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.
DeepSeek R1 is the lower-cost option to start with when you still need useful output at scale.
Claude Opus 4.7 is the better pick when response speed matters more than maximum reasoning depth.
Gemini 3.1 Pro leads with a 2M token context window — the largest of any frontier model.
Claude Opus 4.7 and GPT-5.5 both offer 1M token windows with strong synthesis quality.
Claude Sonnet 4.6 gives 1M context at $3/1M input — the best cost-to-quality ratio for document work.
Choose Gemini 3.1 Pro when processing documents larger than 1M tokens (very large codebases, full case files).
Choose Claude Opus 4.7 or Sonnet 4.6 when document synthesis quality matters more than raw window size.
Choose GPT-5.5 when your workflow is OpenAI-native and you need 1M context with Codex integration.
Switch the scoring lens to see whether the top answer changes when you care more about cost, speed, or long-document work.
Anthropic / Premium / Mar 24, 2026
Best daily driver for coding and writing — the model most developers actually reach for.
Ranks models by the broadest mix of coding, writing, research, and long-context usefulness.
You specifically need desktop-control capabilities (GPT-5.5/GPT-5.4) or the absolute highest coding ceiling (Opus 4.7).
The fastest way to see where the recommendation shifts when your priority changes.
Best for research and deep document analysis — 2M context at the best premium price.
Previous Opus flagship, now superseded by Claude Opus 4.8 at the same price.
Best OpenAI flagship for agentic coding, research, and computer-use work.
Best daily driver for coding and writing — the model most developers actually reach for.
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
UseRightAI recommendations are based on practical decision factors people actually feel in day-to-day use.
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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.
