minimax/minimax-m1
1,000,000 context · $0.40/M input tokens · $2.20/M output tokens
MiniMax-M1 is a large-scale, open-weight reasoning model designed for extended context and high-efficiency inference. It leverages a hybrid Mixture-of-Experts (MoE) architecture paired with a custom "lightning attention" mechanism, allowing it...
Prezzi
Pay-per-use
Nessun costo iniziale, paga solo per ciò che usi
Prova il modello
Utilizzo API
Usa i seguenti esempi di codice per integrare la nostra API:
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://llm.wavespeed.ai/v1"
)
response = client.chat.completions.create(
model="minimax/minimax-m1",
messages=[
{"role": "user", "content": "Hello!"}
]
)
print(response.choices[0].message.content)Introduzione al modello
Minimax minimax-m1
MiniMax-M1 is a high-performance large language model optimized for efficiency and accuracy in diverse tasks
MiniMax-M1 is a high-performance large language model optimized for efficiency and accuracy in diverse tasks.
Why It Looks Great
- MoE (Mixture of Experts) architecture for efficient processing
- 1000000 context window for long document handling
- Competitive pricing at $0.4/$2.4 per million tokens
Key Features
- Context Window: 1000000 tokens
- Max Output: 40000 tokens
- Vision: Supported
- Function Calling: Supported
Specifications
| Specification | Value |
|---|---|
| Provider | Minimax |
| Model Type | Large Language Model (LLM) |
| Architecture | MoE (Mixture of Experts) |
| Context Window | 1000000 tokens |
| Max Output | 40000 tokens |
| Input | Text |
| Output | Text |
| Vision | Supported |
| Function Calling | Supported |
Pricing
| Token Type | Cost per Million Tokens |
|---|---|
| Input | $0.4 |
| Output | $2.4 |
How to Use
- Write your prompt — describe the task, provide context, and specify desired output format.
- Submit — the model processes your request and returns the response.
API Integration
Base URL: https://llm.wavespeed.ai/v1 API Endpoint: chat/completions Model ID: minimax/minimax-m1
API Usage
Python SDK
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://llm.wavespeed.ai/v1"
)
response = client.chat.completions.create(
model="minimax/minimax-m1",
messages=[
{"role": "user", "content": "Hello!"}
]
)
print(response.choices[0].message.content)cURL
curl https://llm.wavespeed.ai/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
"model": "minimax/minimax-m1",
"messages": [{"role": "user", "content": "Hello!"}]
}'Notes
- Model: minimax/minimax-m1
- Provider: Minimax
Info
Funzionalità supportate
Guida all'accesso API
Minimax M1 API
minimax/minimax-m1
MiniMax-M1 is a large-scale, open-weight reasoning model designed for extended context and high-efficiency inference. It leverages a hybrid Mixture-of-Experts (MoE) architecture paired with a custom "lightning attention" mechanism, allowing it...
Input
$0.4 /M
Output
$2.2 /M
Contesto
1000K
Output max
40K
Uso strumenti
Supportato
Prova Minimax M1 su WaveSpeedAI
Accedi a Minimax M1 tramite la nostra API unificata — compatibile con OpenAI, senza cold start, prezzi trasparenti.
Domande frequenti su Minimax M1
Quanto costa Minimax M1 via API?+
Prezzi su WaveSpeedAI: $0.40 per milione di token in input e $2.20 per milione di token in output. Prompt caching e batch processing sono fatturati separatamente e riducono il costo effettivo su carichi lunghi e ripetitivi.
Qual è la context window di Minimax M1?+
Minimax M1 supporta fino a 1000K token di contesto e fino a 40K token di output per richiesta.
Minimax M1 è compatibile con OpenAI?+
Sì. WaveSpeedAI espone Minimax M1 tramite un endpoint compatibile con OpenAI all'indirizzo https://llm.wavespeed.ai/v1. Punta l'SDK ufficiale di OpenAI a questa base URL con la tua API key WaveSpeedAI — senza altre modifiche al codice.
Come si inizia con Minimax M1?+
Accedi a WaveSpeedAI, crea una API key in Access Keys, poi invia una richiesta a https://llm.wavespeed.ai/v1/chat/completions con il model id mostrato sopra. I nuovi account ricevono crediti gratuiti per testare Minimax M1.