MiniMax M2-her
MiniMax M2-her is a dialogue-first large language model from MiniMax, optimized for immersive roleplay, character-driven chat, and expressive multi-turn conversations.
What is MiniMax M2-her?
MiniMax M2-her is a specialized variant of the MiniMax M2 large language model designed primarily for dialogue and character-focused interaction. It is mainly used for immersive roleplay, storytelling, and companion-style chat experiences that require strong character consistency and emotional nuance. It also serves creative writing, interactive fiction, and other conversational applications where maintaining long, coherent, multi-turn dialogues is important. M2-her belongs to the MiniMax M2 model family, which includes other general-purpose and high-speed variants such as M2, M2.1, and M2.5.
Providers
Different companies host the same model. OpenRouter routes your request to one of them based on the routing mode you pick — Balanced (price + speed), Nitro (fastest), or Exacto (highest tool-calling accuracy).
| Provider | Input | Output | Cache read /M | Latency | Throughput | Uptime |
|---|---|---|---|---|---|---|
| MiniMax | ~$0.70 | ~$0.70 | — | ~220ms | ~60 tps | ~99.9% |
| OpenAI (GPT-4.1 Mini-equivalent) | ~$0.50 | ~$1.50 | — | ~250ms | ~80 tps | ~99.9% |
| Anthropic (Claude 3 Haiku-equivalent) | ~$0.40 | ~$1.20 | — | ~260ms | ~70 tps | ~99.9% |
| Azure AI (MiniMax-compatible deployment) | ~$0.60 | ~$0.60 | — | ~240ms | ~65 tps | ~99.9% |
Try this model
Test MiniMax M2-her right here — free to start.
Suggestions for your first prompt
Code snippet
Call the model through the OpenAI-compatible API.
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://inference.example.com/v1"
)
response = client.chat.completions.create(
model="minimax/minimax-m2-her",
messages=[
{
"role": "user",
"content": "Describe this image in one sentence."
}
],
)
print(response.to_json())
{
"model": "minimax/minimax-m2-her",
"messages": [
{
"role": "user",
"content": "Describe this image in one sentence."
}
]
}
5 Core Capabilities
-
Conversational Chat
Supports multi-turn natural language dialogues, following instructions and maintaining context for general-purpose assistant and chatbot applications.
-
Text Monitoring
Enables content analysis and safety monitoring, helping classify or filter user-generated text based on policies or business rules.
-
Image Capabilities
Processes input images to assist with multimodal tasks like visual context understanding, when integrated into supported MiniMax products.
-
Text Translation
Translates between multiple languages for everyday communication and application localization within MiniMax’s supported language pairs.
-
Optical Character Recognition
Extracts machine-readable text from images or screenshots when paired with MiniMax tooling that exposes OCR functionality.
6 Most Valuable Use Cases
- Immersive Roleplay Chat
- Story Co-writing
- AI Companion Chatbots
- Interactive Fiction Games
- Language Practice Partner
- Emotional Dialogue Testing
Why Build on LLM.API?
One unified API. Every major model. Built-in reliability, cost control, and observability.
-
Unified AI Routing
Dynamically route each request to the best model across providers based on latency, cost, and quality—without changing your integration or redeploying code.
Smart routing, one API -
Cost-Aware Orchestration
Automatically balance premium and budget models using configurable policies, so you control spend while keeping performance and user experience predictable at scale.
Optimize spend, not code -
Resilient Fallback Flows
Define provider- and model-level fallback chains that trigger on errors, timeouts, or bad responses—keeping your production workloads online when vendors fail.
Never ship single-vendor -
Deep Observability
Get centralized traces, metrics, and logs across all LLM calls—latency, errors, cost, and model behavior—so you can debug, tune, and prove reliability to stakeholders.
See every token, everywhere -
Task-Level Abstractions
Describe tasks like chat, generation, tools, or structured output once and let LLM.API map them to the right provider-specific APIs under the hood.
Think tasks, not vendors -
High-Throughput Batching
Submit large batches of prompts in a single request with concurrency control and vendor-aware limits, cutting latency and API costs for bulk workloads.
Scale up, pay less
When to Use — When NOT to Use
Use it if...
- You need a general-purpose Chinese-centric model from a major Chinese AI provider.
- You need cost-effective text generation for chatbots serving primarily Chinese-speaking users.
- Your use case involves everyday assistant tasks like Q&A, drafting, and rewriting text.
- Your use case involves integrating a mainstream Chinese LLM into an existing local tech stack.
- You need moderate reasoning and conversation quality without requiring state-of-the-art performance.
- You need to experiment with a variety of MiniMax-hosted models within one ecosystem.
Avoid if...
- You need cutting-edge reasoning performance comparable to the very best frontier models available.
- Your workload requires strong support, optimization, and documentation primarily in English environments.
- You need guaranteed world-class performance on advanced coding, math, or complex scientific tasks.
- Your workload requires strict US or EU compliance guarantees and detailed public security attestations.
- You need highly specialized domain models, such as finance-grade or medical-grade tuned systems.
- Your workload requires seamless interoperability with leading Western foundation-model platforms and tooling.
Frequently Asked Questions
-
What is MiniMax M2-her?
MiniMax M2-her is a large language model from MiniMax designed for fast, cost-efficient text generation and reasoning via the LLM.API gateway.
-
What is the context window of MiniMax M2-her?
MiniMax M2-her supports multi-thousand token prompts, suitable for moderately long conversations, documents, and tool-augmented workflows through LLM.API.
-
What modalities does MiniMax M2-her support via LLM.API?
Via LLM.API, MiniMax M2-her currently operates as a text-in, text-out model for chat, completion, and tool-calling style interactions.
-
How does MiniMax M2-her pricing work on LLM.API?
MiniMax M2-her is billed per 1,000 input and output tokens according to LLM.API’s MiniMax-specific pricing, visible in your LLM.API dashboard.
-
What latency should I expect from MiniMax M2-her on LLM.API?
Typical end-to-end latency is on the order of a few hundred milliseconds to a couple of seconds, depending on prompt size and load.
-
How do I call MiniMax M2-her through LLM.API?
You select the MiniMax M2-her model name in the LLM.API completions or chat endpoint and authenticate using your LLM.API key.
-
What is MiniMax M2-her particularly good at?
MiniMax M2-her is well-suited for general chatbots, drafting, rewriting, basic code assistance, and domain-specific reasoning when provided with clear instructions.
-
How does MiniMax M2-her compare to similar models?
MiniMax M2-her typically offers a balance of speed and quality comparable to mid-sized general-purpose LLMs, often at a lower per-token cost.
-
What are the main limitations of MiniMax M2-her?
MiniMax M2-her can hallucinate facts, lacks guaranteed up-to-date knowledge, and may struggle with very long-context reasoning or highly specialized expert domains.
-
Can I use MiniMax M2-her for streaming responses?
Yes, when enabled in LLM.API, MiniMax M2-her can stream partial tokens to reduce perceived latency in interactive applications.
COMPARE
Competitive Models
-
MiniMax M2.1
MiniMax M2.1 is a second-generation, open-weight Mixture-of-Experts large language model from MiniMax, optimized for real-world coding, tool use, and long-horizon agentic workflows. It is notable for its very large context window (up to around 1M tokens in some deployments) and strong performance on multi-language programming tasks.
-
MiniMax M2.7
MiniMax M2.7 is a 230B-parameter Mixture-of-Experts large language model from MiniMax, with 10B active parameters and a 204,800-token context window, optimized for coding, agentic tool use, and complex multi-step workflows.
-
MiniMax M2.5
MiniMax M2.5 is a frontier-class, agent-native large language model from MiniMax that combines a Mixture-of-Experts architecture with long-context, cost-efficient inference for real-world productivity tasks.
Get one key to every model
Swap your API key. Keep your code.