Compare the token context window management strategies of Gemini 1.5 Pro and GPT-4o when processing large legacy codebase repositories.
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
Compare the token context window management strategies of Gemini 1.5 Pro and GPT-4o when processing large legacy codebase repositories.
2 real searches · 1 real-search pass
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
Classifying 2 queries…
Searches and sources
ChatGPT2 real searches · gpt-6
Gemini 1.5 Pro context window 1 million tokens long context official Google documentation code repository context caching Google ↗
GPT-4o 128k context window official OpenAI API documentation prompt caching context window Google ↗
- Gemini 1.5 Pro 2M context window, code execution capabilities, and Gemma 2 are available today · developers.googleblog.com
- GPT-4o Model · developers.openai.com
- Conversation state · developers.openai.com
- Introducing Gemini 1.5, Google's next-generation AI model · blog.google
- What is a long context window? Google DeepMind engineers explain · blog.google
- Updated production-ready Gemini models, reduced 1.5 Pro pricing, increased rate limits, and more · developers.googleblog.com
- Prompt Caching in the API · openai.com
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
Gemini 1.5 Pro context window 1 million tokens long context official Google documentation code repository context caching OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
GPT-4o 128k context window official OpenAI API documentation prompt caching context window OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 |