Pricing
- Input Tokens: $0.2876 /M tokens
- Output Tokens: $1.1504 /M tokens
- Cache Read: $0.0288 /M tokens
Input Modalities
Try this model
Python
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["AIHUBMIX_API_KEY"],
base_url="https://shkq.org/v1",
)
response = client.chat.completions.create(
model="alicloud-minimax-m2.5",
messages=[
{
"role": "user",
"content": "Hello, how are you?"
}
],
max_tokens=1024,
stream=False,
)
print(response.choices[0].message.content)Frequently asked questions
How much does Alicloud Minimax M2.5 cost?
On AIHubMix, Alicloud Minimax M2.5 costs $0.2876 per million input tokens and $1.1504 per million output tokens. Cached input reads are billed at $0.0288 per million tokens.
How do I call Alicloud Minimax M2.5 via API?
Who created Alicloud Minimax M2.5?
More models from Minimax
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Context:-
TTFT:-
Throughput:-
MiniMax-M1 is an open-source large-scale hybrid attention model with 456B total parameters (45.9B activated per token). It natively supports 1M-token context and reduces FLOPs by 75% versus DeepSeek R1 in 100K-token generation tasks via lightning attention. Built on MoE architecture and optimized by CISPO algorithm, it achieves state-of-the-art performance in long-context reasoning and real-world software engineering scenarios.
- Input: $ 2 /M
- Output: $ 2 /M
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Output:$ 1.12 /M
Context:-
TTFT:-
Throughput:-
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