Which AI model is best for research?

Models with strong reasoning depth and long context windows excel at research. Frontier models with 1M+ context windows can process entire papers and datasets in a single prompt.

Can AI models handle 100+ page documents?

Yes. Several models now support 1M+ token context windows, enough for hundreds of pages of text.

Guide

Best AI Model for Research & Analysis

Deep research, literature reviews, data synthesis, and complex analysis. Find models that think deeply and handle long documents.

Top Recommended Models

Claude Opus 4.6

Anthropic · frontier

95/100

Reasoning9.5/10

Long Context9.5/10

Factuality9.5/10

Coding10/10

Creativity9/10

$5/1M in$25/1M out1000K context

Long codebase analysis with 1M beta context windowHigh-stakes document analysis where accuracy is criticalConstitutional AI research and alignment-sensitive applicationsThe most expensive frontier model at $5/$25 per million tokens

GPT-5.4

OpenAI · frontier

94/100

Reasoning9.5/10

Long Context9.5/10

Factuality9.5/10

Coding9.5/10

Creativity9/10

$2.5/1M in$15/1M out1000K context

Multimodal analysis combining text, images, audio, and video in a single turnResearch and analysis tasks requiring near-perfect factuality and citationExpensive at scale — 6x the cost of GPT-5.4-mini for marginal quality gains on simpler tasks

Gemini 3.1 Pro

Google · frontier

92/100

Reasoning9.5/10

Long Context9.5/10

Factuality9/10

Coding9/10

Creativity8/10

$2/1M in$12/1M out1049K context

Multimodal analysis combining video, audio, images, and textResearch and analysis tasks where self-verification improves accuracyPreview model — API may change, behavior may shift between versions

Claude Sonnet 4.6

Anthropic · frontier

90/100

Reasoning9/10

Long Context9/10

Factuality9/10

Coding9.5/10

Creativity8.5/10

$3/1M in$15/1M out1000K context

Complex document analysis and structured extraction over long contextsGap vs Opus is visible on the hardest SWE-bench problems and complex refactors

Gemini 2.5 Pro

Google · frontier

90/100

Reasoning9/10

Long Context10/10

Factuality9/10

Coding8.5/10

Creativity7.5/10

$1.25/1M in$10/1M out1049K context

STEM research requiring thinking-mode reasoning with groundingMulti-document synthesis and comparison across hundreds of sourcesData analysis with native code execution for verificationThinking mode increases latency significantly (5-20s for complex queries)

Pricing Comparison

Model	Input $/1M	Output $/1M	Context	Score
Claude Opus 4.6	$5	$25	1000K	95
GPT-5.4	$2.5	$15	1000K	94
Gemini 3.1 Pro	$2	$12	1049K	92
Claude Sonnet 4.6	$3	$15	1000K	90
Gemini 2.5 Pro	$1.25	$10	1049K	90

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