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Anthropic’s Claude models are celebrated for their nuanced understanding, minimal refusals, and a unique “hybrid reasoning” capability that allows agents to think deeply before responding. These models are available to use without any configuration.
Anthropic’s first hybrid reasoning model that can toggle between near-instant responses and extended, step-by-step thinking.Use Cases:
  • High-precision autonomous agents
  • Full-stack software engineering (debugging, planning, refactoring)
  • Computer use (navigating UIs, clicking, and typing)
Highlights:
  • “Extended Thinking” mode for complex logic and math
  • Top-tier performance on SWE-bench (70.3% accuracy)
  • 200K context window with improved instruction following
The fastest and most cost-effective model in the Claude family, matching the intelligence of previous flagship models.Use Cases:
  • Real-time customer support chatbots
  • High-volume data classification and extraction
  • Rapid code suggestions and autocomplete
Highlights:
  • Blazing speed with near-zero latency
  • Significantly higher reasoning ability than other “mini” models
  • Excellent at processing unstructured visual data (charts/graphs)
The ultimate frontier model from Anthropic, designed for the most complex enterprise-scale reasoning and long-horizon tasks.Use Cases:
  • Orchestrating multi-agent systems
  • Handling high-ambiguity research and strategy
  • Large-scale architectural refactors across multiple codebases
Highlights:
  • Best-in-class performance at handling ambiguity and edge cases
  • Superior “goal-directed” behavior for 30+ minute autonomous sessions
  • 20% more token-efficient than Sonnet 4.5 for complex tasks
The industry-leading model for agentic coding and computer use, balancing speed with massive intelligence.Use Cases:
  • Proactive cybersecurity agents (patching vulnerabilities)
  • Advanced financial and predictive analysis
  • Managing complex browser-based workflows
Highlights:
  • Rated as the “best coding model” for agentic tool use
  • Native 64K output token limit for long-form generation
  • 61%+ accuracy on OSWorld (real-world computer tasks)
Advanced flagship models optimized for deep-domain reasoning in law, medicine, and STEM.Use Cases:
  • Professional-grade legal document review and opinion drafting
  • Scientific research synthesis and discovery
  • Complex litigation and record interrogation
Highlights:
  • “Opus 4.1” features enhanced domain-specific knowledge
  • Maintains context coherence over hundreds of tool calls
  • Highly resistant to sycophancy and hallucinations
The versatile workhorse of the Claude 4 family, built for high-volume production and refined aesthetics.Use Cases:
  • Production-grade content generation and brand-voice alignment
  • Triage and management of CI/CD pipelines
  • High-throughput user-facing assistants
Highlights:
  • Droppable replacement for Sonnet 3.7 with 2x speed
  • Excellent at parallel tool execution (multiple bash/search calls)
  • Balanced performance, responsiveness, and cost
🛡️ Note: All Anthropic models follow Constitutional AI principles, making them the safest choice for enterprise applications where brand risk and alignment are critical.