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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-5.6 for Customer Support
Cost at real ticket volume, escalation behaviour, and citation guarantees — plus the shadow-mode test to run before either model answers a live customer.
Claude vs GPT-5.6 for Coding
Verified specs and pricing, where the published benchmarks disagree and who published them, and how to settle it on your own repository in an afternoon.
Claude vs GPT-5.6 for Writing
Output ceilings, long-document context, and encoding a house style — plus the blind test that settles a question no benchmark can answer.
Claude vs GPT-5.6 for Document Analysis
The one category where the two are not close, and the reason is billing rather than intelligence. Long-context economics, citations, and the “not present” test.
Claude Haiku vs Sonnet — the gap closed in 2026
Sonnet 5 is now 2x Haiku 4.5, down from 3.75x a year ago. That, plus an 11-month cutoff gap and 5x the context, has inverted the standard advice.
Claude vs OpenAI for Enterprise
Governance surfaces, audit access down to local sessions, deployment flexibility, and the six procurement questions that settle this before any benchmark does.
Claude vs Gemini for Business
The Workspace integration question, and the Gemini Flash price increase on January 1, 2027 that almost nobody is modelling into a twelve-month TCO.
How we write these comparisons
Every page here leads with verified specs and pricing, attributes each performance claim to whoever published it, and gives you a method to settle the question on your own workload. Where Claude is weaker, we say so. Where the honest answer is “these are close and the model is not your problem,” we say that too.