Context window size determines how much of a document an AI can read in one shot. Gemini 3.1 Pro leads with a 2M token window — enough for an entire novel or large codebase. Claude Opus 4.7 and GPT-5.5 both offer 1M token windows. For most document analysis tasks, Gemini 3.1 Pro is the strongest pick.
The shortest way to see the safest default, the lower-cost option, and the specialist pick before you read deeper.
Gemini 3.1 Pro is the safest overall answer here when you want the strongest default instead of the lowest list price.
Switch the scoring lens to see whether the top answer changes when you care more about cost, speed, or long-document work.
Google / Premium / Mar 23, 2026
Best for research and deep document analysis — 2M context at the best premium price.
Ranks models by the broadest mix of coding, writing, research, and long-context usefulness.
Your primary use case is writing quality or agentic coding — Claude wins both.
The fastest way to see where the recommendation shifts when your priority changes.
2M token context window — the largest of any frontier model
Leads ARC-AGI-2 reasoning benchmark at 77.1%
Best price-to-performance among premium models at $2/$12 per 1M tokens
Slower than Flash for everyday lightweight tasks
Claude Sonnet 4.6 is better for writing quality
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Gemini 3.1 Pro has the largest context window at 2M tokens (approximately 1.5 million words). Claude Opus 4.7, Claude Sonnet 4.6, and GPT-5.5 all offer 1M token windows.
Yes — modern AI models can read very long documents. A 300-page book is roughly 150K tokens; Gemini 3.1 Pro, Claude, and GPT-5.5 can all read it in one pass. For larger documents (entire codebases, legal archives), Gemini 3.1 Pro's 2M window is necessary.
Claude Sonnet 4.6 or Claude Opus 4.7 are the strongest for legal document analysis — they follow precise instructions, avoid hallucination, and handle 1M token contracts. Gemini 3.1 Pro is preferred when the document exceeds 1M tokens.
Google: Gemma 2 9B is the lower-cost option to start with when you still need useful output at scale.
Gemini 3.1 Flash is the better pick when response speed matters more than maximum reasoning depth.
Gemini 3.1 Pro is the best long-document model in the current directory.
GPT-5.4 is the better pick when the final answer needs stronger judgment than raw context depth.
Gemini 3.1 Flash is the lower-cost fallback when the source set is large but not enormous.
Use Gemini Pro for large docs, transcripts, and knowledge-heavy workflows.
Use GPT when interpretation quality matters more than max context.
Use Flash for cheaper long-document support with lighter stakes.
