The 1M+ Token Context Window Advantage

2 min read

1M+

Token context window

Approximately 2,500 pages of text, 11 hours of audio, or 1 hour of video. 5x larger than Claude (200K) and nearly 8x larger than GPT (128K).

Context window comparison (tokens)

🟢
128K

GPT

128K tokens

🟠
200K

Claude

200K tokens

🔵
1M

Gemini

1M tokens

0

Pages of text per prompt

0 hrs

Audio in a single request

0%

Savings with context caching

When you might not need RAG

For many use cases, the 1M token context window is large enough to skip the complexity of retrieval augmented generation (RAG) entirely. Instead of building an embedding pipeline, vector database, and retrieval logic, you can often just include all relevant documents directly in the prompt. This dramatically simplifies architecture at the cost of higher per request token usage, which context caching can offset.