MiniMax-Text-01: The Cheapest 1 Million Token Context API

Most AI models choke at 8K-32K tokens. For tasks like analyzing an entire codebase, reviewing a legal contract, or summarizing a book, you need a model that can handle hundreds of thousands of tokens in a single call.

MiniMax-Text-01 is a 456 billion parameter model with a 1 million token context window — and it costs just $0.20 per million input tokens through NovAI.

What Can 1 Million Tokens Fit?

Pricing vs Alternatives

MiniMax is 6x cheaper than Gemini 1.5 Pro on input and 3x cheaper on output, with a context window that handles most real-world long-document tasks.

Quick Start

from openai import OpenAI

client = OpenAI(
    api_key="nvai-your-api-key",
    base_url="https://aiapi-pro.com/v1"
)

# Load a large document
with open("large_document.txt") as f:
    document = f.read()

response = client.chat.completions.create(
    model="minimax-text-01",
    messages=[
        {"role": "system", "content": "Analyze the following document thoroughly."},
        {"role": "user", "content": f"Summarize the key findings:\n\n{document}"}
    ],
    max_tokens=4096
)

print(response.choices[0].message.content)

Best Use Cases

• Codebase analysis: Feed an entire repo into one call for architecture review or refactoring suggestions
• Legal document review: Process multiple contracts simultaneously for compliance checks
• Research synthesis: Analyze dozens of papers in one call to find connections and contradictions
• Book summarization: Generate chapter-by-chapter summaries of full novels or textbooks
• Meeting transcript analysis: Process hours of transcribed meetings for action items and decisions