MiniMax ABAB7 API Guide: Large Context AI Integration

Introduction

MiniMax ABAB7 offers the largest context window in its class at 256K tokens, with strong multilingual capabilities and audio support. Access it through AI API Hub's OpenAI-compatible endpoint.

Setup

import openai
client = openai.OpenAI(api_key="your-api-key", base_url="https://api.apiyihe.org/v1")
response = client.chat.completions.create(
    model="abab7-chat",
    messages=[{"role": "user", "content": "Analyze this research paper..."}],
    max_tokens=2000
)

256K Context Processing

books = [open(f"book_{i}.txt").read() for i in range(3)]
all_content = "\n\n".join(books)

response = client.chat.completions.create(
    model="abab7-chat",
    messages=[{"role": "user", "content": f"Compare themes across these three books:\n{all_content}"}],
    max_tokens=4000
)

Multilingual Support

languages = [("Chinese", "用中文写一首诗"), ("English", "Write a poem"), ("Japanese", "詩を書いてください")]
for lang, prompt in languages:
    r = client.chat.completions.create(model="abab7-chat", messages=[{"role": "user", "content": prompt}])
    print(f"=== {lang} ===\n{r.choices[0].message.content}\n")

FAQ

Q: What's the advantage of 256K context? A: Process entire books or multi-hour conversation histories. Q: Does MiniMax support streaming? A: Yes. Q: Pricing? A: $0.15/1M input, $1.50/1M output.