MiniMax-01
MiniMax: MiniMax-01 Comparez les tarifs API, le fournisseur, la longueur de contexte, les capacites, les cas d'usage, la latence et les alternatives. image understanding, multimodal chat. $0.038 / 1M tokens / $0.208 / 1M tokens. 1M tokens.
Qu'est-ce que MiniMax-01 dans NextModel ?
MiniMax: MiniMax-01 Comparez les tarifs API, le fournisseur, la longueur de contexte, les capacites, les cas d'usage, la latence et les alternatives. image understanding, multimodal chat. $0.038 / 1M tokens / $0.208 / 1M tokens. 1M tokens.
Meilleurs cas d'usage
- image understanding
- multimodal chat
Exemple compatible OpenAI
Conservez le style SDK OpenAI, pointez base_url vers NextModel et utilisez l'ID de catalogue minimax--minimax-01.
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://api.nextmodel.app/v1"
)
resp = client.chat.completions.create(
model="minimax/minimax-01",
messages=[{"role": "user", "content": "Hello from NextModel"}]
)
print(resp.choices[0].message.content)Alternatives proches
MiniMax-M3 is a multimodal foundation model from MiniMax. It supports text, image, and video inputs with text output, a 1M-token context window, and is suited for long-horizon agentic work, coding,...
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...
MiniMax-M2 is a compact, high-efficiency large language model optimized for end-to-end coding and agentic workflows. With 10 billion activated parameters (230 billion total), it delivers near-frontier intelligence across general reasoning,...
FAQ