Pricing
- Input Tokens: $0.14 /M tokens
- Output Tokens: $1.12 /M tokens
Input Modalities
- Text
Capabilities
- Long context
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="MiniMax-Text-01",
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 MiniMax Text 01 cost?
On AIHubMix, MiniMax Text 01 costs $0.14 per million input tokens and $1.12 per million output tokens.
What modalities does MiniMax Text 01 support?
What capabilities does MiniMax Text 01 support?
How do I call MiniMax Text 01 via API?
Who created MiniMax Text 01?
More models from Minimax
See all Minimax models → Input:$ 0.6 /M
Output:$ 2.4 /M
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:$ 0.2876 /M
Output:$ 1.1504 /M
Context:-
TTFT:-
Throughput:-
- Input: $ 2 /M
- Output: $ 2 /M
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