Claude 4.5 Sonnet vs Grok 3

1. Best-in-class coding performance

• #1 on SWE-bench Verified (77.2% standard, 82.0% high-compute).
• Excels at debugging, architecture, and multi-file code generation.
• Maintains coherence for extremely long tasks (30+ hours).

2. State-of-the-art computer use & agents

• Leads OSWorld at 61.4%.
• Strongest model for agentic workflows, multi-step tool use, and real computer control.
• Powering Claude Code, the new Claude Agent SDK, and Chrome agent actions.

3. Advanced reasoning & math

• Large improvements across reasoning-heavy benchmarks (AIME, MMMLU, τ2-bench, Terminal-Bench).
• Deep multi-step reasoning with extended or interleaved thinking.

4. High alignment & safety

• Most aligned Claude model to date with reduced deception, hallucinations, sycophancy, and harmful compliance.
• Strong protections against prompt injection for agentic tasks (ASL-3 safeguards).

5. Domain-expert performance

• Notable gains in finance, law, medicine, and STEM tasks.
• Trusted by early customers for long-context legal analysis, multi-file engineering, security research, and red-teaming.

1. Strong enterprise-grade reasoning

• Built for deep logical reasoning, structured decision-making, and multi-step analysis.
• Performs exceptionally in domains requiring precision: law, finance, healthcare, and STEM.

2. Excellent at data extraction and summarization

• Optimized for structured extraction from documents, PDFs, tables, and complex text.
• Ideal for enterprise workflows like reporting, compliance automation, or knowledge mining.

3. High-performance coding capabilities

• Excels at code generation, debugging, refactoring, and explaining code.
• Competitive with top-tier coding models for multi-file, long-context code reasoning.

4. Supports function calling and structured outputs

• Integrates cleanly with agent frameworks and external tools.
• Predictable, schema-aligned responses suitable for production systems.

5. Large 131K context window

• Handles long documents, transcripts, contracts, codebases, or multi-document tasks.
• Useful for ingesting highly technical materials in one pass.

6. Efficient cost structure with cached token pricing

• Cached inputs: only $0.75 / 1M tokens, enabling large-scale systems.
• Encourages reuse for powerful retrieval-augmented workflows.

7. Enterprise reliability and availability

• Supported across multiple regions (us-east-1, eu-west-1).
• Consistent rate limits: 600 requests/min.
• Suitable for production-grade apps with stability requirements.

8. Supports advanced search capabilities

• Optional Live Search add-on for real-time knowledge retrieval.
• Pricing: $25 per 1K sources.