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Anthropic, the second-largest AI vendor after OpenAI, has a powerful family of generative AI models called Claude. These models can perform a range of tasks, from annotating photos and writing emails to solving math and programming challenges.
With Anthropic’s model ecosystem growing so quickly, it can be difficult to keep track of which Cloud models are doing what they’re doing. To help, we’ve put together a guide for Claude, which we’ll continue to update as new models and upgrades arrive.
Claude Models
Claude’s models are named after literary works of art: haiku, sonnet, and opus. The latest ones are:
- Claude 3.5 HaikuLightweight model.
- Claude 3.5 Sonnetmedium-range model.
- Claude 3 Opusthe leading anthropic model.
Counterintuitively, the Claude 3.5 Sonet – the “mid-range” model – is Claude’s most capable model at the moment. This will almost certainly change once the next version of Opus, Claude 3.5 Opus, is released.
All of Claude’s models can analyze text as well as images, charts, graphs and technical diagrams from documents. The forms, which have a standard context window containing 200,000 characters, can also follow multi-step instructions, Use tools (e.g., stock ticker trackers), and produce structured output in formats such as JSON.
A context window is the amount of data a model like CLOUD can analyze before generating new data, while tokens are segmented pieces of raw data (like the “fan,” “tas,” and “tic” syllables in the word “fantastic”). Two hundred thousand symbols are equivalent to about 150,000 words, or a 600-page novel.
Unlike many major generative AI models, Anthropic doesn’t have access to the Internet, which means they’re not particularly good at answering current events questions. They also can’t create pictures — only simple line charts.
As for the main differences between the Claude models, the Claude 3.5 Sonnet is faster than the Claude 3 Opus and understands precise and complex instructions better. Haiku struggles with complex prompts, but is the fastest of the three models.
Cloud model pricing
Claude’s models are available through Anthropic’s API and managed platforms such as Amazon Bedrock and Google Cloud’s Vertex AI.
Here’s the Anthropic API pricing:
- Claude 3.5 Haiku Costs 25 cents per million input tokens (about 750,000 words), or $1.25 per million output tokens
- Claude 3.5 Sonnet It costs $3 per million input codes, or $15 per million output codes
- Claude 3 Opus It costs $15 per million input codes, or $75 per million output codes
Anthropic offers fast caching and compilation for additional runtime savings.
Instant caching allows developers to store specific “fast contexts” that can be reused via API calls to a model, while aggregation processes asynchronous batches of lower-priority (and therefore cheaper) model inference requests.
Claude plans and applications
For individual users and businesses looking to simply interact with Claude Forms via web, Android, and iOS apps, Anthropic offers a free Claude plan with pricing caps and other usage restrictions.
Upgrading to one of the company’s subscriptions removes these limitations and unlocks new functionality. Current plans are:
Claude Pro, which costs $20 per month, comes with 5x higher price caps, priority access, and previews of upcoming features.
Because it’s business-focused, Team—which costs $30 per user per month—adds a dashboard to control billing, user management, and integration with data repos like code bases and CRM platforms (e.g., Salesforce). The toggle enables or disables citations to verify claims generated by AI. (Like all models, Claude hallucinates from time to time.)
Both Pro and Team subscribers get Projects, a feature that builds on Claude’s output in knowledge bases, which can be style guides, interview scripts, etc. These customers, along with free tier users, can also take advantage of Artifacts, a workspace where users can edit and add content such as code, applications, website designs, and other documents created by Claude.
For customers who need more, there’s Claude Enterprise, which allows companies to upload proprietary data to Claude so Claude can analyze the information and answer questions about it. Claude Enterprise also comes with a larger context window (500,000 icons), and GitHub integration for engineering teams to sync their GitHub repositories with Claude, projects and artifacts.
A word of warning
As with all generative AI models, there are risks associated with using CLOUD.
Models sometimes Making mistakes when summarizing or answer the questions Because of their tendency to hallucinate. They are also trained on public web data, some of which may be copyrighted or under a restricted license. Anthropic and many other AI vendors argue that Fair use The doctrine protects them from copyright claims. But this did not stop data subjects from Filing lawsuits.
Anthropic Policy offers To protect some customers from courtroom battles arising from fair use challenges. However, it does not solve the ethical dilemma of using models trained on data without permission.
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