Key Takeaways
- GPT-4, Claude, and Gemini represent the frontier of AI capability, but open-source models (Llama, Mistral) are closing the gap rapidly.
- LLM costs have dropped 90%+ in 18 months, making AI accessible to businesses of all sizes.
- Hallucination remains the primary risk: LLMs generate plausible but incorrect information. RAG and guardrails are essential for business use.
Comparing Leading LLMs for Business
| Model | Best For | Key Strength |
|---|---|---|
| GPT-4o (OpenAI) | General purpose, coding, analysis | Broadest capability, largest ecosystem |
| Claude 3.5 (Anthropic) | Long documents, nuanced writing | 200K context window, safety focus |
| Gemini 1.5 (Google) | Multimodal (text + image + video) | 1M token context, Google integration |
| Llama 3 (Meta) | Self-hosted, data privacy | Open-source, no API costs |
For most business applications, start with GPT-4o or Claude via API. Move to self-hosted open-source models only when data privacy requirements or cost at scale demand it.
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