Claude by Anthropic

A family of foundational AI models

5.0•678 reviews•

41K followers

A family of foundational AI models

5.0•678 reviews•

41K followers

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LLMs

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AI Chatbots

We're an AI research company that builds reliable, interpretable, and steerable AI systems. Our first product is Claude, an AI assistant for tasks at any scale.

Claude by Anthropic Reviews

The community submitted 678 reviews to tell us what they like about Claude by Anthropic, what Claude by Anthropic can do better, and more.

5.0

Based on 678 reviews

Review Claude by Anthropic?

Reviewers mostly see Claude as a top choice for reasoning-heavy work, especially coding, long documents, debugging, writing, and research. Users repeatedly praise its human-sounding tone, strong context handling, clear structure, and lower hallucination risk, with many saying it beats ChatGPT or Gemini for complex tasks. Makers of

Warp

Netlify

, and

Wordware

also back it for long-context reasoning and agent workflows. Main complaints are message or token limits, occasional wordiness, some UI and app rough edges, and weaker image vision.

+680

Summarized with AI

Pros

AI assistant (84)

code generation (59)

contextual understanding (37)

reasoning capabilities (37)

data analysis (20)

creative writing (19)

nuanced responses (18)

fast performance (13)

ethical AI (11)

natural language understanding (9)

Cons

message limits (11)

typography issues (8)

contextual understanding (2)

Pros

Cons

Reviews

All Reviews

Most Informative

used

Claude by Anthropic

to build Readsss

•3 reviews

Translation services, text completion services, and general development help.

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1yr ago

used

Claude by Anthropic

to build Omnifact

•5 reviews

Shoutout to Claude and the team at Anthropic. Their ongoing competition with OpenAI is pushing generative AI forward, making these tools more accessible and feature-rich. By challenging each other, they're driving down costs and improving capabilities across the board. This kind of competition benefits everyone in the long run.

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1yr ago

used

Claude by Anthropic

to build HEYHEY

•3 reviews

Claude has been helpful beyond belief with its new 3.5 Sonnet model. It helps us with front end updates and aids us to push as many features as possible for our users. As a small team of two, it's life changing to have Claude on the side when there's no time other alternative.

What's great

AI assistant (84)

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1yr ago

used

Claude by Anthropic

to build Vocaldo AI

•13 reviews

We used Claude AI, to work on the landing page, edits on design and debugs.

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1yr ago

used

Claude by Anthropic

to build Zenquiz.app

•4 reviews

Zenquiz started with GPT-3 but as Anthropic released their Anthropic LLMs, I have happily switched. The pricing is great and I am very glad it is usable with Vercel's AI SDK.

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1yr ago

used

Claude by Anthropic

to build Cirroe AI

•3 reviews

Got some amazing responses to prototype the demo from 3.5 sonnet. I'm definitely very impressed with the ode generation quality and image ingestion capabilities. Saw definite gains for complicated tasks over gpt-4o.

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1yr ago

used

Claude by Anthropic

to build AyeHigh

•6 reviews

Very great at content writing. Help us built a powerful GenAI Workflow to achieve our best results.

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1yr ago

used

Claude by Anthropic

to build Moneystack

•4 reviews

It works sooooo well! We are very happy with the results so far.

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1yr ago

used

Claude by Anthropic

to build VeedoAI

•8 reviews

We're leveraging the embedding and Vision models to provide core features to our users.

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1yr ago

Octomind

•17 reviews

Disclaimer: We are on the waitlist and haven't used it actively...But if Claude 2 can deliver on the promised features, it will be a game-changer: 4X cheaper than GPT-4-32k is a big selling point as we are running agent strategies in production, which costs a lot. The better performance across multiple benchmarks, including math, coding, and reasoning, could be decisive for our use case: writing, maintaining, and healing end-to-end tests for UI. From our experience, achieving SOTA and tractable, consistent performance simultaneously in these functional areas is complex and could be a unique achievement. Code that does what it is supposed to and compiles is significantly more complex than letting the LLM hallucinate more creative answers. Compilers don't like creativity ;) But the most important innovation is increasing the context length. So far, we always had to work on stripped-down versions of HTML, with 100k and 200k context that would change and should yield significantly better results. Congrats on your launch; keep on innovating! We can't wait to try it out!

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