How to Process 100-Page Documents with AI (Using 128K Context Models)

Need to analyze a 100-page PDF? Or summarize a 50K-token transcript?

Most AI models cap at 8K-32K tokens. But some support 128K context — enough for entire books.

AIBridge gives you instant access to 3 models with 128K context:

from openai import OpenAI

client = OpenAI(
    api_key="mb_your_key",
    base_url="https://aibridge-api.com/v1"
)

# 128K context models available:
# - deepseek-v4-pro (128K)
# - deepseek-v4-flash (128K)
# - qwen3-235b-a22b (128K)
# - glm-4-plus (128K)
# - glm-4-air (128K)
# - glm-4-flash (128K)
# - moonshot-v1-128k (128K) ← specialized for long docs

# For massive documents, use Moonshot 128K
response = client.chat.completions.create(
    model="moonshot-v1-128k",
    messages=[{"role": "user", "content": f"Summarize this 100-page document:\n\n{long_document}"}]
)

Why this matters:
✅ No more chunking & reassembling
✅ No more "token limit exceeded" errors
✅ Process entire books in one request
✅ Compare summaries across models instantly

128K context = ~100,000 words = ~200 pages of text.

Try it with 3M free tokens: https://aibridge-api.com

Stop chunking. Start processing. 📚