The best Claude alternatives for long documents in 2026

Long documents are where an assistant's limits show: a contract with its schedules, a year of board minutes, a thesis and its sources. Claude is Anthropic's AI assistant, on the web, desktop and mobile. This guide is for people weighing alternatives for long material: what to look for, why we put Raven first, and the other assistants worth a look, each described from its own pages. We make Raven, so read our pick as our view.

What should you look for in an AI for long documents?

• A window that holds the whole thing. The context window is everything a model can see while it answers. When the document and the conversation fit, the first page is still in view at your last question.
• Room to write the answer. A full summary, a report or a rewritten section needs a long output, in one piece rather than in fragments.
• Files that come back. Long work usually ends in a document, a deck or a sheet, not a chat message.
• Memory across sessions. Long projects run over days. The assistant should keep the facts that matter, and you should be able to edit them.
• A test you can run. Ask about a detail you know sits near the end, and see whether the answer has it.

Why do we put Raven first for long documents?

Because both of our models are built with room for it. Raven Max and Raven Flash each read up to 1M tokens of context and write up to 128K tokens in one answer, the figures on our Models page. What a window that size holds in practice is in our story on the 1M-token context window.

Choose the model by the thinking the task needs. Raven Max is our flagship for deep reasoning and long-horizon work; Raven Flash is built for low latency and high volume. In our published results, which are company-reported and evaluated with maximum reasoning effort, Raven Max placed first among the models compared on Agent's Last Exam, a test of long-horizon reasoning over many dependent steps, at 39.5, 7.9 points ahead of Fable 5.

What does Raven do with a long document?

• Read it. Paste the text into the chat, or paste a link and Raven reads the page before it answers.
• Turn it into a file. Ask for the result in the format you need, and Raven makes a real .docx, .pptx, .pdf or .xlsx in the chat. Our story on files shows how.
• Remember the project. Raven keeps lasting facts across chats, such as the client, the project and how you like a summary, and you can see, edit and clear them in Settings.
• Bring in a colleague. Share the chat as View only, to read along, or Collaborate, to take part.

Can I process long documents through the API?

Yes. The same models answer through the DipoleML API, with the same 1M-token window. Input is billed per token: $0.50 per 1M input tokens on Raven Flash and $1.25 on Raven Max, so a full 1M-token window read once on Raven Flash is $0.50 of input. The part of your input that is already cached is billed at $0.05 per 1M tokens on Raven Flash, and a long document you send again is where that helps most.

Which other assistants work with long documents?

Each is described here only as its maker describes it, and their own pages have the details.

• Claude, from Anthropic, runs on the web, desktop and mobile, and its pricing page lists a Free plan.
• ChatGPT is made by OpenAI, and its pricing page lists a Free plan, for everyday tasks.
• Gemini is Google's AI assistant, on the web and on mobile, and its plans page lists a tier that is free of charge.
• Microsoft Copilot is Microsoft's AI assistant, on the web, desktop and mobile. A free tier is available with a Microsoft account.

How do I switch?

1. Create a free account from the Raven page.
2. Paste the long document you know best, and ask about a detail near the end.
3. Ask for the result as a file, in the format you need.
4. Add the facts Raven should keep about your work to your memories in Settings.

Plans are on the pricing page, and the file formats are in the Files and documents guide. For documents at volume, the API quickstart walks you through your first request.

Product names are trademarks of their owners and are used here only to identify the products.