To swallow 500 pages at once,
Gemini 3.1 Pro and its 2 million tokens.
2M of real, usable context: Gemini plays in another league for massive document analysis.
When your corpus exceeds 200,000 tokens — a book, a full audit, a hundred contracts — Gemini 3.1 Pro is the only generalist model that keeps the promise. Needle-in-a-haystack tests stay above 95% across the full window. Claude holds well up to 500K, ChatGPT plateaus around 400K.
« 2 million tokens, Workspace integration, native video input. The only one to handle massive corpora. »
« 500K of context held with higher fidelity. Preferable for editorial prose on the way out. »
« To target a question inside an already indexed public corpus, faster and sourced. »
Long context changes the nature of the work: you no longer extract, you query. A lawyer loads 80 procedural files; an analyst, the annual report and three comparative years; a researcher, a thesis bibliography. The right tool is no longer the one that answers best — it is the one that retains the most.
An answer engine, not a chatbot. Sources cited by default, clean academic mode — indispensable for monitoring.
Cursor turned coding into team work. Claude remains the default reasoning engine.
Style, nuance and calibrated refusals: three months after launch, Opus 4.7 keeps the editorial edge.
Six questions, two minutes. Personalized verdict based on your real constraints — price, GDPR, context, code.