Best AI Models for Research & Analysis
Compare AI models for research tasks — analyzing documents, synthesizing information, answering expert questions. Find the best AI for academic and professional research.
Our Top Picks
The 2M token context window is a game-changer for research. Upload entire books, research papers, or datasets and ask questions across the full corpus.
Excellent reasoning, GPQA score of 65.0 (graduate-level questions), and a 200K context for long documents.
1M context window at a fraction of the cost. Ideal for processing large document collections affordably.
What We Looked At
- GPQA benchmark
- Context window
- Reasoning depth
- Citation accuracy
- Multimodal (PDF, images)
GPQA: graduate-level research questions
GPQA (Graduate-Level Google-Proof Q&A) measures performance on expert-level science questions that Google can't answer directly. Claude Sonnet scores 65.0%, making it the top pick for domain-expert tasks.
Processing long documents
Gemini 1.5 Pro's 2M token context is unmatched — it can process a 1,500 page book in a single prompt. For research that requires analyzing entire corpora, this is the only choice at scale.
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