Claude is a next-generation AI assistant based on Anthropic's research into training helpful, honest, and harmless AI systems. Claude is capable of a wide variety of conversational and text processing tasks while maintaining a high degree of reliability and predictability. Use cases include summarization, search, creative and collaborative writing, Q&A, coding, and more. Early customers report that Claude is much less likely to produce harmful outputs, easier to converse with, and more steerable - making it more robust against prompt-based attacks. Claude can also take direction on personality, tone, and behavior - in English and many other languages.
Highlights
Claude can take on a variety of roles in a dialogue. Provide details on the role and an FAQ for common questions, and Claude will engage in relevant, naturalistic back-and-forth conversation.
With Constitutional AI built in, Claude uses a set of principles to shape its responses. We've heard from early customers that this helps manage risk and prevent prompt-based attacks.
Claude can process extensive text including documents, emails, FAQs, chat transcripts, records, and more. Based on those inputs, Claude can then edit, rewrite, summarize, classify, extract structured data, do Q&A based on the content, plus a range of other actions.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
You pay for Claude 3 Haiku in several ways. On-demand token pricing charges per million input tokens and per million response tokens. Batch processing offers separate per-million rates for batch input and output tokens. Provisioned Throughput reserves capacity at an hourly rate, with No Commit, 1 Month, and 6 Month options that trade flexibility for term length. Model customization adds charges per million customization tokens, monthly storage for the customized model, and its own Custom Model Provisioned Throughput hourly rates across the same three commitment terms. You mix these based on your usage pattern.
Top-of-mind questions for buyers
What counts toward Million Input Tokens versus Million Response Tokens on the on-demand pricing?
Input tokens are the text you send to the model, such as prompts and context. Response tokens are the text the model generates back. Each is metered separately and billed per million. A single request produces both types, so both charges appear together based on the sizes involved.
How does batch token pricing differ from standard on-demand token pricing?
Batch pricing uses separate per-million rates for batch input and batch output tokens. It processes many requests together instead of one at a time in real time. Standard on-demand tokens meter live requests. Batch suits high-volume jobs that do not need instant responses.
Am I charged when Provisioned Throughput capacity sits idle?
Provisioned Throughput bills an hourly rate for reserved capacity, not per token processed. You pay for each hour the capacity is active, whether or not you send requests. The No Commit, 1 Month, and 6 Month options differ by how long you reserve that capacity.
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Deploy Claude Code and Claude for Work across your entire organization within your own AWS account, in under 30 minutes. AllCode Nexus is a fully managed AI governance platform built on Amazon Bedrock, delivering all the capabilities of Claude Apps Gateway (SSO, spend caps, Bedrock routing, OTel metrics) as a serverless managed service with no containers or databases to maintain. Enterprise SSO, per-user token budgets, real-time spend visibility, managed MCP extensions, and complete data sovereignty. Every prompt and response stays inside your AWS environment, encrypted at rest (KMS) and in transit (TLS 1.3), with CloudTrail audit logging.
Avahi's AI Evaluator showcases how to seamlessly migrate prompts from OpenAI's ChatGPT to Anthropic models on Amazon Bedrock, with a user-friendly 1-click conversion process. Speed up GPT-to-Anthropic migration on Amazon Bedrock, cutting weeks to hours through seamless model switching, cost comparisons, and secure AI optimization with minimal disruption. This innovative tool streamlines the transition for AWS customers seeking to leverage AWS GenAI services. It offers additional features such as price comparison, model switching, and secure prompt execution within an AWS account. The AI Evaluator is designed to provide an efficient and quick migration path for users looking to transition from OpenAI's ChatGPT to AWS-based Generative AI solutions.
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Collaborating on secure system design has transformed how my team plans and codes daily
Reviewed on Jun 18, 2026
Review provided by PeerSpot
What is our primary use case?
My main use case for Claude for Enterprise is designing, architecting, and coding. I use Claude for Enterprise in design, architecting, and coding by planning modules and programming them via code. In my daily work, I use Claude for Enterprise for mockups, designs, and mainly designing the new system.
What is most valuable?
The best features Claude for Enterprise offers include Sony Claude code. Sony Claude code stands out for me when using Claude for Enterprise because it's Sony Claude code. Claude for Enterprise has impacted my organization positively a lot; people want to use it, but it's controlled.
What needs improvement?
There's limited access to Claude for Enterprise, which means it's restricted in availability.
For how long have I used the solution?
I have been using Claude for Enterprise for three years.
What do I think about the stability of the solution?
I chose that number because Claude for Enterprise has been working perfectly almost all the time for the past three years; even though it sometimes has some glitches, it works.
What do I think about the scalability of the solution?
The accuracy and reliability of the output from Claude for Enterprise are working for us. The accuracy is not perfect, but it's better than the others. In terms of reliability, it's the same thing.
How are customer service and support?
Regarding Claude for Enterprise's AI capabilities, I think it's more secure than the other models, and that's why we chose it.
What other advice do I have?
I gave Claude for Enterprise a review rating of 10.
Zeel Panya
Rapid shipping has transformed our workflow and has made weekly product launches possible
Reviewed on Apr 09, 2026
Review provided by PeerSpot
What is our primary use case?
My main use case for Claude for Enterprise is whiteboarding, working on my products, working, and debugging things.
A specific example of something I used Claude for Enterprise to debug or build recently is that we needed to solve a front-end bug where a container was exceeding the margins, and I had to replace a lot of things and change the front-end UI. I basically whiteboarded it and it worked. Then there were some bugs and we solved those bugs using Claude Code Max. We have multiple agents and plugins that we can use. I use those plugins and sorted the bugs. Now my front-end runs as smoothly as a river.
What is most valuable?
Claude for Enterprise offers the best features for me because it is not just an LLM but an AI agent, and it helps me actually get into the depths of whatever it is. It helps me navigate through the code and helps me write the code without much human interaction, so the more I invest into it, the better it is.
The feature I rely on the most day-to-day in Claude for Enterprise is code writing.
Claude for Enterprise has positively impacted my organization and my workflow because it has made our shipping very fast, so we are shipping at light speed right now. Our products are launching within a week, and our features are being shipped in a day or sometimes even less.
Claude for Enterprise has saved me or my team days; any feature that earlier used to take a week to do now gets finished in a day or two at most.
What needs improvement?
Claude for Enterprise could be better because I think it is quite expensive and even after spending $200, there are token limitations that might come up sometimes. That is a pain, but since the upsides are more than the downsides, it is bearable. It would have really helped if we had unlimited tokens or anything of that sort where my team could just not worry about wasting tokens and limits.
For how long have I used the solution?
I have been familiar with Claude for Enterprise for six months.
What other advice do I have?
I rate Claude for Enterprise overall as a 9.5 out of 10.
What makes it not a 10, but still that high, are the token limitations and the expensive cost.
My advice to someone considering Claude for Enterprise is if you can afford it, go for it.
Claude for Enterprise is perfect.
Chirag Morajkar
Automation workflows have transformed daily deliveries and now save weeks of development time
Reviewed on Apr 09, 2026
Review provided by PeerSpot
What is our primary use case?
My main use case for Claude for Enterprise is building multiple workflows, which can be coded ones. For example, I am working on an operational workflow that manages daily deliveries for the business and ensures nothing is missed. I have used Claude code to create automation for the franchisee stores of the business, and I also make sure that things are not missed.
What is most valuable?
One of the best features Claude for Enterprise offers is that there is no competitor for Claude in creating workflows at a very fast level. Whatever I want to build is completed very quickly and at a very proficient level.
Claude for Enterprise has positively impacted my organization because, as the only technical person for this business, using Claude code improves my efficiency significantly. My time consumption is heavily reduced. Rather than using any other platform, it would take me considerably more time, and the accuracy would not be as good as what Claude delivers. The reduction in time consumption makes it more possible for me to work on different solutions.
I normally say that if I had to code on any other platform to build a system, it would have taken me at least three to four weeks. With Claude for Enterprise, it has been completed in less than a week. So I save around three weeks' time for a use case.
What needs improvement?
The biggest frustration for me regarding Claude for Enterprise is the pricing and credit consumption. Even for small changes, it consumes more credits than any other competitive platform. If there are more credits, the cost increases. I believe that is definitely a factor. Claude for Enterprise has done an exceptional job in delivering all the right things except for the pricing, because it comes with a good amount of cost. If it could ensure that small changes consume fewer credits, that would be helpful.
My final thoughts on Claude for Enterprise are that with the growing use of automations, if Claude for Enterprise could come up with a no-code solution—currently it uses credits to code things—but if it could be a drag-and-drop type of solution, as other competitors such as Make.com or n8n offer, I believe that would be a huge advancement. Currently it is usable for even non-technical people, as they just have to use it with prompts, but if it were structured with a drag-and-drop method to create automation, it would be even more cost-effective and faster than coding it and finding the debugging parts.
For how long have I used the solution?
I have been familiar with Claude for Enterprise for around six months.
What other advice do I have?
My advice to someone considering Claude for Enterprise is to first understand prompting. I recommend trying as much as possible to get everything in a single prompt so that you do not use multiple prompts for smaller things, which consumes more credits in the end. Understanding prompting is very important before you use Claude for Enterprise. Second, I would recommend understanding how the credits work, including what tasks consume how much of the credits, so that you can get an idea of the costs before jumping into the paid version. I gave this review a rating of eight out of ten.
Nishant Thakkar
Data visualization and workflow efficiency improve with automated features
Reviewed on Aug 04, 2025
Review provided by PeerSpot
What is our primary use case?
I use Claude, particularly its artifact features, for data visualization. On a weekly basis, we create newsletters for our clients that require beautiful and good-looking presentations, particularly in HTML versions where we need to create heat maps or word clouds. Such tasks are accomplished by Claude's artifact feature, which works very effectively. It requires coding, but the AI agent inside Claude does everything automatically, generating HTML output for me to share with stakeholders.
It produces this automatically after making prompts, doing a good job and increasing my productivity.
With the help of Claude's artifact features, my workflow is easier compared to earlier manual formats where we had to focus on creating icons and infographics in PPT format, then converting that into an HTML version. Now, you just have to prompt it with what you want exactly, and it will produce icons and infographical formats, giving you a beautiful artifact kind of live, visually appealing, website-friendly HTML version of newsletters.
How has it helped my organization?
Claude has positively impacted my organization, as evident from the metrics which show productivity doubling and turnaround time being cut in half. Things were much less efficient before compared to now.
What is most valuable?
I have been using Claude for the last year, and it is a really good platform.
Claude offers some of the best features, particularly in email writing, where it stands out for me compared to other tools or methods, which I find valuable.
What needs improvement?
I face issues with Claude halting or hallucinating occasionally, as it happens with some projects but not all.
For how long have I used the solution?
I am working in the research and consulting field for more than 10 years.
What do I think about the stability of the solution?
Claude is stable for me, as I have not experienced any downtime or crashes.
What do I think about the scalability of the solution?
Its scalability handles increasing workloads and more users easily.
How are customer service and support?
Customer support has been helpful when I reached out.
Which solution did I use previously and why did I switch?
Before choosing Claude, I evaluated other options. One of them was XYZ tool, but I switched due to better efficiency and features in Claude.
What was our ROI?
I have seen a return on investment with Claude, as I can share relevant metrics including money saved, time saved, and fewer employees needed. I have specific numbers to illustrate this.
What's my experience with pricing, setup cost, and licensing?
My experience with pricing, setup cost, and licensing was straightforward without running into major challenges.
What other advice do I have?
I do not have a business relationship with this vendor other than being a customer, and I was not offered a gift card or incentive for this review.
We use other tech products such as Microsoft Excel and Slack. We can use my real name when publishing my review, along with my real company name.
On a scale of 1-10, I rate Claude an 8.
Malte Landwehr
Saves time in research and script writing but needs room for broader improvements
Reviewed on May 02, 2025
Review provided by PeerSpot
What is our primary use case?
I primarily use Claude for developing quick Python scripts, conducting research, and getting answers to complex questions. Claude saves me significant time when conducting research or writing quick Python scripts.
How has it helped my organization?
I never adopted Claude. So there was no improvement.
What is most valuable?
Claude saves me significant time when conducting research or writing quick Python scripts. Claude improves the quality of the code because I am not a very good software developer.
What needs improvement?
The foundational model would have to be improved to be comparable to ChatGPT for everyday use cases.
The system should be better at understanding when to reply directly with the foundational model and when to perform a web search.
For how long have I used the solution?
I have used Claude for about one and a half years.
What do I think about the stability of the solution?
Claude is stable in my experience.
What do I think about the scalability of the solution?
It scales very well.
How are customer service and support?
I never used customer support.
Which solution did I use previously and why did I switch?
I used ChatGPT previously and went back to ChatGPT.
What's my experience with pricing, setup cost, and licensing?
For an individual user, it is very easy and straightforward. I cannot speak to larger teams.
Which other solutions did I evaluate?
I evaluated Claude, ChatGPT, Perplexity, Gemini, Grok, DeepSeek, and Mistral.
What other advice do I have?
If you do something other than software development work, I would really just use ChatGPT instead. I rate the overall solution a six out of ten.