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AI model comparisons for real decisions
Practical comparisons for people choosing a model for a real task — honest trade-offs based on implementation experience, not vendor marketing.
Claude vs GPT-4 for Customer Support
Tone, refusal rates, policy adherence, and what actually matters when customers are frustrated. The practical comparison for support automation teams.
Claude vs GPT-4 for Coding
From one-shot code generation to complex refactors. What developers actually experience when building with each model in production.
Claude vs GPT-4 for Writing
Brand voice, long-form prose, editing, and style-guide compliance. Where AI-sounding output is a failure mode and which model avoids it better.
Claude vs GPT-4 for Document Analysis
Contracts, financial reports, multi-document synthesis. Where context window size, retrieval coherence, and hallucination rates actually matter.
Claude Haiku vs Sonnet — When to use which
The cost-quality tradeoff in practice. A decision framework for the most common model choice developers face, with task-by-task guidance.
Claude vs OpenAI for Enterprise
The comparison decision-makers search for. Data privacy, admin controls, context window, compliance, and what actually determines the vendor decision at scale.
Claude vs Gemini for Business
Anthropic's Claude vs Google Gemini — instruction following, writing quality, Workspace integration, video understanding, and which one wins for your team's actual use case.
How we write these comparisons
These are written from real implementation experience. Where Claude has a genuine weakness, we say so. Where GPT-4 is better for a specific task, we say so too. The goal is to help you pick the right tool.