MiniMax M2-her overview
MiniMax M2-her by MiniMax
Unlike general-purpose LLMs, it prioritizes engagement, continuity, and narrative depth over analytical tasks.
MiniMax M2-her specs
- Model ID
minimax/m2-her- Developer
- MiniMax
- Context window
- 64,000 tokens
- Max output
- 2,048 tokens
- Input
- Text
- Output
- Text
- API
- OpenAI-compatible, base URL
https://api.aimlapi.com/v1
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. It is designed to reduce common long-context failures such as reference confusion, repetitive dialogue loops, and inconsistent character behavior.
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 Across Long Interactions
MiniMax-M2-her is distinguished by its ability to maintain character identity across long and complex interactions. In extended role-play scenarios, it reduces the typical “personality drift” seen in many large language models, helping fictional characters remain consistent and believable.
Multi-Character Dialogue Management
It also supports multi-character environments, where several distinct voices may exist within a single conversation. This includes situations where the model alternates between narrators, supporting characters, and direct user interaction while maintaining clarity and structure.
Long-Horizon Narrative Stability
Another defining feature is long-horizon stability. The model is engineered to preserve coherence across very long sessions, making it suitable for interactive storytelling experiences that extend far beyond typical chatbot exchanges.
Emotionally Aware Response Behavior
Emotionally aware dialogue handling is also central to its behavior. The model interprets subtle conversational cues such as hesitation, emotional intensity, or implied intent, and adjusts pacing, tone, and narrative direction accordingly.
Use cases
Designed for role-playing and multi-turn conversations, with a dialogue-first focus on expressive back-and-forth interaction.
Suited to immersive roleplay and character-driven chat, where maintaining tone and personality across exchanges matters.
Used for storytelling and story-driven conversations, including scenarios that benefit from natural flow and vivid interaction.
Capabilities
- Function calling
- Streaming
- Reasoning
MiniMax M2-her API pricing
| Usage | Price | Unit |
|---|---|---|
| Input | $0.3 | 1M tokens |
| Output | $1.2 | 1M tokens |
Prices from the AI/ML API price list, checked on Nov 4, 2026.
MiniMax M2-her vs other models: token prices
AI/ML API input and output rates for 5 models, per million tokens.
| Model | Input | Output |
|---|---|---|
 MiniMax M2-her | $0.3 | $1.2 |
| MiniMax M3.1 Flash | $0.15 | $0.6 |
| MiniMax M3 | $0.3 | $1.2 |
| MiniMax M2.1 Highspeed | $0.6 | $2.4 |
| MiniMax M2.7 Highspeed | $0.6 | $2.4 |
How to use the MiniMax M2-her API
View docs
Build with your agent
Give your agent the model details, code and documentation.
1Get your API key
Create API keyexport AIMLAPI_KEY="8f2b4c7d9a1e6b3f…"2Make your first request
curl 'https://api.aimlapi.com/v1/chat/completions' \
-H "Authorization: Bearer $AIMLAPI_KEY" \
-H 'Content-Type: application/json' \
-d '{
"model": "minimax/m2-her",
"messages": [
{
"role": "user",
"content": "Write a haiku about the ocean."
}
]
}'import os
import requests
headers = {
"Authorization": f"Bearer {os.environ['AIMLAPI_KEY']}",
"Content-Type": "application/json",
}
payload = {
"model": "minimax/m2-her",
"messages": [
{
"role": "user",
"content": "Write a haiku about the ocean."
}
]
}
response = requests.post("https://api.aimlapi.com/v1/chat/completions", headers=headers, json=payload, timeout=120)
response.raise_for_status()
print(response.json())const response = await fetch("https://api.aimlapi.com/v1/chat/completions", {
method: "POST",
headers: {
Authorization: `Bearer ${process.env.AIMLAPI_KEY}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"model": "minimax/m2-her",
"messages": [
{
"role": "user",
"content": "Write a haiku about the ocean."
}
]
}),
});
if (!response.ok) throw new Error(`HTTP ${response.status}`);
console.log(await response.json());Models similar to MiniMax M2-her
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MiniMax M2-her FAQ
What is the context window of MiniMax M2-her?
MiniMax M2-her has a 64,000 tokens context window and can return up to 2,048 tokens.
What inputs and outputs does MiniMax M2-her support?
MiniMax M2-her takes image, text as input and returns text.
What is the model ID for MiniMax M2-her?
Use minimax/m2-her as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.
When was MiniMax M2-her released?
MiniMax M2-her became available on April 14, 2026.
How much does MiniMax M2-her cost?
MiniMax M2-her costs $0.3 input and $1.2 output per 1M tokens on AI/ML API, billed as you go with no subscription.
Does MiniMax M2-her support streaming?
Yes, MiniMax M2-her can stream responses as they are generated.
Can MiniMax M2-her read images?
Yes, MiniMax M2-her accepts image input alongside text.
Who created MiniMax M2-her?
MiniMax M2-her was built by MiniMax.
Does MiniMax M2-her support function calling and tool use?
Yes, MiniMax M2-her supports function calling and parallel tool calls.