Claude 5.5: What you need to know about Anthropic's AI models and chatbot
Anthropic has expanded its Claude AI family with four model variants, each tailored for different needs and budgets, while introducing features like Artifacts and Research mode to enhance productivity and deep analysis.
Anthropic’s Claude now includes four model variants—Fable, Opus, Sonnet, and Haiku—each optimized for different priorities such as speed, intelligence, or cost. Fable is positioned as the most capable for long coding projects and complex analysis, while Opus is designed for heavy enterprise workloads. Sonnet offers a balanced option for general use, and Haiku prioritizes affordability and speed for time-sensitive tasks. The models reflect Anthropic’s focus on safe, ethical AI development guided by a constitutional training framework.
Claude’s pricing tiers range from free access to Sonnet and Haiku to paid plans like Pro ($20/month) and Max 5x ($100/month), which unlock higher usage limits and advanced features. Enterprises and professionals use Claude for coding, research, and content creation, with the chatbot capable of autonomous project execution. Zapier integrates these models, allowing users to apply Claude’s capabilities across thousands of applications through features like Zapier MCP.
New features such as Artifacts enable users to generate interactive tools, visualizations, and documents directly within the chat interface. These artifacts can be edited, shared, or reused, streamlining workflows like creating internal business apps or data dashboards. Anthropic also allows artifacts to consume individual user tokens, reducing the burden on a single account’s limits. The tool has been used to build everything from simple games to complex project trackers with AI-assisted task prioritization.
Claude’s Research mode leverages a multi-agent system to conduct deep investigations, compiling comprehensive reports by analyzing numerous sources simultaneously. Users can adjust effort levels—Low, Medium, High, or Max—to balance response depth and speed. For example, a detailed cruise review was completed in ten minutes using High effort, demonstrating the feature’s efficiency for nuanced research tasks.