Updated October 2026

Best AI for Long Documents

Books, contracts, transcripts, codebases — which AI handles the giant context without losing the middle.

Compare them in MultipleChat

One prompt, four answers side by side: ChatGPT, Claude, Gemini and Grok in Compare Mode

Long-document work tests context window, attention quality, and the 'lost-in-the-middle' problem — where a model technically accepts a huge input but pays less attention to the middle of it. The four models differ a lot here.

If you're routinely working with PDFs over 50 pages or transcripts over 10,000 words, the model you choose actually matters.

Biggest context, strongest attention

Gemini wins for long documents

Google has pushed context length further than the other labs, and Gemini's very large window means a full book, a stack of contracts or a codebase usually fits in one go, with strong attention across it. Claude wins on faithfulness when the document fits comfortably in its own large window, which most professional documents do.

Try this prompt

Here is a 400-page document. Output: 1) one-paragraph executive summary, 2) 8 key claims with page references, 3) any internal contradictions, 4) the 3 sections most important to revisit, 5) what's missing.

ChatGPT, Claude, Gemini and Grok, ranked

1

Gemini (Google) recommended

Score 9.5/10

Strength

Largest practical window of the four; strong attention across long documents; also reads video.

Weakness

Slower on very long inputs.

When to use

Books, codebases, multi-document analysis, video.

2

Claude (Anthropic)

Score 9.3/10

Strength

Best output quality per token; least likely to invent.

Weakness

For book-length or many-file inputs, Gemini has more room.

When to use

Most professional long-doc work — reports, contracts, transcripts.

3

ChatGPT (OpenAI)

Score 8.4/10

Strength

Reliable on everyday long docs; can search uploaded files for the relevant parts.

Weakness

Less faithful than Claude on very long inputs in our testing.

When to use

Most everyday docs; not for whole books.

4

Grok (xAI)

Score 7.6/10

Strength

Strong on documents that fit; punchy summaries.

Weakness

Less long-document-specialised than Gemini or Claude.

When to use

Shorter long-form.

Ranking reviewed October 2026 against each provider's current flagship models: OpenAI GPT-6.1 Sol and GPT-6 Astra, Anthropic Claude Opus 5.5 and Sonnet 5.5, Google Gemini 4 Argon and xAI Grok 4.7. Scores are our editorial judgement of typical results for long documents, not a published benchmark.

What we actually measure for long documents

Context window

How much can you paste in one go?

Lost-in-the-middle

Does it actually use the middle of long inputs?

Faithfulness

Does the output stay true to the source?

Multi-doc handling

Can it compare across documents?

FAQ

Best AI for a 300-page PDF?

Claude or Gemini: a 300-page PDF fits in either. Claude tends to give the more faithful summary; Gemini handles larger stacks of files. Run both side by side in MultipleChat for the cross-check.

Can I really upload a whole book?

Usually, yes. Gemini has the most room for book-length input. Answers stay best when you ask one focused question per chat.

What's the trick to long-doc summarisation?

Ask structured questions, not 'summarise this'. A structured prompt like the one above usually beats a bare summary request.

How do I avoid hallucinations?

Ask for page or line references. The honest models will admit when they don't have one.

Cross-check a long document with two models.

Compare Mode sends one prompt to ChatGPT, Claude, Gemini and Grok and shows the answers in parallel columns, so you can check this ranking on your own documents. The $20/month Pro plan includes all four, plus Perplexity.

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Also see: Best AI for summarising · Which AI should I use? (quiz) · Best AI for other tasks · AI for your profession

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