance Matrix
| Capability Area | Performance Profile |
|---|---|
| Role-play immersion | ★★★★★ |
| Character consistency | ★★★★★ |
| Long conversation stability | ★★★★★ |
| Narrative creativity | ★★★★☆ |
| Coding / analytical reasoning | ★★☆☆☆ |
Strengths & Limitations
The Primary Strength
Sustaining immersive, emotionally coherent interactions over long periods. It delivers strong character consistency and natural narrative pacing.
Known Limitations
Not intended for high-precision reasoning, structured enterprise automation, or technical problem-solving where deterministic tasks are required.
AI Playground
