Do long prompts cost more?

Yes, linearly: a prompt bills every input token at the model's rate, so a full million-token context is a million input tokens. The pre-send estimate shows the number before you commit.

Is a bigger window always better?

No. Models differ in how well they use depth, and past a point a focused excerpt beats a full dump. Test with your own long document: run the same question on two picks in parallel tabs.

How do I get a whole folder into context?

Files in Drive are referenceable in any chat, so a folder of PDFs or a repo export becomes context without copy-pasting; agents can read entire folders and cite what they used.

All roundups

Best of

Models that hold the whole thing.

Ranked by the context window in the live catalog, from million-token readers to a two-million-token outlier, priced per token.

Last reviewed July 16, 2026

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Long context turns retrieval problems into reading problems: a whole codebase, a book manuscript, or a discovery archive goes into one prompt instead of a pipeline. The catch is billing, because a long prompt bills every input token, so each pick's live price matters as much as its window. Both render beside each pick from the catalog.

How we pickedPicks are ordered by the context window recorded in the live model registry (the same number the spec line beside each pick renders), then filtered for benchmark standing, because a large window only pays off if the model stays accurate deep into it. The in-app cost estimate prices a long prompt before you send it.

The picks

1Grok 4.20The largest window in the catalog.

$1.25 in / $2.50 out per M tokens · 2M context

Roughly two million tokens of context, double the million-token class: entire monorepos or multi-year archives in a single prompt.

Best for: The biggest single-prompt jobs.

2Gemini 3.1 ProThe proven million-token reader.

$2 in / $12 out per M tokens · 1.0M context

The line that made million-token context normal: strong recall deep into the window, plus image input for mixed documents.

Best for: Research sets, books, and mixed media.

3GPT-5.6 SolFrontier reasoning at full length.

$5 in / $30 out per M tokens · 1.1M context

A million-token window attached to top-lane benchmark standing: the pick when the long input needs hard thinking, not just recall.

Best for: Hard reasoning over long inputs.

4Claude Opus 4.8The codebase reader.

$5 in / $25 out per M tokens · 1M context

A million tokens plus the coding lane's top standing: repo-scale review and refactor planning in one conversation.

Best for: Whole-codebase analysis and review.

5Kimi K3The long-context specialist.

$3 in / $15 out per M tokens · 1.0M context

From the lab that made long context its signature: a million-token window with image input at mid-tier prices.

Best for: Long-document chat below frontier prices.

6DeepSeek V4 FlashThe million-token budget pick.

$0.09 in / $0.18 out per M tokens · 1M context

A million-token window in the free lane: long inputs at the lowest possible price, which changes what you bother to attach.

Best for: Long inputs on a budget, or none.

Frequently asked

Run them in one workspace

Drive

Folders, previews, and lightweight versioning for AI work.

Multi-Model Chat

GPT, Claude, Gemini, Grok, Llama: pick mid-conversation, cheapest-first.

Keep comparing

Models that cite what survives.The models writers actually keep.The models that ship working code.

Judge them on your own prompt

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