Not all language models are the same. Here is how the major options compare for SLP-specific workflows: not benchmarks, but practical differences that matter in a clinical context.

ChatGPT (OpenAI)

• Best for: Quick drafts, brainstorming, general-purpose writing
• Tone: Tends toward polished, corporate-sounding language
• SLP sweet spot: Fast goal brainstorms, parent email drafts, activity ideas
• Watch out for: Can sound too generic; outputs need voice editing
• Privacy: Public by default; Enterprise/Team plans available with data controls

Claude (Anthropic)

• Best for: Nuanced writing, longer documents, ethical reflection
• Tone: More natural, follows instructions closely, less boilerplate
• SLP sweet spot: Progress notes, IEP goal review, structured clinical reflection
• Watch out for: Can be overly cautious with disclaimers
• Privacy: Public by default; business plans available with data controls

Gemini (Google)

• Best for: Research summaries, data organization, multi-step analysis
• Tone: Variable; can be verbose or overly structured
• SLP sweet spot: Literature reviews, data trend summaries, caseload organization
• Watch out for: Can hallucinate citations, so always verify sources
• Privacy: Public by default; Workspace plans offer enterprise controls

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The real answer: The best model is the one you learn to prompt well and review critically. None of them are clinical tools. All of them are capable assistants when used within appropriate boundaries. Start with whichever you have access to and focus on developing good habits around de-identification, review, and maintaining your clinical voice.