MiniMax-Text-01 API
Discover MiniMax-Text-01 456B API with superior long-context performance and accuracy in general knowledge and reasoning.
Hailuo AI
MiniMax-Text-01
MiniMax-Text-01 is an advanced 456B-parameter language model with 45.9B active parameters per token that supports up to 4 million token contexts. Perfect for applications requiring deep reasoning, extensive context processing, and efficient handling of massive datasets.
Dual-Mode Attention with Expert Routing
The architecture combines a fast "Lightning" system for quick processing, a detailed "Softmax" for in-depth analysis, and 32 expert components, balancing speed with specialized task handling.
Multi-GPU Optimization Framework
The system employs INT8 quantization, bfloat16 precision, LASP+, varlen ring attention, and Expert Tensor Parallel across 8 GPUs for efficient computation and memory management.
Advanced Memory-Saving Design
A smart system that activates only 45.9 billion out of its 456 billion total parameters when processing each piece of text. That reduces computational costs while maintaining model capacity.
Next Level
MiniMax-Text-01
Versus Llama and GPT-4o
MiniMax-Text-01 stands out in handling extremely long contexts (surpassing Gemini-1.5-Pro and Claude-3.5-Sonnet), general knowledge (matching DeepSeek-V3), and benchmarks requiring comprehensive understanding (outperforming GPT-4o).
Versus Llama-3.1-405B-Instruct
Both models achieve similar MMLU scores (88.5% vs 88.6%), but Llama-3.1-405B-Instruct shows weaker performance on long-context tasks (no data available) and reasoning benchmarks like Arena-Hard (63.5% vs 89.1%).
Versus Claude 3.5 Sonnet
MiniMax-Text-01 performs better on LongBench (56.5% vs 46.7%) and achieves comparable MMLU scores, though Claude 3.5 Sonnet shows superior performance on GPQA (65.0% vs 54.4%) and HumanEval (93.7% vs 86.9%).
Versus GPT-4o
MiniMax-Text-01 shows stronger performance on long-context tasks and benchmarks like MMLU (88.5% vs 85.7%), while GPT-4o demonstrates better capabilities in reasoning tasks like GPQA (46.0% vs 54.4%) and MBPP (76.2% vs 71.7%).
Developing with
MiniMax-Text-01 API
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import os
from openai import OpenAI
client = OpenAI(
base_url="<YOUR_API_KEY>",
api_key="https://api.aimlapi.com/v1",
)
response = client.chat.completions.create(
model="hailuo_ai/minimax_text_01,
messages=[
{
"role": "system",
"content": "You are an AI assistant who knows everything.",
},
{
"role": "user",
"content": "Tell me, why is the sky blue?"
},
],
)
message = response.choices[0].message.content
print(f"Assistant: {message}")How to Get a MiniMax-Text-01 API Key with AI/ML API
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Create API Key
In the Playground, navigate to the Key Management section and click on Create API Key. You can easily activate or deactivate your keys as needed.
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After creating your API key, you can integrate AI models into your application by following the guidelines provided in our API reference.
