Choosing the Right AI Model
There are now dozens of AI models you could use, and new ones launch monthly. The overwhelm is real — but the decision is simpler than the marketing makes it sound. For most business tasks, you’re choosing between two or three tools, and the criteria are straightforward. Here’s a plain guide to picking without getting lost.
The Two Models Worth Starting With
Ignore everything else until you’ve used these consistently:
- Claude (Anthropic): Strongest for long-form reasoning, nuanced writing, following complex instructions, and working with large documents. Claude’s context window is excellent — you can paste an entire contract or a long email thread and it holds it all. Best default for drafting, analysis, legal/financial document review, and anything where precision and tone matter.
- ChatGPT / GPT-4o (OpenAI): Excellent for structured tasks, code assistance, and anything involving images or files. More plugins and integrations available. Many operators find GPT-4o faster for quick back-and-forth tasks. The ecosystem around it (Custom GPTs, API) is more mature.
In practice, many experienced operators use both. Claude for heavy drafting and reasoning; ChatGPT for speed and structured output. That’s a fine approach once you know each well.
Reasoning Models vs. Fast Models
Both Anthropic and OpenAI now offer two tiers within their product: standard (fast) models and extended-thinking (reasoning) models.
- Fast models (Claude Sonnet, GPT-4o mini): Quick, cheap, good for drafting emails, summarizing, simple Q&A, first drafts. Use these for high-volume, lower-stakes tasks.
- Reasoning models (Claude Opus with extended thinking, OpenAI o3): Slower, more expensive per query, but significantly better at multi-step problems, logic, strategy, and tasks where getting it right matters more than getting it fast. Use these for contract analysis, financial modeling review, complex planning, debugging tricky code.
Rule of thumb: if you’d spend 30+ minutes thinking through the problem yourself, use a reasoning model. If you’d knock it out in 5 minutes, use a fast model.
Specialized Models Worth Knowing
- Perplexity: Not a drafting tool — a research tool. It searches the web in real time and cites sources. Use it when you need current information, competitor research, or fact-checked answers. Don’t use it to write a proposal.
- Gemini (Google): Strong integration with Google Workspace. If your business runs on Google Docs, Gmail, and Drive, Gemini in Workspace can work inside those tools directly. Worth evaluating if deep Google integration matters to you.
- Local models (Ollama + Llama): For operators with data sensitivity concerns who want to run AI on their own hardware with no data leaving the building. A higher setup cost, but relevant for specific compliance scenarios.
How to Pick for a Specific Task
Use this three-question filter:
- Does it require current web information? If yes → Perplexity first, then bring the research into Claude or ChatGPT.
- Is it a complex multi-step reasoning task? If yes → Claude Opus with extended thinking or OpenAI o3.
- Is it a fast, repeatable drafting or formatting task? If yes → Claude Sonnet or GPT-4o mini. Faster and cheaper.
See Our Recommended AI Tool Stack for how models fit into a complete operator setup, and Prompt Engineering Basics for getting the most out of whichever model you pick.
Ready to put this to work? SMBOS members get the follow-along walkthroughs, templates, and a community of operators figuring this out together.