Claude

Name: Claude
Author: Anthropic

by AnthropicChat & reasoning4.9

Claude is the assistant to reach for when the input is long and the output has to read well. A 200K-token context window means you can hand it a whole set of internal documents, meeting logs or research transcripts at once and get structured output back. Its Japanese output is also why a lot of teams here standardise on it for drafting.

Commercial use OK
Japanese UI
Free tier
Enterprise contract

Try Claude on the official site$20/mo

Pricing: $20/mo
Free tier: Free tier
Category: Chat & reasoning
Vendor: Anthropic
Commercial use: Permitted
Japanese UI: Yes
Enterprise contract: Available

What it is good for

Product copy and error messages that have to match a brand voice
Summarising user research transcripts and pulling out the insight
Reviewing design intent and responding to review comments
Generating and maintaining design-system documentation

Strengths and trade-offs

Strengths

200K-token context — roughly two to four times what competitors offer
Holds a consistent tone from a single example, including in Japanese
Reliable structured output: JSON, tables, Markdown
Claude Design can sketch screen ideas inline

Trade-offs

Feels slower than GPT on short, simple edits
No native image generation
Desktop app lags the web version on new features

Editors' review

Reads long inputs properly and shows its reasoning — the chat AI that gets the most real work done

If the job is to read a large input and come back with an accurate summary or extraction, Claude is currently the most dependable choice. The 200K-token window is two to four times what most competitors give you, so an entire document set, meeting archive or log file can go in as-is and come back structured. Anthropic's own model cards lean on long-context performance consistently, and it holds up in practice.

The quality of its Japanese is the other reason it gets picked. Give it a tone to hold and it holds it — noticeably better than the GPT family at not drifting mid-document, which is why a draft-with-Claude, finish-by-hand flow works well for internal email, newsletters and ad copy aimed at Japanese readers.

The weak spots are latency and anything involving images or audio. For short back-and-forth exchanges GPT-4 mini is faster, and there is no native image generation. Claude Design, the UI-sketching feature, is new and still limited next to v0 or Figma AI. For breadth, GPT wins; for depth on long text, Claude does.

Verdict

For writing, research and document work — especially in Japanese — this is the first thing to try in 2026. Start on Pro and give yourself a month to judge whether the value is there.

Compiled from official documentation and public sources, with our own editorial judgement. We do not publish figures we cannot source.