Claude by Anthropic

A family of foundational AI models

5.0•635 reviews•

36K followers

A family of foundational AI models

5.0•635 reviews•

36K 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 635 reviews to tell us what they like about Claude by Anthropic, what Claude by Anthropic can do better, and more.

5.0

Based on 635 reviews

Review Claude by Anthropic?

Claude by Anthropic draws strong praise for reasoning, coding, and long-context work, with many switching from rivals for more precise, human-like responses. Maker feedback is especially enthusiastic: the makers of

Bubble

rely on Claude for prototyping and early app builds; the makers of

Lovable

report excellent performance powering their product; and the makers of

Zapier

highlight reliable tool use via MCP across thousands of actions. Common wishes: fewer message limits, smoother artifacts/UX on desktop, and steadier revision behavior. Overall: reliable, thoughtful, and superb for code.

+637

Summarized with AI

Pros

AI assistant (81)

code generation (56)

contextual understanding (35)

reasoning capabilities (35)

data analysis (18)

creative writing (17)

nuanced responses (17)

fast performance (11)

ethical AI (10)

long context windows (7)

Cons

message limits (11)

typography issues (8)

contextual understanding (2)

Pros

Cons

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Founder Reviews (587)

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used

Claude by Anthropic

to build Super

•8 reviews

Claude by Anthropic has been instrumental in building Super. The team chose Claude as the primary language model because of its superior reasoning capabilities and contextual understanding. Claude powers Super's core features including cross-platform search, source explanations, and document analysis with remarkable accuracy. The development team made specific prompt engineering improvements for Claude, including better system prompting and JSON handling to maximize its performance. Claude's ability to handle complex queries and provide chain-of-thought reasoning has enabled Super to deliver 8x more relevant results than regular AI search. We considered OpenAI or Gemini, but we use them as fallbacks.

What's great

AI assistant (81)data analysis (18)contextual understanding (35)reasoning capabilities (35)

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159 views9mo ago

used

Claude by Anthropic

to build Params Editor for Chromium Browsers

•3 reviews

Claude was the unsung hero behind much of Params Editor's core functionality. With its direct implementation style and practical approach to problem-solving, Claude handled the majority of feature development with remarkable efficiency. One of the most pleasant surprises came when Claude accidentally implemented hot reloading while setting up the development environment—a feature I hadn't even requested but that saved countless hours during development! When other AI assistance reached its limits, Claude consistently stepped in to maintain development momentum, demonstrating an impressive ability to understand the project's vision and translate it into functional code.

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74 views9mo 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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57 views2yr ago

•1 review

What's great

code generation (56)contextual understanding (35)creative writing (17)reasoning capabilities (35)

Claude Sonnet 4.6 is the backbone of our entire platform, Humans.Team. Over 85 development sessions, Claude Code (powered by Sonnet) built 90% of our Next.js application — from Supabase database architecture and Row Level Security policies to AI journal integration, real-time notifications, PWA offline support, and a bilingual FR/EN system across 30+ pages.

What sets Sonnet 4.6 apart is its ability to hold deep context across long sessions. It remembers architectural decisions from hours ago, understands our codebase patterns, and writes production-ready TypeScript that rarely needs fixing. The reasoning is exceptional — it debugs complex issues by tracing through multiple files and connections.

We also use Claude Desktop daily for content strategy, press releases, blog articles, and bilingual copywriting. The nuance in both French and English is remarkable.

What needs improvement

Context window limits can be frustrating during very long sessions — the conversation gets compressed and some earlier decisions are lost. Also, occasional over-eagerness to add unnecessary abstractions or comments when a simple fix is all that is needed. But these are minor compared to the massive value it delivers daily.

vs Alternatives

We evaluated ChatGPT, GitHub Copilot, and Gemini. Claude won on three fronts: superior code quality with fewer hallucinations, exceptional long-context understanding (critical for our 85+ session codebase), and genuinely better bilingual output in French and English. The Claude Code CLI is a game-changer — it reads files, edits code, runs commands, and thinks through problems autonomously. Nothing else comes close for building a full-stack application from vision to production.

How strong is vision and image understanding on real documents?

Extremely strong. We regularly feed Claude screenshots of our live website, Supabase dashboard tables, browser dev tools, error messages, and even PDF press documents. It reads them accurately every time — understands layout, hierarchy, text content, and even subtle details like CSS spacing issues or misaligned elements. For our bilingual platform, it reads both French and English text in images without confusion. I have compared it with GPT-4o vision and Claude is more reliable at understanding context within screenshots, especially for technical content like code editors and database schemas.

Are there limitations with image outputs or rendering?

Honestly, very few limitations in practice. Claude reads screenshots, UI mockups, PDF documents, diagrams, and handwritten notes with impressive accuracy. We use it daily to analyze our web app screenshots — it identifies layout issues, reads text in images, and understands UI component hierarchy. The only real limit is it cannot generate images, but for understanding and analyzing visual content, it is the best I have used. It even reads code from screenshots accurately when I need to share something quickly.

How does Claude compare to peers for creative writing quality?

Claude is our go-to for all content creation on Humans.Team. It writes our blog articles (64 published, bilingual FR/EN), press releases, product descriptions, and daily AI journal entries for our members. The writing quality is noticeably superior to ChatGPT — more natural, less formulaic, with genuine voice and personality. In French especially, Claude captures nuances, idiomatic expressions, and tone that GPT often misses. For our press kit and founder story (10 years of research, 4 philosophical books), Claude understood the emotional depth and translated it into compelling copy without the typical AI blandness. It writes like a thoughtful human, not a text generator.

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1 view19h ago

•1 review

What's great

fast performance (11)code generation (56)contextual understanding (35)reasoning capabilities (35)

Claude stands out for its clarity of reasoning and structured thinking. The contextual understanding feels deliberate and less reactive compared to many alternatives, which makes it especially strong for code generation, system design discussions, and long-form analysis.

I use it heavily for technical problem-solving, architectural thinking, and refining complex ideas. The ability to maintain nuance across longer conversations is a major advantage.

From a builder’s perspective, it’s one of the most reliable assistants for reasoning-heavy workflows.

What needs improvement

message limits (11)

Higher message limits and better conversation search would make it even more powerful for deep project sessions.

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15 views2d ago

•1 review

What's great

AI assistant (81)contextual understanding (35)reasoning capabilities (35)

Claude is super smart, easy to work with, and great at staying on track even with complicated questions. It writes really well and feels thoughtful compared to some other chatbots. Sometimes it’s a bit overly careful, but that also means I can trust its responses more. Definitely one of the best AI assistants out there.

What needs improvement

contextual understanding (2)

It also doesn’t always know the latest information, and its answers can occasionally feel wordy or generalized.

vs Alternatives

ChatGPT by OpenAI Gemini

Gemini

I picked Claude because it feels thoughtful, clear, and helpful in its responses. It handles complex tasks well without being overwhelming, and its emphasis on safety and reliability makes it easy to trust for everyday use.

Are there limits on daily messages or rate caps?

As a user, I haven’t run into strict daily message limits, but there are rate caps if I send a lot of messages very quickly. For normal use, it feels unlimited, but heavy or automated usage can hit throttles. Overall, limits aren’t a problem for regular conversations.

Does Claude work offline or require constant internet?

Claude requires an internet connection, so it doesn’t work offline. As long as my connection is stable, it’s reliable, but there’s no offline mode for times without internet.

What differences between Opus, Sonnet, and Haiku matter most?

The biggest differences that matter to me are reasoning quality, speed, and cost. Opus is the best when I need deep thinking or detailed writing, but it’s slower and more expensive. Sonnet is the best all-around choice for everyday tasks. Haiku is super fast and cheap, which is great for quick questions or simple summaries. I pick based on how much “brainpower” the task really needs.

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518 views3mo ago

•3 reviews

What's great

contextual understanding (35)creative writing (17)

I am a marketer and content writer myself, and Claude has become the one LLM that's actually worth paying money for. I find that it's better for long, more complex texts and copy, rather than for short marketingey stuff. It understands context really well, and once you invest some more time into writing an elaborate prompt – the output is usually great. Still needs some tweaking, but saves me loads of time. ChatGPT doesn't even come close.
The biggest advantage over other LLMs, in my opinion, is that the output really does sound human, and (if you do a good enough prompt with some examples) it doesn't use the classic generic phrases like "In today's world" and "Here's the thing".

vs Alternatives

ChatGPT by OpenAI

More human, less generic text. More reliable.

How well does Claude generate and debug complex codebases?

I only really tried to create some visual elements like tables in HTML. It wasn't perfect on the first try, but after giving around 2 rounds of feedback I got the result.

What differences between Opus, Sonnet, and Haiku matter most?

No idea, I only use the pre-set one, which does the job with all types of content.

Ratings

Ease of use

Reliability

Value for money

Customization

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305 views3mo ago

•3 reviews

What's great

context aware (6)code generation (56)contextual understanding (35)creative writing (17)nuanced responses (17)reasoning capabilities (35)

The one AI tool I use daily. Great for code, solid for writing, and it remembers what we're working on.

How well does Claude generate and debug complex codebases?

Claude is very good at understanding and reasoning about code. It’s most useful for debugging, refactoring, and reviewing complex logic, especially when you treat it as a coding partner.

How quickly does it respond under heavy workloads?

Fast enough that it doesn't break my flow, even with more complex prompts. Under heavier workloads it may slow down slightly, but it remains responsive and consistent enough.

How well does it maintain context across long multi-step sessions?

Holds context well within a session. I can reference earlier decisions, and it keeps up. I don't have to repeat myself, even in longer working sessions.

Ratings

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195 views25d ago

•3 reviews

What's great

AI assistant (81)

Seems like an upgrade to OpenAI's solution.

What needs improvement

While Claude Opus may be great for writing code, it's still not a perfect vibe coding solution. You may need to use a combination of LLMs to figure out what's best for the product you're trying to code. Although on its own, it still gets you 75% of the way.

vs Alternatives

Being the new kid on the block, I had to give it a go to see why everyone has been raving about it. Seems like the raving reviews were correct. It feels as though Claude's responses are more thorough in comparison to other solutions.

How quickly does it respond under heavy workloads?

It's pretty solid under heavy workloads.

Can it analyze large PDFs and CSVs without failing?

For the most part it analyzes large files pretty well.

How easy is setup on iOS, Android, web, and desktop?

It's as seamless as it gets, but this is the case for most LLMs nowadays.

Ratings

Ease of use

Reliability

Value for money

Customization

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142 views1mo ago

•3 reviews

Claude by Anthropic has taken a major leap for quant data applications with its new built-in analysis tool, allowing users to write and execute JavaScript code directly within the Claude.ai interface. This enables real-time, precise, and reproducible data analysis—think of it as having a code sandbox for advanced number crunching, data cleaning, and iterative exploration, all powered by Claude’s state-of-the-art language and coding capabilities. Users can now upload CSVs, process raw datasets, run complex mathematical computations, and generate visualizations, making Claude a powerful companion for tasks ranging from financial modeling and sales analytics to engineering dashboards and product insights. The tool is accessible to all users in feature preview, democratizing advanced data workflows and moving Claude beyond abstract reasoning into the realm of concrete, actionable quant analysis.

What's great

AI assistant (81)code generation (56)data analysis (18)

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40 views10mo ago

•23 reviews

Claude is seriously impressive – it feels like chatting with a thoughtful, well-read friend who’s also a genius coder. It handles long documents like a champ (think 200K+ tokens), gives nuanced answers, and doesn’t just summarize – it actually understands. I’ve used it for writing, editing, research, and even debugging code, and it rarely misses. What I really love is how calm and conversational it feels – less robotic, more human. Sometimes it can get a bit wordy, but I’d rather have that than dry, one-liner replies. If you care about clarity, reasoning, and a solid mix of creativity and logic, Claude is easily one of the best out there.

What's great

AI assistant (81)code generation (56)long context windows (7)contextual understanding (35)creative writing (17)nuanced responses (17)

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34 views11mo ago

•9 reviews

Here's a strategic review of Claude 3 (latest version): Claude 3 stands out with its exceptional context handling and analytical capabilities. Having used it extensively, here's what matters: Key Strengths: Superior code understanding: Remarkably accurate for debugging and development assistance Data analysis prowess: Excels at complex visualization tasks and data-rich queries Contextual awareness: Maintains conversation flow and relevance throughout long exchanges Nuanced responses: Provides thoughtful, well-reasoned answers that demonstrate understanding Performance improvements: Enhanced reasoning capabilities over previous versions More accurate technical analysis Faster response times Better handling of complex, multi-step tasks Areas for consideration: Message limits on Pro tier could be more flexible Typography interface elements could be refined Currently using it for code review, data analysis, and technical documentation. The accuracy and depth of responses consistently exceed expectations. Notably efficient for developers and analysts who need precise, contextual assistance. Upvoted for pushing AI capabilities forward. 🚀

What's great

fast performance (11)data analysis (18)contextual understanding (35)nuanced responses (17)reasoning capabilities (35)

What needs improvement

typography issues (8)message limits (11)

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29 views1yr ago

•3 reviews

As a software developer, I've had the opportunity to work with various AI assistants, and I must say that Claude by Anthropic stands out from the crowd. While my opinion may be slightly biased due to my background, I believe Claude deserves a solid 4 out of 5 stars for its impressive capabilities. Claude outperforms other leading AI assistants like ChatGPT, Gemini, and Llama 3.1 in several key areas . Its human-like responses and exceptional coding capabilities are particularly noteworthy . The way Claude understands context and generates code is truly remarkable. However, there are a couple of areas where Claude could improve. The pricing of its API can be a limitation for developers who want to use it extensively for coding purposes . This may hinder its widespread adoption in the programming community. Additionally, while Claude's context window of 200k tokens is substantial, it's worth noting that Gemini can handle up to 2M tokens , which could be advantageous in certain scenarios. While there is room for improvement in terms of pricing and token capacity, its overall performance and ethical standards make it a strong contender in the market. I'm excited to see how Anthropic continues to enhance Claude's capabilities in the future.

What's great

code generation (56)ethical AI (10)contextual understanding (35)

What needs improvement

long context windows (1)

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33 views1yr ago