One of the most common questions we get from small business owners is: "Which AI should I use?" The marketing from every major AI company will tell you theirs is the best. The honest answer is that it depends entirely on what you're trying to do.
After implementing AI systems for dozens of small businesses, here's our practitioner's guide to the four models we use most frequently and when to choose each one.
The Four Models We Work With
- GPT-4o — OpenAI's flagship multimodal model, best-in-class for speed and general versatility
- Claude 3.5 Sonnet — Anthropic's model, exceptional for long documents, nuanced reasoning, and safety-critical use cases
- Gemini 1.5 Pro — Google's model, best for multimodal tasks and deep Google Workspace integration
- Azure OpenAI — GPT-4o hosted on Microsoft Azure, best for enterprise data residency and Microsoft ecosystem integration
Head-to-Head Comparison
| Capability | GPT-4o | Claude 3.5 | Gemini 1.5 | Azure OpenAI |
|---|---|---|---|---|
| General reasoning | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ |
| Long document analysis | ⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐ |
| Code generation | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ |
| Safe/nuanced outputs | ⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐⭐⭐ |
| Multimodal | ⭐⭐⭐⭐⭐ | ⭐⭐⭐ | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ |
| Microsoft integration | ⭐⭐⭐ | ⭐⭐⭐ | ⭐⭐ | ⭐⭐⭐⭐⭐ |
| Google Workspace | ⭐⭐ | ⭐⭐ | ⭐⭐⭐⭐⭐ | ⭐⭐ |
GPT-4o: The Swiss Army Knife
GPT-4o is our most-used model for good reason. It's fast, capable, and handles an enormous range of tasks with minimal prompt engineering. If you're not sure where to start, GPT-4o is usually the right first choice.
Best for: Customer chatbots, email automation, content generation, classification tasks, and any workflow where speed matters. Watch out for: Very long documents, situations requiring extreme caution in phrasing, or tasks where you need precise citations from source material.
Claude 3.5: The Careful Thinker
Claude has a distinct personality: it's more careful, more thorough, and better at saying "I don't know" when it doesn't know. For business applications where reliability and nuance matter more than raw speed, Claude often outperforms GPT-4o.
Best for: Legal document analysis, compliance review, sensitive customer communications, long-form research, and regulated industries.
Real example: We implemented Claude for a legal services firm analyzing 200-page contracts for specific clauses. Claude's 200K token context window and careful reasoning produced significantly fewer false positives than GPT-4o for this task.
Gemini 1.5: The Google Native
If your business runs on Google Workspace — Gmail, Google Docs, Google Drive, Google Meet — Gemini is worth serious consideration. Its native integration with Google's ecosystem is unmatched, and its 1-million token context window is genuinely remarkable for processing large datasets.
Best for: Google Workspace automation, analyzing large datasets, processing video and audio transcripts, businesses already deeply invested in the Google ecosystem.
Azure OpenAI: The Enterprise Choice
Azure OpenAI is GPT-4o hosted within Microsoft's Azure infrastructure. The model capability is essentially identical to OpenAI's API, but the hosting matters enormously for enterprise needs.
Best for: Businesses that need data residency guarantees, deep integration with Microsoft Dataverse and Power Platform, enterprise SLA requirements. If you're building AI agents inside Microsoft Dataverse, Azure OpenAI slots in natively with enterprise-grade security and compliance controls.
Our Recommendation Framework
We ask three questions to guide model selection:
- What ecosystem are you in? Microsoft → Azure OpenAI or GPT-4o. Google → Gemini. Neither → start with GPT-4o.
- What's the sensitivity of the content? High sensitivity (legal, medical, HR) → Claude. General business → GPT-4o.
- What's the volume and cost tolerance? High volume → GPT-4o mini or Claude Haiku. Quality-critical → full models.
The most important point: you don't have to choose just one. Our most sophisticated systems use multiple models for different tasks — GPT-4o for classification and speed, Claude for drafting and reasoning, Azure OpenAI for anything touching Microsoft Dataverse. Picking the right tool for each job is what separates a good AI implementation from a great one.