CLOD: Everything you need to know about anthropic AI

Anthropic, one of the largest AI suppliers in the world, has a powerful family of AI -called -Claude generative models. These models can perform a range of tasks, from images and writing emails to solving mathematics and encoding challenges.

As the model ecosystem of Anthropic grows so fast, it can be difficult to keep track of which Claude models do what. To help, we have compiled a Claude guide, which we will keep up -to -date as new models and superstructures arrive.

Claude models

Claude’s models are named after literary works of art: haiku, sonnet and opus. Most are:

• CLOD 3.5 haikuLightweight model.
• Claude 3.7 SonnetMedium range model, hybrid reasoning. It is currently an AI lead model of Anthropic.
• Close the 3rd workBig model.

Contrancive, Claude 3 opus -the largest and most expensive anthropic offers of the model -is the least capable CLUDE model at the moment. However, this will certainly change when the anthropic releases an updated version of the OPU.

Just recently Anthropic released Claude 3.7 SonnetHis most modern model to date. This AI model is different from Claude 3.5 Haiku and Claude 3 Opus, as it is a hybrid AI reasoning model that can give both real-time answer and more thoughtful “thoughtful” answers to questions.

When using Claude 3.7 Sonnet, users can choose whether to include the AI ​​model reasoning capabilities that encourage the model to “think” for a short or long period of time.

When reasoning is included, Claude 3.7 Sonnet will spend every few seconds in a few minutes in the “thinking” phase before answering. During this phase, the AI ​​model breaks up the user’s subjected to smaller parts and checks his answers.

Claude 3.7 Sonnet is the first AI model of Anthropic to “think”, technique Many AI laboratories have turned as traditional methods of improvingS

Even with his discussion with disabilities, Claude 3.7 Sonnet remains one of the best AI models of the technology industry.

In November, Anthropic released an improved – and more expensive – a version of its light AI model, CLOD 3.5 haikuS This model is superior to Anthropic’s Claude 3 opus in several indicators, but cannot analyze images such as Claude 3 opus or Claude 3.7 Sonnet Can.

All CLUude-and-who have a standard context window with 200,000 token-can also follow multi-stage instructions, Use tools (eg JsonS

The context window is the amount of data that a model like a Claude can analyze before generating new data, while the tokens are subdivided bits of raw data (such as the fan “fan”, “tas” and “tic” in the word “fantastic”). Two hundred thousand tokens are equivalent to about 150,000 words or a 600 -page novel.

Unlike many basic generative models of AI, Anthropic cannot have internet access, which means that they are not particularly great in answers to current events questions. They also cannot generate images – just simple linear diagrams.

As for the main differences between Claude models, Claude 3.7 Sonnet is faster than Claude 3 opus and better understands nuanced and sophisticated instructions. Haiku is struggling with complex prompts, but this is the fastest of the three models.

Claude’s pricing model

CLUDE models are available via anthropic API and managed platforms like Amazon Bedrock and Google Cloud’s Vertex AIS

Here is the pricing of the anthropic API:

• CLOD 3.5 haiku Cost 80 cents per million input tokens (~ 750,000 words), or $ 4 per million markers
• Claude 3.7 Sonnet cost $ 3 per million input tokens, or $ 15 per million output markers
• Close the 3rd work costs $ 15 per million input tokens or $ 75 per million -heeled

Anthropic offers fast caching and batch to obtain additional savings of performance.

Quick caching allows developers to store specific “fast contexts” that can be reused when calling API to model, while accounting for asynchronous groups with low priority (and subsequently cheaper) requests for conclusions.

Claude plans and applications

For individual users and companies who just want to interact with CLUude models through Web, Android and iOS apps, Anthropic offers a free Claude plan with tariff restrictions and other use restrictions.

Upgrading to one of the company’s subscriptions removes these restrictions and unlocks new functionality. The current plans are:

Claude Pro, which costs $ 20 a month, comes with 5 times higher rates limits, priority access and visualization of upcoming features.

By focusing on the business, the team costs $ 30 per month-adding a charge and consumer billing board and managing dashboard with data reports such as customer relationships and platforms (eg Salesforce) S The inclusion allows or deactivates the AI-Generated Claims Verification quotes. (Like all models, Claude halluccess from time to time.)

Both Pro and Team subscribers receive projects, a feature that bases CLUDE results in knowledge bases that can be style guidelines, interview transcripts, etc. These customers, together with free -level users, can also touch artifacts, workspace where users can edit and add to content such as code, applications, website designs and other documents generated by CLude.

For customers who need even more, there is Claude Enterprise, which allows companies to upload their own data to Claude so that Claude can analyze the information and answer questions about it. Claude Enterprise is also available with a larger context window (500,000 tokens), GitHub integration for engineering teams to synchronize their GitHub storage facilities with CLude and projects and artifacts.

A word of caution

As with all generative models of AI, there are risks associated with the use of CLUDE.

The models from time to time Make mistakes when you summarize or Answering questions Due to their tendency to hallucinatedS They are also trained for public web data, some of which can be protected by copyright or under a restrictive license. Anthropian and many other AI suppliers claim that honest The doctrine protects them from copyright allegations. But this has not stopped data owners from LawsuitsS

Anthrop offers policies In order to protect certain clients from the battles in the courtroom arising from the challenges of honest use. However, they do not allow the ethical danger of using data trained without permission.

This article was originally published on October 19, 2024. It was updated on February 25, 2025 to include new details about Claude 3.7 Sonnet and Claude 3.5 Haiku.